Encounter-state over-anchoring governs productive PETase binding on PET surfaces

preprint OA: closed
Full text JSON View at publisher

Abstract

Polyethylene terephthalate (PET) hydrolysis by Ideonella sakaiensis PETase (IsPETase) begins at a heterogeneous solid–liquid interface, yet the molecular basis of productive surface recognition remains poorly resolved. Here, we combined a Martini 3 coarse-grained PET model with GōMartini protein dynamics to investigate IsPETase binding to an extended PET surface. A four-state kinetic model, comprising unbound, encounter, docked, and pre-catalytic states, shows that productive binding is not limited by adsorption itself, but by a post-adsorption re-registration step that converts surface-bound encounter complexes into productively aligned configurations. The simulations reveal a stage-dependent role of conformational flexibility: flexible surface loops facilitate early capture, whereas excessive flexibility promotes misregistered hydrophobic contacts, over-stabilizes non-productive encounter states, and lowers the overall probability of productive commitment. Analysis of productive trajectories further identifies three microscopic reorientation modes by which the enzyme reaches the pre-catalytic state after adsorption. Comparative simulations of engineered PETase variants uncover a flexibility-driven speed–yield trade-off, in which increased flexibility accelerates successful binding events but reduces productive yield through encounter-state over-anchoring. Guided by this mechanism, we formulated a landscape-based design strategy that either weakens encounter-specific anchors or reinforces product-like contacts, leading to mutations that improve productive-binding yield. These results identify post-adsorption alignment as the key kinetic bottleneck in PETase surface recognition and provide a mechanistic framework for designing enzymes that operate at heterogeneous polymer interfaces.
Full text 1,901 characters · extracted from oa-doi-fallback · click to expand
Abstract Polyethylene terephthalate (PET) hydrolysis by Ideonella sakaiensis PETase (IsPETase) begins at a heterogeneous solid–liquid interface, yet the molecular basis of productive surface recognition remains poorly resolved. Here, we combined a Martini 3 coarse-grained PET model with GōMartini protein dynamics to investigate IsPETase binding to an extended PET surface. A four-state kinetic model, comprising unbound, encounter, docked, and pre-catalytic states, shows that productive binding is not limited by adsorption itself, but by a post-adsorption re-registration step that converts surface-bound encounter complexes into productively aligned configurations. The simulations reveal a stage-dependent role of conformational flexibility: flexible surface loops facilitate early capture, whereas excessive flexibility promotes misregistered hydrophobic contacts, over-stabilizes non-productive encounter states, and lowers the overall probability of productive commitment. Analysis of productive trajectories further identifies three microscopic reorientation modes by which the enzyme reaches the pre-catalytic state after adsorption. Comparative simulations of engineered PETase variants uncover a flexibility-driven speed–yield trade-off, in which increased flexibility accelerates successful binding events but reduces productive yield through encounter-state over-anchoring. Guided by this mechanism, we formulated a landscape-based design strategy that either weakens encounter-specific anchors or reinforces product-like contacts, leading to mutations that improve productive-binding yield. These results identify post-adsorption alignment as the key kinetic bottleneck in PETase surface recognition and provide a mechanistic framework for designing enzymes that operate at heterogeneous polymer interfaces. Competing Interest Statement The authors have declared no competing interest.

Text is read by the "Ask this paper" AI Q&A widget below. Extraction quality varies by source — PMC NXML preserves structure cleanly, OA-HTML may include some navigation residue, and OA-PDF can have broken hyphenation. The publisher copy (via DOI) is the canonical version.

My notes (saved in your browser only)

Ask this paper AI returns verbatim quotes from the full text · source: oa-doi-fallback

Answers must be backed by verbatim quotes from this paper's full text. Hallucinated quotes are dropped automatically; if no verbatim passage answers the question, we say so. How this works

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. This is a recent paper (2026) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.

Source provenance

europepmc
last seen: 2026-05-20T01:45:00.602351+00:00