Engineering surface electrostatics affords control over morphological preference, synergy, and activity in polymer degrading enzymes

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Engineering surface electrostatics affords control over morphological preference, synergy, and activity in polymer degrading enzymes | bioRxiv /* */ /* */ <!-- <!-- /*! * yepnope1.5.4 * (c) WTFPL, GPLv2 */ (function(a,b,c){function d(a){return"[object Function]"==o.call(a)}function e(a){return"string"==typeof a}function f(){}function g(a){return!a||"loaded"==a||"complete"==a||"uninitialized"==a}function h(){var a=p.shift();q=1,a?a.t?m(function(){("c"==a.t?B.injectCss:B.injectJs)(a.s,0,a.a,a.x,a.e,1)},0):(a(),h()):q=0}function i(a,c,d,e,f,i,j){function k(b){if(!o&&g(l.readyState)&&(u.r=o=1,!q&&h(),l.onload=l.onreadystatechange=null,b)){"img"!=a&&m(function(){t.removeChild(l)},50);for(var d in y[c])y[c].hasOwnProperty(d)&&y[c][d].onload()}}var j=j||B.errorTimeout,l=b.createElement(a),o=0,r=0,u={t:d,s:c,e:f,a:i,x:j};1===y[c]&&(r=1,y[c]=[]),"object"==a?l.data=c:(l.src=c,l.type=a),l.width=l.height="0",l.onerror=l.onload=l.onreadystatechange=function(){k.call(this,r)},p.splice(e,0,u),"img"!=a&&(r||2===y[c]?(t.insertBefore(l,s?null:n),m(k,j)):y[c].push(l))}function j(a,b,c,d,f){return q=0,b=b||"j",e(a)?i("c"==b?v:u,a,b,this.i++,c,d,f):(p.splice(this.i++,0,a),1==p.length&&h()),this}function k(){var a=B;return a.loader={load:j,i:0},a}var l=b.documentElement,m=a.setTimeout,n=b.getElementsByTagName("script")[0],o={}.toString,p=[],q=0,r="MozAppearance"in l.style,s=r&&!!b.createRange().compareNode,t=s?l:n.parentNode,l=a.opera&&"[object Opera]"==o.call(a.opera),l=!!b.attachEvent&&!l,u=r?"object":l?"script":"img",v=l?"script":u,w=Array.isArray||function(a){return"[object Array]"==o.call(a)},x=[],y={},z={timeout:function(a,b){return b.length&&(a.timeout=b[0]),a}},A,B;B=function(a){function b(a){var a=a.split("!"),b=x.length,c=a.pop(),d=a.length,c={url:c,origUrl:c,prefixes:a},e,f,g;for(f=0;f<d;f++)g=a[f].split("="),(e=z[g.shift()])&&(c=e(c,g));for(f=0;f<b;f++)c=x[f](c);return c}function g(a,e,f,g,h){var i=b(a),j=i.autoCallback;i.url.split(".").pop().split("?").shift(),i.bypass||(e&&(e=d(e)?e:e[a]||e[g]||e[a.split("/").pop().split("?")[0]]),i.instead?i.instead(a,e,f,g,h):(y[i.url]?i.noexec=!0:y[i.url]=1,f.load(i.url,i.forceCSS||!i.forceJS&&"css"==i.url.split(".").pop().split("?").shift()?"c":c,i.noexec,i.attrs,i.timeout),(d(e)||d(j))&&f.load(function(){k(),e&&e(i.origUrl,h,g),j&&j(i.origUrl,h,g),y[i.url]=2})))}function h(a,b){function c(a,c){if(a){if(e(a))c||(j=function(){var a=[].slice.call(arguments);k.apply(this,a),l()}),g(a,j,b,0,h);else if(Object(a)===a)for(n in m=function(){var b=0,c;for(c in a)a.hasOwnProperty(c)&&b++;return b}(),a)a.hasOwnProperty(n)&&(!c&&!--m&&(d(j)?j=function(){var a=[].slice.call(arguments);k.apply(this,a),l()}:j[n]=function(a){return function(){var b=[].slice.call(arguments);a&&a.apply(this,b),l()}}(k[n])),g(a[n],j,b,n,h))}else!c&&l()}var h=!!a.test,i=a.load||a.both,j=a.callback||f,k=j,l=a.complete||f,m,n;c(h?a.yep:a.nope,!!i),i&&c(i)}var i,j,l=this.yepnope.loader;if(e(a))g(a,0,l,0);else if(w(a))for(i=0;i (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0];var j=d.createElement(s);var dl=l!='dataLayer'?'&l='+l:'';j.src='//www.googletagmanager.com/gtm.js?id='+i+dl;j.type='text/javascript';j.async=true;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-M677548'); Skip to main content Home About Submit ALERTS / RSS Search for this keyword Advanced Search New Results Engineering surface electrostatics affords control over morphological preference, synergy, and activity in polymer degrading enzymes View ORCID Profile Liliana Oliveira , Elaine M. Rudge , View ORCID Profile Michael Zahn , View ORCID Profile Victoria Bemmer , View ORCID Profile Kerry R. Green , View ORCID Profile Andrew R. Pickford , View ORCID Profile Bruce R. Lichtenstein doi: https://doi.org/10.1101/2025.01.06.631575 Liliana Oliveira a Centre for Enzyme Innovation, School of the Environment and Life Sciences, University of Portsmouth , UK Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for Liliana Oliveira Elaine M. Rudge a Centre for Enzyme Innovation, School of the Environment and Life Sciences, University of Portsmouth , UK Find this author on Google Scholar Find this author on PubMed Search for this author on this site Michael Zahn b Hannover Medical School, Fritz-Hartmann-Centre for Medical Research , Hanover, DE c Martin Luther University Halle-Wittenberg, Biocenter, Core Facility Protein Production , Halle, DE Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for Michael Zahn Victoria Bemmer a Centre for Enzyme Innovation, School of the Environment and Life Sciences, University of Portsmouth , UK Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for Victoria Bemmer Kerry R. Green a Centre for Enzyme Innovation, School of the Environment and Life Sciences, University of Portsmouth , UK Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for Kerry R. Green Andrew R. Pickford a Centre for Enzyme Innovation, School of the Environment and Life Sciences, University of Portsmouth , UK Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for Andrew R. Pickford Bruce R. Lichtenstein a Centre for Enzyme Innovation, School of the Environment and Life Sciences, University of Portsmouth , UK Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for Bruce R. Lichtenstein For correspondence: bruce.lichtenstein{at}port.ac.uk Abstract Full Text Info/History Metrics Supplementary material Preview PDF Abstract The biocatalytic recycling of plastics, such as polyethylene terephthalate (PET), promises a sustainable alternative to our present open-loop cycles. Engineering of PET-hydrolases for this purpose has focused on improving activity near the glass-transition temperature of the polymer by increasing their thermostability, neglecting other features of the protein-polymer system that affect enzymatic activity. Here, we isolate the effect of electrostatics on the activity of a thermophilic PETase by rationally redesigning its surface charge, while preserving its thermodynamic properties. The enzyme variant, Sf Inv, shows orders of magnitude improvements in binding affinity and in activity towards untreated plastic films, with inverted morphological preference. When combined, the wildtype enzyme and Sf Inv act synergistically, revealing an entirely new mechanism for cooperative activities driven by complimentary electrostatic interactions at the PET surface. These findings highlight unexplored avenues in improving PETase function through the control of morphological preference or introduction of protein cooperativity by exploiting protein electrostatics. Introduction Using enzymes for biocatalytic depolymerisation of plastics provides a low-energy and low-resource alternative to the current open-loop recycling of common consumer materials 1 . In the case of polyethylene terephthalate (PET), this process allows for the nearly quantitative recovery of the constituent monomers terephthalic acid (TPA) and ethylene glycol (EG), making new routes to (bio)-chemical valorisation and repolymerisation accessible 2 , 3 . The range of PETases, enzymes capable of carrying out this conversion, has also been expanded in recent years through discovery and further engineering 4 – 8 . Most of these research efforts have targeted large-scale bio-recycling through increases in enzymatic thermostability, allowing for improved reaction rates and depolymerisation extents by taking advantage of higher polymer chain mobility near the bulk PET glass transition temperature (T g ) 9 – 14 . This primary focus on thermostability has deepened our understanding of thermodynamically important structural features of PET-degrading enzymes; 10 , 14 however, it has left obscure much of the fundamental nature of the interactions between the proteins and the polymer surface, which ultimately governs enzymatic selectivity, optimal conditions and industrial performance. Plastic-degrading enzymes face a multitude of challenges associated with the physical-chemical properties of their solid, hydrophobic substrate beyond polymer chain dynamics, which cannot be overcome by enhanced enzymatic thermostability and higher reaction temperatures. On solid substrates, catalytic activities can be influenced by restricted diffusion, variations in the density of surface charge, degree of crystallinity, and protein-protein interactions 15 – 19 . These complications have been shown to underlie some of the more counter intuitive behaviours we observe in natural PETases, such as diminished activities at elevated enzyme concentrations, 17 , 20 , 21 which prevent some members of the enzyme family from being used at an industrial scale. Studying such attributes can therefore clarify fundamental enzyme-polymer interactions underlying catalytic activities, allowing us to better engineer biocatalysts towards industrial recycling applications. In this study we examine Sf Cut, a highly active, thermostable PETase from Saccharopolyspora flava most closely related to PHL7 8 ( Figure 1 ), previously reported 4 to have an exceptional preference for micronized PET powder over amorphous PET film. We sought to understand the molecular basis for this morphological preference, hoping to gain insight into how substrate specificity is controlled. Through focused structural analysis, we identified that the principal feature differentiating Sf Cut from other PETases was its markedly negative charge; to explore the implications of this property, we used a rational protein design approach that maintained the thermodynamic stability of Sf Cut while inverting its overall charge. This allowed us to clarify the role of protein electrostatics in substrate morphological preference and provided new insights into how we can use protein charge to exploit protein-protein interactions at the plastic surface. By connecting structural analysis with careful protein design, this study contributes to advancing the development of more efficient targeted strategies for improving enzymes for plastic biodegradation. Download figure Open in new tab Figure 1. Phylogenetic tree showing relationship between Sf Cut and other previously reported PETases. The structure of three well characterised PETases are represented as surfaces coloured by their surface potential at pH 7.5, as calculated by APBS 51 . Sf Cut falls within the same clade as the thermotolerant type I PETases (green). Type II bacterial PETases are shown in purple and those of fungal origin are shown as the grey outgroup. Accession codes for the PETases used can be found in Supplementary Table 1 and the alignment used to build the tree in Supplementary Figure 1. Results and Discussion Structural analysis of Sf Cut and surface charge redesign To understand the parameters that influence the substrate morphological preference of Sf Cut, we carefully examined its structure. Like other reported PETases, Sf Cut (PDB: 7QJP) adopts a typical alpha-beta hydrolase fold, with a conserved disulfide bond between Cys243 and Cys260. The active site matches that of a typical PET-degrading serine hydrolase, composed of a catalytic triad (Ser132, Asp178 and His210), a conserved tryptophan (Trp157), an oxyanion hole (Phe64 and Met133) and a lipase box. Despite these features, Sf Cut is strikingly different to other highly active PETases owing to its negative surface charge and total charge density of -0.55 per kDa at neutral pH. These charges are mostly found on the surface opposite to the active site, away from residues expected to directly interact with the plastic ( Figure 2a/c ). This pronounced charge appears to modulate the morphological selectivity of Sf Cut, causing its activity to drop considerably between pH 6.0 and pH 7.5 on films while it increases on amorphous powders 4 . As PET has a stable, negative zeta potential independent of pH at these conditions 22 , the changes in depolymerisation rates implicate the involvement of both protein and polymer electrostatics as significant factors in these properties. Download figure Open in new tab Figure 2. Biophysical characterisation of Sf Cut and Sf Inv. a Cartoon representation of Sf Cut, with positively and negatively charged residues represented as sticks. Positive charges are shown as blue, negative charges as red. Active site residues are shown in grey at the top of the structure. b Structural alignment between Sf Cut (white, PDB: 7QJP) and the crystal structure of Sf Inv (blue, PDB: 9EWR) confirms the adoption of an alpha-beta hydrolase fold and the success of the design with a Cα RMSD of 0.36 and a TM-score of 0.99. c Surface representation of the potential surfaces of Sf Cut and Sf Inv at pH 7.5, as calculated by APBS. d Heatmap for activity optima of Sf Cut and Sf Inv at 100 nM on amorphous PET powders across temperatures and pH. Apparent T m at a scan rate of 90 °C/hour for the respective enzymes is indicated. Additional data for PET films and semi-crystalline powders can be found in Supplementary Figure 7. e Circular dichroism spectra at 50 °C shows both enzymes remain well structured at their reaction optima. We aimed to investigate how protein charge influences substrate morphology preference of Sf Cut by extensively redesigning its surface. To ensure clarity in our analysis, we sought to isolate the effects of charge substitutions from inadvertent changes to enzyme activity caused by variations in protein thermostability. To avoid this, we selected a manual design approach over computational methods, as the later have been constructed in a way that produces stabilised proteins as outputs. For design purposes, all charged residues in the crystallographic structure, including histidines involved in salt bridges, were identified and counted towards the overall protein charge (-16). Owing to the lack of observed crystallographic density, we did not count the first and last glutamic acid residues in the sequence. To minimise disruption of the protein-polymer interface and the active site, only residues at a distance greater than 10 Å from the catalytic triad were considered for mutation. For the purposes of design, we ranked residues based on how amenable to change they might be, excluding those that were buried, involved in critical polar contacts, stabilising secondary structural elements, or providing an ambiguous structural role. Our choices of sites for mutation were supported by referencing the position-specific scoring matrix (PSSM) of Sf Cut (Supplementary Spreadsheet 1) excluding residues at highly conserved sites. As a priority for mutation, we focused on changing isolated negatively charged residues on Sf Cut’s surface, considering structural context to minimise steric clashes and preserve native contacts. Once all the free residues amenable to change were exhausted, we proceeded to consider mutations within larger salt-bridge clusters followed by neutral surface residues. In the interest of investigating solely the effect of the surface charge, we did not intentionally introduce mutations that could create new stabilising interactions. The redesigned variant, here referred to as Sf Inverse ( Sf Inv), incorporates 24 mutations (Supplementary Table 2; Supplementary Figure 2) at sites with an average information content of 0.41, resulting in an overall charge of +16 (Δ charge of +32) and a charge density of + 0.54 per kDa at neutral pH. Structural predictions using ColabFold 23 , 24 and ESMfold 25 (pLDDT > 0.9, Supplementary Figure 3) closely align with the crystal structure of Sf Cut, having C α RMSD values of 0.38 Å and 0.52 Å, respectively. These results suggested that the redesign was likely to preserve the protein fold, without introducing structural changes that could impact enzymatic function. Biophysical characterisation of Sf Inv We sought to confirm that the extensive surface modifications introduced to Sf Inv did not impact its biophysical properties or its ability to hydrolyse PET plastic. Sf Inv expressed in E. coli at comparable levels to the wildtype enzyme, and its identity was confirmed by mass spectrometry after purification (Supplementary Spreadsheet 2). Both Sf Inv and Sf Cut showed similar melting temperatures and thermo-kinetic profiles when analysed by DSC. The apparent T m were 73 °C for Sf Inv and 76 °C for Sf Cut ( Figure 2d , Supplementary Figure 4, Supplementary Table 3), with both enzymes unfolding in a single irreversible step therefore realising our design ambition of minimising the impact on thermodynamic stability. The protein fold and success of the design were further confirmed through circular dichroism (CD) and structure determination by X-ray crystallography. Sf Inv readily crystallised under several conditions, and its structure was solved to a final resolution of 1.17 Å (Supplementary Table 4). The asymmetric unit in the structure contained two chains, which aligned with a C α RMSD 0.24 Å, and the more complete chain B was used for structural analysis. The solved crystallographic structure of Sf Inv (PDB: 9EWR) confirmed that the enzyme retained its alpha-beta hydrolase fold ( Figure 2b ) and exhibited the expected positively charged surface ( Figure 2c ). Structural alignment with the wildtype protein yielded a C α RMSD 0.36 Å and a TM-score 26 of 0.99 ( Figure 2b ), demonstrating that the overall fold and structure were preserved, despite extensive modification. We were able to confirm that no new stabilising interactions were introduced, and that the backbone conformation, disulfide bond, and salt-bridges remained largely intact, with the only exceptions being due to crystallographic contacts spanning symmetry related monomers (Supplementary Figure 5). CD also revealed that both proteins remain well folded under the reported optimum reaction temperature of Sf Cut (50 °C) ( Figure 2e ). With confidence in the achievement of our structural design goals, we explored the activity of Sf Inv on amorphous PET powder. Sf Inv exhibited an optimum reaction temperature at 50 °C, similar to that of the wildtype enzyme ( Figure 2d ), but demonstrated a higher pH optimum (pH 9) compared to Sf Cut (pH 7.5). This shift to a higher pH optimum aligns with the activity profiles of positively charged PETases, which demonstrate pH optima above pH 8 4 , 27 . We anticipated that the changes in the surface charge between Sf Cut and Sf Inv could lead to substantial differences in their binding affinity to PET. Indeed, despite its relatively high activity, Sf Cut showed no appreciable binding to the amorphous PET powder under tested conditions ( Figure 3b , Supplementary Figure 6). This stands in clear contrast to Sf Inv, which demonstrated a K d of less than 4.5 nM with a surface coverage (Γ max ) of 10-16.5 nmol g -1 PET, consistent with characteristics measured with other highly active PETases 28 . These results confirmed the success of our design efforts, and provided a basis for us to examine the isolated effects of protein charge on PET-degrading activities and morphological preference. Download figure Open in new tab Figure 3. Investigating how ionic strength plays a role in protein-polymer interactions. a Substrate preference for Sf Cut, Sf Inv, and LCC ICCG on a Log 2 scale. Experiments were carried out at the optimum temperature and pH for the individual enzymes at 100 nM, with 100 mM sodium chloride. b Sf Inv has a measurable affinity to PET powders, while Sf Cut interacts too weakly to measure (binding curves and full statistics are detailed in Supplementary Figure 4). c Ionic strength affects the relative activities of Sf Cut and Sf Inv on aFilms in different ways: Sf Cut benefits from the increased ionic strength, whilst Sf Inv, like LCC ICCG , is largely not affected. Plot is shown as relative activity with respect to the activity of each enzyme in buffer without added salt. Lighter dotted lines represent standard deviations calculated with propagated error. The role of surface charge on protein-polymer interactions To explore how their significant difference in protein surface charge manifested in terms of depolymerase activity across PET morphologies, we examined Sf Cut and Sf Inv on three PET substrates: amorphous powder (aPow), amorphous film (aFilm) and semi-crystalline powder (cPow) ( Figure 3a , Supplementary Figure 7). Sf Inv demonstrated higher activity than the wildtype enzyme across all substrates tested, with broader pH and temperature optima, as well as three-fold and six-fold more product release on semi-crystalline powders and amorphous powders respectively. Our results confirmed previous observations that Sf Cut has a considerably lower activity on films compared to powders, independent of substrate crystallinity. In contrast, Sf Inv showed an inverted selectivity: its activity on films was enhanced, approximately 2-fold higher than on powders, demonstrating that enzyme specificity for different substrate morphologies is a genetically encoded, engineerable property. This corresponds to over 200-fold enhancement in the activity on amorphous PET films compared to Sf Cut, effected simply by surface charge inversion. Despite the substantial difference in evident binding affinity to amorphous powders, both enzymes show activity saturation on amorphous films above 250 nM, confirming that binding alone is insufficient to explain their catalytic properties (Supplementary Figure 8). Although not an intended outcome of our design process, Sf Inv demonstrated a similar level of conversion as the most promising industrialised enzyme, LCC ICCG, 10 , at their respective optima ( Figure 3a ). In a direct comparison at 50 °C, Sf Inv outperformed LCC ICCG at laboratory scale (Supplementary Figure 9). Although the greatly enhanced binding affinity observed with Sf Inv can partially explain its higher enzymatic activity, differences in enzymatic morphological preference must be caused by a change in how the differently charged enzymes interact with the polymer. Electrostatic interactions between the polymer surface and the enzymes can be mediated by both unspecific and specific interactions with ions in solution, therefore we assessed the activities of both enzymes at a range of ionic strengths, using both monovalent and divalent salts. The negatively charged wildtype enzyme, Sf Cut, showed a monotonic rise in activity on amorphous films as ionic strength increased from 0 M to 4 M, with a relative activity enhancement of nearly 600-fold ( Figure 3c , & Supplementary Figure 10a). This behaviour contrasts with that of some of the best-performing PETases, such as LCC ICCG , where the depolymerase activity is not affected by the ionic strength of the solution ( Figure 3c & Supplementary Figure 10b). For Sf Inv the effect of ionic strength was less pronounced ( Figure 3c ), with activity peaking at 250 mM ionic strength at approximately five-fold higher than in buffer with 0 M salt, before declining to approximately 7% of its maximal value at 2 M (Supplementary Figure 10a). These results on amorphous films were consistent across different salts (Supplementary Figure 10), indicating that the selectivity observed in Sf Cut and Sf Inv is driven by electrostatic interactions between the enzyme and the polymer surface, rather than by specific interactions mediated by salts. Interestingly, the effect of ionic strength on the enzyme activity was distinct on amorphous powders. Sf Inv showed the same monotonic rise in activity as Sf Cut, although less pronounced (Supplementary Figure 10c), with both enzymes seeing no benefit to activity above an ionic strength of 1 M. Overall, positively charged Sf Inv sees relatively moderate benefits of increased ionic strength, with a greater effect observed on powders than films, whereas Sf Cut shows substantial improvements in activity with salt, benefitting more on films than powders. This demonstrates that the interplay between the electrostatic fields of the polymer and the protein varies between polymer morphologies, influencing the observed selectivity of the two enzymes, with notably more dominant effects on PET film digestions. Despite the benefit of ionic strength on the activity of Sf Cut, it is important to note that the total product released by Sf Cut did not surpass that of Sf Inv at its maximum under the conditions tested. Additionally, while increased salt concentration did have an effect on the apparent T m of Sf Cut, causing an increase of 4 °C at 2 M sodium chloride, no such change was observed for Sf Inv (Supplementary Figure 11). This suggests that some of the activity improvement in Sf Cut with increasing ionic strength may be a result of enhanced thermostability, an effect that is absent in Sf Inv. Sf Inv shows greatly enhanced PET-degrading activity at pilot scale and on post-consumer waste The improved selectivity of Sf Inv towards amorphous PET films under analytical conditions suggested a potential for digesting unmodified amorphous films at pilot scale, pH-controlled experiments. Under these conditions (1 mg enzyme g PET-1 with high solids loading of 20% w/v) 1 , 29 , the wildtype enzyme ( Sf Cut) demonstrates limited activity, achieving less than 1% substrate conversion and a monomeric product yield of 0.15 g/L as measured by HPLC. In contrast, the engineered Sf Inv exhibited significantly higher efficiency, achieving approximately 8% substrate conversion within 24 hours ( Figure 4a ), with a monomer yield of 18.6 g/L. Strikingly, at substantially lower enzyme loading (1 µM, ∼0.15 mg enzyme g PET-1 ), Sf Inv achieved the same high levels of conversion within the same time frame, suggesting there is substantial potential for reaction condition optimisation to maximise the digestion of amorphous PET films while reducing resource requirements (Supplementary Figure 12). Download figure Open in new tab Figure 4. Depolymerisation of PET at pilot scale by Sf Cut and Sf Inv. Enzymes were incubated with 20% (w/v) PET substrate, at an enzyme loading of 1 mg per g of PET. Sf Cut is shown in red, whereas Sf Inv is shown in blue. Figure illustrates depolymerisation overtime of amorphous PET film ( a ) and post-consumer PET waste ( b ). Average trace showed as a solid line, each of the replicates are represented as dotted lines in the corresponding colour. Product release as determined by HPLC shown in each panel. Comparable results were also found to be true on untreated post-consumer waste (PCW) in the form of PET-film sandwich trays ( Figure 4b , Supplementary Table 5, Supplementary Figures 13 and 14). Sf Inv efficiently digested over 10% of the waste within 24 hours, achieving a measured yield of 19.25 g/L, while Sf Cut yielded negligible amounts of product ( Figure 4b ). This further highlights that it may be possible to engineer enzymes specifically targeting the processing of complex post-consumer waste streams of PET with limited pre-treatments, upstream of current methods reliant on resource-intensive preparation of micronized powders. 29 Sf Cut and Sf Inv act synergistically in degrading aPET films Building on the evident enhancement in activity and change in selectivity of Sf Inv over Sf Cut on PET substrates, we sought to understand whether the enzymes act at distinct sites on the PET surfaces with differing geometries or electrostatic charge, which could account for the observed differences in morphological preferences and allow for the enzymes to work synergistically in degrading PET. Specifically, we hypothesised that the amount of product released from a mixture of the two enzymes could exceed the sum of the product release for each enzyme individually at its respective concentration. To quantify this, we define synergy as: where PR Sf Cut , PR Sf Inv , and PR mix are the product released by each enzyme at specified concentrations, and their mixture, respectively. When Sf Cut and Sf Inv were mixed at different concentrations and ratios, and applied to PET films, we observed clear evidence of synergistic activity ( Figure 5a ). The effect is most notable at lower concentrations of Sf Inv, with a synergy value above 2 ( Figure 5c ). However, at elevated concentrations of Sf Inv, the synergistic benefit is lost, possibly owing to surface crowding 17 , 20 or competition for binding sites on the plastic substrate. In contrast, increasing Sf Cut does not eliminate the observed synergy, suggesting that each enzyme plays a distinct role when acting in concert on the film surface. Download figure Open in new tab Figure 5. Investigating the synergy between Sf Cut and Sf Inv on aPET film. a Difference in total product release by pure enzymes and their mixture, at the condition with highest synergy (100 nM:50 nM of Sf Cut to Sf Inv). Pure enzymes are represented as a stacked plot, where red represents Sf Cut and blue Sf Inv. The enzyme mixture is represented as a purple bar. Product release is shown as a Log 2 scale for clarity. Error bars represent 1 SD. b Scanning Electron Microscopy (SEM) images of amorphous PET film after incubation with enzyme. The top two panels show the film after incubation with Sf Cut or Sf Inv individually, whilst the bottom panel shows the film after incubation with the enzyme mix. c Heatmap of the synergy ratios across different concentrations of Sf Cut and Sf Inv, with the purple as productive synergy and yellow as a decrease in total product release. Standard deviation is shown as smaller squares in the same colour scheme. d Total product release for the stepwise synergy, where the pure enzymes were incubated with an amorphous film coupon pre-digested by either Sf Inv (blue) or Sf Cut (red). Error bars represent 1 SD. e Chromatogram from Size Exclusion Chromatography (SEC) for Sf Cut (red), Sf Inv (blue) and a mixed sample of both enzymes at equimolar ratios (purple). To further clarify the mechanism of the synergistic activity, we explored potential causes involving the differing enzyme charges. One possibility was that the enzymes might assemble in solution in a way that enhances their stability and activity. To test this, we incubated the enzymes together at elevated concentrations (∼ 34 µM, compared to the 0.05-1 µM enzyme concentrations used in polymer digestions) and evaluated whether they form complexes by size exclusion chromatography on the mixture ( Figure 5e ); no shift was observed in the elution profile, suggesting that the enzymes do not appreciably bind to each other in solution. To exclude the possibility that the enzymes are targeting different sites on the polymer chain and therefore modifying the plastic surface such that it becomes a better substrate for the oppositely charged enzyme, we examined whether the enzymes showed a stepwise synergy. The activities of the enzymes were evaluated on amorphous PET film coupons that had been pre-treated with either Sf Cut or Sf Inv ( Figure 5d ), with no significant difference in activity observed on films pre-treated with either enzyme, showing that the surface targets for both enzymes are largely the same. Given these findings, and that Sf Cut alone shows negligible binding to PET, it is likely that the synergy observed at principally low concentrations of Sf Inv is a result of charge masking, similar to that of the ionic strength experiments. In this case, Sf Inv binds to the plastic surface masking the negative charges of the polymer and any bound Sf Cut, which in turn allows more Sf Cut to bind productively. Similar effects have been previously observed with the use of synthetic surfactants 30 , where anionic detergents were used to increase the negative surface charge of the polymer, therefore attracting the cationic Is PETase 31 to the surface, accelerating enzymatic degradation. In this case, however, the enzymes themselves are modulating the surface charge. The difference in how the film surface is modified by the enzymes acting individually or as a mixture can be visualised after partial digestion of PET coupons using SEM ( Figure 5b ). Sf Cut increases the roughness of the surface leaving what appears to be thread-like crystalline regions behind, whilst Sf Inv shows broad pitting, a surface modification commonly observed with other highly active PETases 18 , 31 . However, with the enzyme mixture, an unusual double-pitting effect is observed. Broad pits similar in dimensions to those formed by Sf Inv contain deeper pits within them, perhaps from Sf Cut being ‘funnelled’ into the centre of areas where the positively charged Sf Inv masks the negative charge on the surface of the film. As far as we are aware, this is the first time that synergy has been observed in enzymes directly modifying plastic surfaces. These results reveal a previously unexplored mechanism by which enzyme mixtures can enhance the degradation of plastic through beneficial electrostatic interactions, offering new opportunities for improving bio-recycling through synergistic enzymatic activity. Conclusions Prior to this study the most significant changes in the activity of PET degrading enzymes were realised by increasing the performance of the biocatalysts at elevated temperatures, where the polymer is more dynamic. This focus on thermostability has obfuscated how other physical-chemical properties of the polymer surface influence the activity of PETases, limiting our understanding on the enzyme-substrate interactions at play. Here, by rational redesign of the surface of a highly active PETase, Sf Cut, we were able to investigate the impact of electrostatics on enzymatic activity in the absence of confounding factors like thermodynamic stability or changes in features near the active site 13 , 30 , 32 . Through carefully crafted studies on the effects of ionic strength on product released from different substrates, we demonstrate that substrate selectivity is driven by polymer morphologies having distinct electrostatic profiles, and therefore influencing enzyme-surface interactions in contrasting manners. Measured zeta potentials are known to have smaller magnitudes on rough surfaces than on smooth surfaces 33 , 34 , and the impacts of this are likely manifesting here. Within the diffuse layer around the neatively charged polymer surface, the anionic Sf Cut experiences repulsion while the cationic Sf Inv experiences attraction, with these interactions being more pronounced on smooth films than on rough powders. By focusing on electrostatic interactions governing the activity of PET degrading enzymes at the polymer surface, we demonstrated that it is possible to not only tune the selectivity of PETases for substrates of differing morphologies, but also increase their binding affinity through the rational engineering of surface charge away from the active site. The process of introducing large scale changes in protein surface electrostatic potential in Sf Inv also afforded substantially improved activities on all PET substrates tested, exposing the benefits of using an electrostatically-oriented approach to engineering plastic depolymerases for improved activities at the low salt concentrations relevant for industrial processes. As we demonstrate through the preservation of the thermodynamic stability of Sf Inv, this approach is complementary to established methods designed to enhance the thermostability of enzymes and can be introduced in the engineering process towards better industrial PET depolymerases. We also found that synergistic activity between PETases can be realised through the applications of complementarily charged proteins. While the enhancement in activity we observed on films is relatively modest, just over two-fold, this advance is the first method for building synergy into enzymes acting at plastic surfaces and opens the door to engineering campaigns specifically tailored towards improving it. In contrast to synergies between enzyme pairs acting at different chemical sites on a substrate, the mechanism of synergy in this case appears to depend upon the electrostatic masking effect of the positively charged Sf Inv when bound to PET, which in turn promotes the activity of the negatively charged Sf Cut. This mechanism is likely generalisable and opens the possibility of exploiting this discovery to reduce the enzyme loading needed for industrial processes or to create dynamic mixtures of enzymes capable of accommodating variations in surface electrostatics across substrates or over the course of depolymerisations. Through isolating the effect of electrostatics on Sf Cut’s activity on PET, we have been able to establish an engineering approach that allows tuning of binding affinity, improvement of enzymatic turnover, control of substrate morphological preference, and introduction of functional synergy in PETases. These insights not only expand the repertoire of established features under the control of rational protein design for plastic depolymerases, but are also likely not limited to PET. As such, we expect these results to be translatable to enzymes capable of digesting a broad range of synthetic polymers, and that the considerations established here will prove crucial when finding and engineering enzymes to tackle plastics found in complex industrial and post-consumer waste streams. Materials and Methods Amorphous PET film (ES30-FM-000145) and semi-crystalline PET powder (ES30-PD-006031) were purchased from Goodfellow. Post-consumer plastic waste was obtained from PET sandwich packaging. All reagents for molecular biology and strains were purchased from New England Biolabs. All other reagents and buffer components were acquired from Fisher Scientific or Merck, unless stated otherwise. Phylogenetic and sequence analysis Protein sequences of reported PETases were aligned using ClustalOmega 35 with default settings. A phylogenetic tree was built from the sequence alignment using IQtree 36 with 100,000 UltraFast bootstraps 37 , nearest neighbour interchange (NNI) search, automatic model selection 38 , and 100,000 cycles of single branch testing (SH-aLRT) 39 . Sequence identities were found using protein BLAST 40 with default settings. The position specific scoring matrix was calculated in POSSUM 41 using Uniref50 as the database, with 3 iterations and an E-value threshold of 0.001. Manual surface redesign The surface redesign was done manually using the crystal structure of Sf Cut (611, PDB: 7QJP). All charged residues with crystallographic densities were identified, including histidines involved in salt bridges or catalytic contacts; those that were not interacting were counted as non-charged. Redesign focused on charged surface residues more than 10 Å away from the active site not involved in any polar or evident structural contacts, when these were exhausted mutations within larger salt-bridges and to uninvolved surface neutral residues were considered. No mutations were added to purposefully increase or impair enzymatic stability and activity. The overall charge was changed from -16 to +16, by mutating negatively charged as well as neutral surface residues mostly not involved in stabilisation of the protein structure by visual inspection. The final Sf Inv sequence was modelled using ColabFold/AlphaFold2 23 , 24 and ESMFold 25 to confirm that no disruption to the protein structure by the design was predicted. Plasmid construction Genes for Sf Cut and Sf Inv were synthesised by Twist Bioscience. Sf Cut was cloned by Twist directly into pET21b(+), Sf Inv was synthesised as a gene fragment and cloned into pET28b(+) using Gibson assembly. The assembly mixture was transformed into NEB5α competent cells, DNA purified (Qiagen miniprep kit), and sequence confirmed by Sanger sequencing (Eurofins Genomics). Both constructs include a C-terminal His-tag, and were sequence optimised for Escherichia coli . Protein expression and purification Proteins were expressed using BL21(DE3) E. coli strain. Cells were grown in terrific broth with the selection antibiotic at 37 °C, in 4.5 L cultures in bioreactors (Eppendorf BioFlo 120w) with pH and air flow control (Biocommand Bioprocessing Software). Protein expression was induced at an OD 600 of 1.2 for 18 hours at 20 °C, using a final concentration of 1 mM IPTG. Harvested cells were resuspended in HisTrap binding buffer (20 mM Tris-HCl pH 8.0, 300 mM sodium chloride, 40 mM imidazole) with nuclease (expressed in house) and 25mM of magnesium added. The resuspended cells were then homogenised, sonicated (Amplitude 40, 3 sec ON, 9 sec OFF for a total processing time of 6-10mins), and clarified by centrifugation at 55,000 x g. Clarified lysate was filtered through a 0.45 µm MCE filter and purified by affinity chromatography on a HisTrap FF (5 mL) column, eluted over a gradient up to 500 mM imidazole. The protein peak was further purified by size exclusion chromatography using a Superdex 16/600 HiLoad 75pg equilibrated with 50 mM sodium phosphate pH 7.5, and 100 mM sodium chloride. SDS-PAGE was run to assess purity. Differential scanning calorimetry Apparent melting temperature (T m ) values for the purified proteins were determined using a MicroCal PEAQ-DSC with automated sampler (Malvern Panalytical), using a buffer matched to that of the size exclusion chromatography step as reference. The analyses were performed using 1 mg/mL of protein, at a temperature range of 30-100 °C, using low feedback, at 192 °C/hour, 96 °C/hour, 90 °C/hour, 48 °C/hour, 24 °C/hour, 12 °C/hour and 6 °C/hour. Baseline subtraction was performed using the instrument’s data analysis software. Calfitter 2.0 42 was used to derive the activation energy (E act ), the heat capacity change (ΔC p ), the activation enthalpy change (ΔH‡), and the reference temperature of the irreversible melting step (T act ) using the thermal denaturation model with the lowest SSR value. Structure determination by X-ray crystallography Sf Inv was concentrated to 10 mg/mL and crystallised by the sitting drop vapour diffusion method using a Mosquito crystallisation robot (SPT Labtech) and SWISSCI 3-lens low profile plates in condition C8 of the SaltRx screen (Hampton Research): 0.1 M Tris pH 8.5 and 3.5 M sodium formate. Crystals were cryo-protected with 20% glycerol before flash-freezing in liquid nitrogen. Diffraction data were collected at the Diamond Light Source (Didcot, UK) at beamline I03 and automatically processed with the AutoPROC+STARANISO 43 , 44 pipeline on ISPyB. The structure was solved by molecular replacement on CCP4 Cloud using Molrep 45 and an AlphaFold2-model 23 . Coot was used for model building, followed by model refinement using Refmac 46 . The final structure was evaluated with MolProbity 47 , and the structure has been visualised in VMD 48 and ChimeraX 49 . The structure was deposited in the PDB with code 9EWR. Data and refinement statistics can be found in Supplementary Table 4. Structural characterisation by circular dichroism Spectra were collected on a PiStar-180 (Applied Photophysics) with water bath temperature control. Protein samples were analysed at a concentration of 0.1 mg/mL in 10 mM sodium phosphate pH 7.5 with 20 mM sodium chloride at 50 °C, in a 1 mm stoppered quartz cuvette. Data collected at wavelengths between 200 and 260 nm, with half bandwidth of 1.5 nm and a wavelength interval of 0.5 nm (1 sec per point, 5 repeats), were averaged and baseline subtracted using a matched buffer blank. Raw ellipticity data was converted to mean residue ellipticity by dividing by the path length, concentration, molecular weight and number of residues. Amorphous PET powder production and analysis Sheets of amorphous PET film were cut into strips, immersed in liquid nitrogen and cryo-milled at 2,400 rpm in a SM300 cutting mill (Retsch), with a bottom sieve with 4 mm square holes. Subsequently, this product was reduced in size further by immersing in liquid nitrogen and cryo-milling at 18,000 rpm in a ZM200 centrifugal mill, with a 0.12 mm ring sieve with trapezoidal holes. The particle size and crystallinity of the cryo-milled amorphous PET powder was compared to that of the purchased semi-crystalline PET powder, as well as the PET film, using a CAMSIZER X2 (Microtrac MRB) and Differential Scanning Calorimetry (Supplementary Table 5, Supplementary Figures 13 and 15). Reaction quenching and product quantification by HPLC All reactions were quenched by addition of equal volume of HPLC-grade methanol, and PET solids removed. Samples were centrifuged at 10,000 x g, using a table-top centrifuge, prior to analyte quantification by HPLC. For samples with subsequent polymer analysis, the PET was washed by rinsing three times with a 1% (w/v) SDS solution, followed by multiple rinses with distilled water. The partially digested polymer substrates were then dried at room temperature under vacuum before analysis. The HPLC analysis was adapted from a reported UPLC method 14 to allow for HPLC pressures as previously described 50 . Samples were evaluated on a pre-equilibrated C18 Kinetex LC column (00B-4605-AN) with a guard, at 1.1 mL min -1 with 0.1% formic acid and acetonitrile as the stationary and mobile phases respectively. Samples were prepared with a known dilution to an absorbance at 240 nm of around 1.0 before 10 µL were loaded onto the column using an automatic sampler (Agilent). Samples were eluted with an isocratic elution at 13% mobile phase for 0.87 minutes, followed by a step to 95% mobile phase for 1.12 minutes and a re-equilibration at 13% mobile phase until a total time of 3.6 minutes. Peaks were integrated using Agilent’s OpenLab software and the product quantification was performed against calibration curves of known standards (TPA, MHET, BHET). An example of the HPLC trace and elution times is provided in Supplementary Figure 16. PET degradation assays at small scale Unless stated otherwise, small scale assays were set up in 1.5 mL tubes with 11 mg of PET substrate, and incubated in triplicate 500 µL reactions for 24 hours at 300 rpm on thermomixers. A final concentration of 100 nM enzyme and 100 mM sodium chloride was used, in 50 mM sodium phosphate pH 7.5, or 50 mM glycine pH 9.0 for Sf Cut and Sf Inv respectively. In the case of the ionic strength tests 50 mM HEPES pH 7.5 and 50 mM CHES pH 9.0 were used instead, with varying amounts of sodium chloride, magnesium chloride and sodium sulphate. These buffers were chosen in order to minimise their contribution towards the ionic strength. Nevertheless, the buffer component was fully accounted for in the ionic strength calculations by considering their pKas, and calculating the concentration and charges of their respective ionic species. The ionic strength of the solution was calculated by using the formula I = ½ n ∑ i ( C i Z i ), where I represents the ionic strength, n is the number of ions in solution, C i is the concentration of a specific ion in moles per litre, and Z i the valence of the particular ion species. For the temperature and pH optima experiments, the reactions were performed at three temperatures (40 °C, 50 °C and 60 °C) and using three different buffers (50 mM MES pH 6.0, 50 mM sodium phosphate pH 7.5, and 50 mM glycine pH 9.0) with 100 mM sodium chloride. To determine the concentration dependency for each of the enzymes, both were tested individually, and together at equimolar ratios, to a final enzyme concentration ranging from 0 - 1 µM. Binding isotherms Binding affinities to the plastic were measure in two ways as described previously 28 . All samples were incubated for 1 hour at 4 °C with rolling in low-binding 1.5 mL microcentrifuge tubes (Eppendorf) to prevent loss from non-specific binding. After centrifugation, free enzyme concentrations were determined using a Micro BCA protein assay kit (Thermo Scientific) with a calibration curve derived for the respective enzyme. 150 µL samples were mixed with the Micro BCA Working Reagent as per the kit’s instructions, and incubated for 1 hour at 50 °C in a covered microtiter plate mixing at 300 rpm. 200 µL samples were measured at 562 nm on a plate reader. Substrate saturation: Amorphous PET powder at a fixed substrate loading (100 g/L for Sf Cut or 50 g/L for Sf Inv) was incubated with 0.05 - 1.5 µM enzyme. The substrate coverage was calculated using the equation , and the K d obtained by fitting the data to the Langmuir adsorption isotherm equation , where Γmax is the substrate coverage at surface saturation. Enzyme saturation: 1 µM enzyme was incubated with substrate loads ranging from 0 – 200 g/L. The bound fraction was calculated from the difference between total and free enzyme concentrations. K d and Γ max were derived from fitting the data to the equation 28 , where the fraction bound , and L PET is the experimental solids loading. PET degradation assays – pilot scale and post-consumer waste Duplicate reactions were undertaken in 250mL MiniBio Reactors (Applikon Biotechnology) to a total reaction volume of 100 mL. Reactions were carried out at 20% (w/v) solids loading and a final enzyme concentration of 1 mg of enzyme per gram of PET. Reactions were incubated at 50 °C, stirring at 200 rpm for 24 hours. Substrates used in the reactions were amorphous PET film or washed and dried post-consumer plastic film waste, roughly cut into 1 cm x 1 cm squares. All pH probes were calibrated immediately prior to analysis, pH changes were followed and maintained by the automatic addition of 1 M ( Sf Cut) or 5 M ( Sf Inv) freshly prepared sodium hydroxide via the system pump, which was calibrated prior to the experiment. The base addition was followed as a function of time by the Lucullus ® Process Information Management System software and converted to percentage hydrolysis by calculating the moles of TPA neutralised. At the end of the incubation, samples were taken and quenched as described previously using an equal volume of methanol for HPLC analysis. The PET film was recovered by filtration, rinsed thoroughly with deionised water, and allowed to dry before weighing to confirm depolymerisation extent. Polymer analysis and characterization Polymer DSC was performed on a Netzsch DSC 214 Polyma, equipped with aluminium crucibles and lids. Approximately 10 mg of samples was heated from 25 to 300 °C at a rate of 10 °C per minute in a nitrogen atmosphere. Measurements were performed in triplicate, and sample crystallinity was calculated using the equation , where ΔH m is the enthalpy of melting of the sample ΔH c is the enthalpy of crystallisation of the sample and ΔH m ° is the enthalpy of melting for a theoretical 100 % crystalline sample (taken as 140.1 Jg -1 ). PET degradation assays for investigating synergy To quantitate synergy across enzyme concentrations and ratios, amorphous PET coupons were incubated in 50 mM sodium phosphate pH 7.5, 100 mM sodium chloride, for 24 hours, with various enzyme ratios and concentrations ranging from 0 – 200 nM, as per Figure 5 . To investigate whether the synergy was caused by opposite charge effects between the enzymes, size exclusion chromatography was performed with 1 mg of total enzyme (∼ 34 µM) on its own or at equimolar ratio using a Superdex 75 equilibrated with 50 mM sodium phosphate pH 7.5, and 100 mM sodium chloride. For the stepwise synergy studies, a final concentration of 100 nM enzyme was used. Films were pre-treated with the selected enzyme for 24 hours, reactions quenched and the coupons washed and dried as described above. Coupons were then incubated a further 24 hours with the second selected enzyme before the reactions were quenched one final time prior to product analysis by HPLC. Scanning electron microscopy Samples were incubated with 100 nM of the respective enzyme for 24 hours as described above in PET degradation assays for investigating synergy. For the mixed enzyme samples, a total of 200 nM enzyme at an equimolar ratio was used instead. Samples were quenched, washed and dried as described above before analysis by SEM. PET film samples were mounted onto aluminium stubs using carbon adhesive tabs, and sputter coated with Au/Pd under argon using a Quorum Q150RES (Quorum Technologies Ltd). Samples were imaged using a MIRA3 FEG-SEM Microscope (TESCAN) operated at 3 kV. Author contributions BRL conceptualised and supervised the project. The manuscript was written by LO and BRL, and reviewed by all authors. VB collected polymer DSC data. Enzymes were expressed by EMR. KRG collected crystals for structure determination of Sf Inv, and MZ solved the crystal structure. All other data was collected, processed and analysed by LO. ARP and BRL acquired funding. Acknowledgements The authors thank Research England [E3 funding to ARP], the Royal Society [Grant RGS\R2\212336 to BRL], and the UKRI Engineering Biology Mission Hub [Grant BB/Y007972/1 to ARP, BRL and VB]. We thank Diamond Light source for beamtime [PROPOSAL MX-31440], and the staff at beamline I03 for supporting automatic data collection. We thank the Electron Microscopy and Microanalysis Unit at the University of Portsmouth, and in particular Ben Trundle, for assisting with SEM data collection. LO and BRL also thank Prof. Birte Höcker and Prof. Samuel Robson for fruitful discussions and feedback. References 1. ↵ Singh , A. et al. Techno-economic, life-cycle, and socioeconomic impact analysis of enzymatic recycling of poly(ethylene terephthalate) . Joule 5 , 2479 – 2503 ( 2021 ). OpenUrl CrossRef 2. ↵ Gamerith , C. et al. Enzymatic recovery of polyester building blocks from polymer blends . Process Biochem . 59 , 58 – 64 ( 2017 ). OpenUrl CrossRef 3. ↵ Carniel , A. et al. From trash to cash: current strategies for bio-upcycling of recaptured monomeric building blocks from poly(ethylene terephthalate) (PET) waste . Green Chem . 26 , 5708 – 5743 ( 2024 ). OpenUrl CrossRef 4. ↵ Erickson , E. et al. Sourcing thermotolerant poly(ethylene terephthalate) hydrolase scaffolds from natural diversity . Nat. Commun . 13 , 7850 ( 2022 ). OpenUrl CrossRef PubMed 5. Austin , H. P. et al. Characterization and engineering of a plastic-degrading aromatic polyesterase . Proc. Natl. Acad. Sci . 115 , ( 2018 ). 6. Cui , Y. et al. Computational Redesign of a PETase for Plastic Biodegradation under Ambient Condition by the GRAPE Strategy . ACS Catal . 11 , 1340 – 1350 ( 2021 ). OpenUrl CrossRef 7. Tournier , V. et al. Enzymes’ Power for Plastics Degradation . Chem. Rev . 123 , 5612 – 5701 ( 2023 ). OpenUrl CrossRef PubMed 8. ↵ Richter , P. K. et al. Structure and function of the metagenomic plastic-degrading polyester hydrolase PHL7 bound to its product . Nat. Commun . 14 , 1905 ( 2023 ). OpenUrl CrossRef PubMed 9. ↵ Gao , S. et al. β-sheet Engineering of IsPETase for PET Depolymerization . Engineering ( 2024 ) doi: 10.1016/j.eng.2024.10.015 . OpenUrl CrossRef 10. ↵ Tournier , V. et al. An engineered PET depolymerase to break down and recycle plastic bottles . Nature 580 , 216 – 219 ( 2020 ). OpenUrl CrossRef PubMed 11. Shi , L. et al. Complete Depolymerization of PET Wastes by an Evolved PET Hydrolase from Directed Evolution . Angew. Chem. Int . Ed. 62 , e202218390 ( 2023 ). OpenUrl CrossRef 12. Son , H. F. et al. Rational Protein Engineering of Thermo-Stable PETase from Ideonella sakaiensis for Highly Efficient PET Degradation . ACS Catal . 9 , 3519 – 3526 ( 2019 ). OpenUrl CrossRef 13. ↵ Nakamura , A. , Kobayashi , N. , Koga , N. & Iino , R. Positive Charge Introduction on the Surface of Thermostabilized PET Hydrolase Facilitates PET Binding and Degradation . ACS Catal . 11 , 8550 – 8564 ( 2021 ). OpenUrl CrossRef 14. ↵ Bell , E. L. et al. Directed evolution of an efficient and thermostable PET depolymerase . Nat. Catal . 5 , 673 – 681 ( 2022 ). OpenUrl CrossRef 15. ↵ Erickson , E. et al. Comparative Performance of PETase as a Function of Reaction Conditions, Substrate Properties, and Product Accumulation . ChemSusChem 15 , e202102517 ( 2022 ). OpenUrl CrossRef PubMed 16. Bååth , J. A. , Borch , K. , Jensen , K. , Brask , J. & Westh , P. Comparative Biochemistry of Four Polyester (PET) Hydrolases** . ChemBioChem 22 , 1627 – 1637 ( 2021 ). OpenUrl CrossRef PubMed 17. ↵ Avilan , L. et al. Concentration-Dependent Inhibition of Mesophilic PETases on Poly(ethylene terephthalate) Can Be Eliminated by Enzyme Engineering . ChemSusChem 16 , e202202277 ( 2023 ). OpenUrl CrossRef PubMed 18. ↵ Thomsen , T. B. , Hunt , C. J. & Meyer , A. S. Influence of substrate crystallinity and glass transition temperature on enzymatic degradation of polyethylene terephthalate (PET) . New Biotechnol . 69 , 28 – 35 ( 2022 ). OpenUrl CrossRef 19. ↵ Tanaka , M. , Ikesaka , M. , Matsuno , R. & Converse , A. O. Effect of pore size in substrate and diffusion of enzyme on hydrolysis of cellulosic materials with cellulases . Biotechnol. Bioeng . 32 , 698 – 706 ( 1988 ). OpenUrl CrossRef PubMed 20. ↵ Zhong-Johnson , E. Z. L. et al. Analysis of Poly(ethylene terephthalate) degradation kinetics of evolved IsPETase variants using a surface crowding model . J. Biol. Chem . 300 , ( 2024 ). 21. ↵ Arnling Bååth , J. , Jensen , K. , Borch , K. , Westh , P. & Kari , J. Sabatier Principle for Rationalizing Enzymatic Hydrolysis of a Synthetic Polyester . JACS Au 2 , 1223 – 1231 ( 2022 ). OpenUrl CrossRef PubMed 22. ↵ Pascoe , M. J. , Mandal , S. , Williams , O. A. & Maillard , J.-Y. Impact of material properties in determining quaternary ammonium compound adsorption and wipe product efficacy against biofilms . J. Hosp. Infect . 126 , 37 – 43 ( 2022 ). OpenUrl CrossRef PubMed 23. ↵ Jumper , J. et al. Highly accurate protein structure prediction with AlphaFold . Nature 596 , 583 – 589 ( 2021 ). OpenUrl CrossRef PubMed 24. ↵ Mirdita , M. et al. ColabFold: making protein folding accessible to all . Nat. Methods 19 , 679 – 682 ( 2022 ). OpenUrl CrossRef PubMed 25. ↵ Lin , Z. et al. Evolutionary-scale prediction of atomic-level protein structure with a language model . Science 379 , 1123 – 1130 ( 2023 ). OpenUrl CrossRef PubMed 26. ↵ Zhang , Y. & Skolnick , J. Scoring function for automated assessment of protein structure template quality . Proteins Struct. Funct. Bioinforma . 57 , 702 – 710 ( 2004 ). OpenUrl CrossRef 27. ↵ Arnal , G. et al. Assessment of Four Engineered PET Degrading Enzymes Considering Large-Scale Industrial Applications . ACS Catal . 13 , 13156 – 13166 ( 2023 ). OpenUrl CrossRef PubMed 28. ↵ Badino , S. F. , Bååth , J. A. , Borch , K. , Jensen , K. & Westh , P. Adsorption of enzymes with hydrolytic activity on polyethylene terephthalate . Enzyme Microb. Technol . 152 , 109937 ( 2021 ). OpenUrl CrossRef 29. ↵ Uekert , T. et al. Life cycle assessment of enzymatic poly(ethylene terephthalate) recycling . Green Chem . 24 , 6531 – 6543 ( 2022 ). OpenUrl CrossRef 30. ↵ Furukawa , M. , Kawakami , N. , Oda , K. & Miyamoto , K. Acceleration of Enzymatic Degradation of Poly(ethylene terephthalate) by Surface Coating with Anionic Surfactants . ChemSusChem 11 , 4018 – 4025 ( 2018 ). OpenUrl CrossRef PubMed 31. ↵ Yoshida , S. et al. A bacterium that degrades and assimilates poly(ethylene terephthalate) . Science 351 , 1196 – 1199 ( 2016 ). OpenUrl Abstract / FREE Full Text 32. ↵ Ding , K. et al. Modulation of PETase active site flexibility and activity on morphologically distinct polyethylene terephthalate substrates by surface charge engineering . Biochem. Eng. J . 209 , 109420 ( 2024 ). OpenUrl CrossRef 33. ↵ Chow , R. S. & Takamura , K. Effects of surface roughness (hairiness) of latex particles on their electrokinetic potentials . J. Colloid Interface Sci . 125 , 226 – 236 ( 1988 ). OpenUrl CrossRef 34. ↵ Duval , J. F. L. , Leermakers , F. A. M. & van Leeuwen , H. P. Electrostatic Interactions between Double Layers: Influence of Surface Roughness, Regulation, and Chemical Heterogeneities . Langmuir 20 , 5052 – 5065 ( 2004 ). OpenUrl CrossRef PubMed 35. ↵ Madeira , F. et al. The EMBL-EBI Job Dispatcher sequence analysis tools framework in 2024 . Nucleic Acids Res . 52 , W521 – W525 ( 2024 ). OpenUrl CrossRef PubMed 36. ↵ Nguyen , L.-T. , Schmidt , H. A. , von Haeseler , A. & Minh , B. Q. IQ-TREE: A Fast and Effective Stochastic Algorithm for Estimating Maximum-Likelihood Phylogenies . Mol. Biol. Evol . 32 , 268 – 274 ( 2015 ). OpenUrl CrossRef PubMed 37. ↵ Hoang , D. T. , Chernomor , O. , von Haeseler , A. , Minh , B. Q. & Vinh , L. S. UFBoot2: Improving the Ultrafast Bootstrap Approximation . Mol. Biol. Evol . 35 , 518 – 522 ( 2018 ). OpenUrl CrossRef PubMed 38. ↵ Kalyaanamoorthy , S. , Minh , B. Q. , Wong , T. K. F. , von Haeseler , A. & Jermiin , L. S. ModelFinder: fast model selection for accurate phylogenetic estimates . Nat. Methods 14 , 587 – 589 ( 2017 ). OpenUrl CrossRef PubMed 39. ↵ Anisimova , M. , Gil , M. , Dufayard , J.-F. , Dessimoz , C. & Gascuel , O. Survey of Branch Support Methods Demonstrates Accuracy, Power, and Robustness of Fast Likelihood-based Approximation Schemes . Syst. Biol . 60 , 685 – 699 ( 2011 ). OpenUrl CrossRef PubMed 40. ↵ Altschul , S. F. , Gish , W. , Miller , W. , Myers , E. W. & Lipman , D. J. Basic local alignment search tool . J. Mol. Biol . 215 , 403 – 410 ( 1990 ). OpenUrl CrossRef PubMed Web of Science 41. ↵ Wang , J. et al. POSSUM: a bioinformatics toolkit for generating numerical sequence feature descriptors based on PSSM profiles . Bioinforma. Oxf. Engl . 33 , 2756 – 2758 ( 2017 ). OpenUrl 42. ↵ Kunka , A. et al. CalFitter 2.0: Leveraging the power of singular value decomposition to analyse protein thermostability . Nucleic Acids Res . 50 , W145 – W151 ( 2022 ). OpenUrl CrossRef PubMed 43. ↵ Vonrhein , C. et al. Data processing and analysis with the autoPROC toolbox . Acta Crystallogr. D Biol. Crystallogr . 67 , 293 – 302 ( 2011 ). OpenUrl CrossRef PubMed Web of Science 44. ↵ Tickle , I. J. et al. STARANISO . Global Phasing Ltd ( 2016 ). 45. ↵ Vagin , A. & Teplyakov , A. MOLREP: an Automated Program for Molecular Replacement . J. Appl. Crystallogr . 30 , 1022 – 1025 ( 1997 ). OpenUrl CrossRef PubMed Web of Science 46. ↵ Murshudov , G. N. et al. REFMAC5 for the refinement of macromolecular crystal structures . Acta Crystallogr. D Biol. Crystallogr . 67 , 355 – 367 ( 2011 ). OpenUrl CrossRef PubMed Web of Science 47. ↵ Williams , C. J. et al. MolProbity: More and better reference data for improved all-atom structure validation . Protein Sci . 27 , 293 – 315 ( 2018 ). OpenUrl CrossRef PubMed 48. ↵ William Humphrey , Dalke , A. & Schulten , K. VMD: Visual molecular dynamics . J. Mol. Graph . 14 , 33 – 38 ( 1996 ). OpenUrl CrossRef PubMed Web of Science 49. ↵ Pettersen , E. F. et al. UCSF ChimeraX: Structure visualization for researchers, educators, and developers . Protein Sci . 30 , 70 – 82 ( 2021 ). OpenUrl CrossRef PubMed 50. ↵ Oliveira , L. et al. Investigating the effect of fusion partners on the enzymatic activity and thermodynamic stability of poly(ethylene terephthalate) degrading enzymes . Faraday Discuss . 252 , 468 – 479 ( 2024 ). OpenUrl CrossRef PubMed 51. ↵ Jurrus , E. et al. Improvements to the APBS biomolecular solvation software suite . Protein Sci . 27 , 112 – 128 ( 2018 ). OpenUrl CrossRef PubMed View the discussion thread. Back to top Previous Next Posted January 06, 2025. Download PDF Supplementary Material Email Thank you for your interest in spreading the word about bioRxiv. NOTE: Your email address is requested solely to identify you as the sender of this article. Your Email * Your Name * Send To * Enter multiple addresses on separate lines or separate them with commas. 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