In Silico Identification of Spironolactone as a Walker B Associated Candidate in the NLRP3 NACHT ATPase Domain | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (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],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article In Silico Identification of Spironolactone as a Walker B Associated Candidate in the NLRP3 NACHT ATPase Domain Mishel Abdullah, Jayadevan K, Amalkrishnan Therayil, Alhan Faiza This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-9318173/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract The NLRP3 inflammasome is a cytosolic complex whose activation depends on ATP binding and hydrolysis within the central NACHT domain. MCC950 (CRID3) targets this ATPase region and engages residues proximal to the Walker B motif, providing a structural benchmark for inhibitor discovery. Here, we performed molecular docking based virtual screening of 100 FDA-approved small molecules against the NLRP3 NACHT ATP-binding cavity using the cryo-EM structure of NLRP3 bound to CRID3 (PDB ID: 7PZC). Redocking of MCC950 yielded a best binding energy of −9.79 kcal/mol and reproduced localization within the Walker B–associated sub-pocket, including a predicted hydrogen bond with Asp274 and a buried surface area of 455.68 Ų. Top-ranked compounds exhibited predicted binding energies between −10.7 and −9.6 kcal/mol; however, spatial analysis showed that several localized outside the MCC950-associated site. Incorporation of centroid deviation, buried surface area, and proximity to Asp274 enabled prioritization of structurally aligned candidates. Spironolactone demonstrated the closest alignment to MCC950, with a docking score of −9.99 kcal/mol, centroid deviation of 1.35 Å, comparable burial (460.35 Ų), and predicted interaction with Asp274. These results identify Spironolactone as a structurally aligned NACHT-binding candidate warranting experimental validation. General Biochemistry Pharmacodynamics Computational Biology NLRP3 inflammasome NACHT domain ATPase inhibition Walker B motif Spironolactone MCC950 (CRID3) Figures Figure 1 Figure 2 Introduction The NLRP3 inflammasome is a cytosolic multiprotein complex that mediates caspase-1 activation and the maturation of interleukin-1β (IL-1β) and interleukin-18 (IL-18). Aberrant NLRP3 activation contributes to inflammatory and metabolic disorders including cryopyrin-associated periodic syndromes (CAPS), gout, type 2 diabetes, and neuroinflammatory diseases ( 1 ). The central NACHT domain of NLRP3 functions as an ATPase that drives inflammasome assembly and contains conserved Walker A and Walker B motifs required for nucleotide binding and hydrolysis ( 2 ), making the ATP-binding pocket a mechanistically relevant therapeutic target. MCC950 (CRID3) is a potent and selective NLRP3 inhibitor that directly targets the NACHT domain and suppresses ATP hydrolysis, with evidence supporting engagement near the Walker B motif ( 3 , 4 ). Structural studies have provided a framework for understanding inhibitor interactions within this ATPase region ( 2 ). However, MCC950 has not advanced clinically, underscoring the need to identify alternative compounds capable of targeting the same functional sub-pocket. Here, we applied structure-based virtual screening of FDA-approved small molecules against the NLRP3 NACHT ATP-binding cavity using MCC950 as a structural benchmark. Compounds were prioritized based on predicted binding energy and structural alignment with the Walker B–associated sub-pocket. This strategy provides a hypothesis-generating approach for identifying repurposable candidates targeting the NLRP3 ATPase domain. Methods Protein Structure Preparation The cryo-electron microscopy structure of the human NLRP3 decamer in complex with the inhibitor CRID3 (MCC950) (PDB ID: 7PZC) was obtained from the Protein Data Bank ( 5 ). A single NACHT-containing protomer was extracted from the decameric assembly for docking analysis to avoid inter-chain steric interference. The co-resolved CRID3 molecule, water molecules, and non-protein heteroatoms were removed prior to preparation. Polar hydrogens were added, and Gasteiger partial charges were assigned using AutoDockTools ( 6 ). The prepared receptor structure was exported in PDBQT format. Binding Site Definition The docking grid was centered on the CRID3-binding cavity within the NACHT ATPase domain as observed in the 7PZC structure (5). Grid dimensions were defined to encompass the ATP-binding pocket, including the Walker A and Walker B motifs. The same grid coordinates were used for redocking and virtual screening to ensure methodological consistency. Ligand Library Preparation A library of 100 FDA-approved small molecules (molecular weight ≤ 700 Da) was curated from DrugBank. Three-dimensional structures were generated using Open Babel ( 7 ). Hydrogen atoms were added and Gasteiger charges assigned. Each ligand was converted to PDBQT format using AutoDockTools. A single dominant protonation state at physiological pH was retained for docking. Molecular Docking Docking simulations were performed using AutoDock Vina ( 8 ). Virtual screening was conducted with an exhaustiveness value of 12 and default output modes. MCC950 was redocked under identical conditions, with exhaustiveness increased to 32 to confirm convergence of binding poses. For each ligand, the lowest-energy conformation was selected for downstream analysis. Post-Docking Structural Analysis Docking results were ranked according to predicted binding energy (kcal/mol). Spatial similarity relative to redocked MCC950 was evaluated by calculating centroid distances using UCSF ChimeraX ( 9 ). Solvent-accessible buried surface area between ligand and protein was calculated using the ChimeraX measure buriedarea function with a probe radius of 1.4 Å. Protein–ligand interaction profiles, including hydrophobic interactions, hydrogen bonds, and salt bridges, were determined using the Protein–Ligand Interaction Profiler (PLIP) v2.4.0 ( 10 ). All reported binding energies and interactions represent computational predictions derived from rigid receptor docking. Results Redocking of the Benchmark Inhibitor MCC950 To validate the docking workflow, the well-characterized NLRP3 inhibitor MCC950 was redocked into the NACHT ATP-binding cavity using an expanded grid and increased exhaustiveness to ensure convergence. Redocking yielded a best binding energy of − 9.79 kcal/mol, and multiple low-energy conformations clustered within a narrow energy window of less than 1 kcal/mol, indicating reproducibility of the docking protocol. The predicted pose localized within the ATP-binding cavity in close proximity to the Walker B motif. Interaction analysis revealed a hydrogen bond with Asp274, a key residue within the Walker B region implicated in ATP hydrolysis. The buried solvent-accessible surface area between MCC950 and the NACHT domain was calculated to be 455.68 Ų, indicating substantial burial within the nucleotide-binding cavity. In addition, hydrophobic interactions were observed with ILE234, LEU413, TRP416, and PHE508, forming a stabilizing hydrophobic environment surrounding the ligand. Together, these observations recapitulate the expected localization of MCC950 within the ATPase cavity and establish a structural benchmark for subsequent comparative screening. Virtual Screening of FDA-Approved Drugs A curated library of 100 FDA-approved small molecules with molecular weights of 700 Da or less was screened against the NACHT ATP-binding pocket using identical docking parameters. The top ten ranked compounds exhibited predicted binding energies ranging from − 10.7 to − 9.6 kcal/mol (Fig. 1 ). Although several compounds demonstrated more favorable docking scores than MCC950, spatial inspection revealed that multiple high-scoring ligands occupied alternative sub-pockets within the NACHT cavity rather than the MCC950-associated region. To distinguish energetically favorable yet spatially irrelevant poses from structurally aligned candidates, additional metrics were incorporated into the analysis. These included centroid deviation relative to redocked MCC950, buried solvent-accessible surface area, and proximity to the Walker B residue Asp274. This multi-parameter filtering approach enabled prioritization of compounds that demonstrated not only favorable predicted binding energy but also structural congruence with the benchmark inhibitor. Identification of Spironolactone as a Walker B–Associated Candidate Among the screened compounds, Spironolactone demonstrated the strongest structural similarity to MCC950. Spironolactone exhibited a docking score of − 9.99 kcal/mol, a centroid deviation of 1.35 Å relative to MCC950, and a buried surface area of 460.35 Ų. The minimal centroid deviation indicates near-identical spatial positioning within the ATP-binding cavity, while the comparable buried surface area supports similar depth of pocket occupancy. Interaction profiling identified a hydrogen bond between Spironolactone and Asp274, mirroring the Walker B interaction observed for MCC950 (Fig. 2 ). Conserved hydrophobic contacts with ILE234, LEU413, TRP416, and PHE508 further confirmed localization within the MCC950-associated sub-pocket. In addition, a predicted salt bridge with ARG167 was observed, suggesting supplementary electrostatic stabilization within the cavity. Collectively, these findings indicate that Spironolactone occupies the same NACHT ATP-binding sub-pocket and engages the Walker B region in a structurally analogous manner to MCC950. Secondary Candidates and Spatial Discrimination Montelukast, Donepezil, and Ketoconazole demonstrated moderate spatial overlap with MCC950, with centroid deviations between 3.9 and 4.3 Å, and localized within the ATP-binding cavity, although their alignment relative to the Walker B region was less precise. In contrast, several high-scoring ligands, including Apixaban, Imatinib, and Etoposide, displayed centroid deviations exceeding 17 Å, indicating binding to distinct regions of the NACHT cavity and limited proximity to Walker B residues. These findings emphasize that docking score alone does not reliably predict mechanistic relevance to the nucleotide-binding region. Structural Summary Taken together, the data identify Spironolactone as the compound demonstrating the closest structural alignment with the MCC950-associated NACHT ATP-binding sub-pocket. This alignment is supported by comparable docking energy, minimal centroid deviation, similar buried surface area, and predicted engagement of the Walker B residue Asp274. All reported interactions and binding energies represent computational predictions derived from rigid receptor docking and should be considered hypothesis-generating pending biochemical and functional validation. Discussion Redocking of MCC950 into the NACHT ATP-binding cavity reproduced a binding mode proximal to the Walker B region, including predicted interaction with Asp274 and substantial burial within the nucleotide-binding pocket. This observation is consistent with prior biochemical and structural studies demonstrating that MCC950 targets the NACHT domain and interferes with ATP hydrolysis ( 4 , 5 ). The clustering of low-energy poses within a narrow energy window further supports internal consistency of the docking workflow. While rigid receptor docking cannot fully capture conformational dynamics, the recovery of a Walker B–associated pose provides a structural benchmark for comparative screening. Virtual screening of 100 FDA-approved compounds yielded several ligands with docking scores numerically more favorable than MCC950. However, centroid distance and spatial mapping revealed that many top-scoring compounds localized to alternative sub-pockets within the NACHT cavity rather than the MCC950-associated site. This reinforces a well-recognized limitation of docking-based ranking: predicted binding energy alone does not establish mechanistic relevance to a functional motif. Incorporating spatial overlap, buried surface area, and proximity to Walker B residues enabled prioritization of candidates with structural alignment to the benchmark inhibitor rather than reliance on score magnitude alone. Among screened compounds, Spironolactone demonstrated the strongest structural convergence with MCC950. The minimal centroid deviation (1.35 Å), comparable buried surface area, and predicted hydrogen bond interaction with Asp274 collectively indicate occupation of the same NACHT sub-pocket. Conserved hydrophobic interactions with ILE234, LEU413, TRP416, and PHE508 further support engagement of the established inhibitor-binding environment. Notably, Spironolactone additionally formed a predicted salt bridge with ARG167, suggesting supplementary electrostatic stabilization that was not observed in the MCC950 docking pose. Although docking does not establish inhibition or functional suppression, these structural similarities suggest that Spironolactone may interact with the ATPase region in a manner analogous to MCC950. Several limitations should be acknowledged. The docking simulations were performed using a rigid receptor model derived from a cryo-EM structure of the NLRP3 decamer, and only a single protomer was used for computational tractability. Conformational flexibility, oligomeric interface effects, solvent dynamics, and ATP competition were not modeled. Furthermore, docking scores from AutoDock Vina have an expected uncertainty of approximately ± 1 kcal/mol, limiting fine discrimination between closely ranked compounds ( 8 ). Therefore, the present findings should be interpreted as structural predictions rather than evidence of functional modulation. In summary, this in silico triage approach identified Spironolactone as a structurally aligned candidate within the MCC950-associated NACHT ATP-binding sub-pocket. The predicted engagement of the Walker B region supports a mechanistically relevant hypothesis that warrants further biochemical and cellular validation. These findings demonstrate that spatial alignment with a mechanistically defined sub-pocket provides a more biologically relevant prioritization strategy than docking score alone. References Swanson KV, Deng M, Ting JPY. The NLRP3 inflammasome: molecular activation and regulation to therapeutics. Nat Rev Immunol. 2019 Aug;19(8):477–89. doi:10.1038/s41577-019-0165-0 Sharif H, Wang L, Wang WL, Magupalli VG, Andreeva L, Qiao Q, et al. Structural mechanism for NEK7-licensed activation of NLRP3 inflammasome. Nature. 2019 Jun 20;570(7761):338–43. doi:10.1038/s41586-019-1295-z Coll RC, Robertson AAB, Chae JJ, Higgins SC, Muñoz-Planillo R, Inserra MC, et al. A small-molecule inhibitor of the NLRP3 inflammasome for the treatment of inflammatory diseases. Nat Med. 2015 Mar;21(3):248–55. doi:10.1038/nm.3806 Tapia-Abellán A, Angosto-Bazarra D, Martínez-Banaclocha H, De Torre-Minguela C, Cerón-Carrasco JP, Pérez-Sánchez H, et al. MCC950 closes the active conformation of NLRP3 to an inactive state. Nat Chem Biol. 2019 Jun;15(6):560–4. doi:10.1038/s41589-019-0278-6 Dekker C, Mattes H, Wright M, Boettcher A, Hinniger A, Hughes N, et al. Crystal Structure of NLRP3 NACHT Domain With an Inhibitor Defines Mechanism of Inflammasome Inhibition. J Mol Biol. 2021 Dec;433(24):167309. doi:10.1016/j.jmb.2021.167309 Morris GM, Huey R, Lindstrom W, Sanner MF, Belew RK, Goodsell DS, et al. AutoDock4 and AutoDockTools4: Automated docking with selective receptor flexibility. J Comput Chem. 2009 Dec;30(16):2785–91. doi:10.1002/jcc.21256 O’Boyle NM, Banck M, James CA, Morley C, Vandermeersch T, Hutchison GR. Open Babel: An open chemical toolbox. J Cheminformatics. 2011 Dec;3(1):33. doi:10.1186/1758-2946-3-33 Trott O, Olson AJ. AutoDock Vina: Improving the speed and accuracy of docking with a new scoring function, efficient optimization, and multithreading. J Comput Chem. 2010 Jan 30;31(2):455–61. doi:10.1002/jcc.21334 Pettersen EF, Goddard TD, Huang CC, Meng EC, Couch GS, Croll TI, et al. UCSF ChimeraX : Structure visualization for researchers, educators, and developers. Protein Sci. 2021 Jan;30(1):70–82. doi:10.1002/pro.3943 Adasme MF, Linnemann KL, Bolz SN, Kaiser F, Salentin S, Haupt VJ, et al. PLIP 2021: expanding the scope of the protein–ligand interaction profiler to DNA and RNA. Nucleic Acids Res. 2021 Jul 2;49(W1):W530–4. doi:10.1093/nar/gkab294 Additional Declarations The authors declare no competing interests. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-9318173","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":617435235,"identity":"91283689-e9ca-4214-80eb-4987764c3c7f","order_by":0,"name":"Mishel Abdullah","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAABB0lEQVRIiWNgGAWjYDACZgY2BoYChgSGA8yNBxgbDsiBBA88IKjFAKQFqB6IjMFaEvDbg6olsQEkhk+Lbjv7swcfDOzy+G4kNhz4ueNO+vywww+BttjJ6TZg12J2mMfccIZBcrEkUMvB3jPPcjfeTjMAakk2NjuAUwubNI8Bc+IGkC28bYdzN85OAGk5kLgNpxb2Z9J/DOrBWg7+bTucbjg7/QMBLQxm0gwGh8FaDgNtSZCXziFkC4+ZZI/B8WLJMw8bDsu2HTbcIJ1TcCDBAI9fzh9/JvGjojqP73jywYdv2w7Ly89O3/zhQ4WdHC4tmMAArNKAWOUgIN9AiupRMApGwSgYCQAAA2Rx0viJQCMAAAAASUVORK5CYII=","orcid":"https://orcid.org/0009-0007-6326-8572","institution":"All India Institute of Medical Sciences, New Delhi","correspondingAuthor":true,"prefix":"","firstName":"Mishel","middleName":"","lastName":"Abdullah","suffix":""},{"id":617435236,"identity":"75667993-c451-4267-804a-57608516ade9","order_by":1,"name":"Jayadevan K","email":"","orcid":"https://orcid.org/0009-0003-9137-471X","institution":"All India Institute of Medical Sciences, New Delhi","correspondingAuthor":false,"prefix":"","firstName":"Jayadevan","middleName":"","lastName":"K","suffix":""},{"id":617435237,"identity":"693f6a13-5217-494f-8c05-30392c8f1d1d","order_by":2,"name":"Amalkrishnan Therayil","email":"","orcid":"https://orcid.org/0009-0006-0781-376X","institution":"All India Institute of Medical Sciences, New Delhi","correspondingAuthor":false,"prefix":"","firstName":"Amalkrishnan","middleName":"","lastName":"Therayil","suffix":""},{"id":617435238,"identity":"282eee4c-3c57-4753-a0b4-1204ce81afc1","order_by":3,"name":"Alhan Faiza","email":"","orcid":"https://orcid.org/0009-0003-6730-1588","institution":"PSG College of Atrs and Science, Coimbatore","correspondingAuthor":false,"prefix":"","firstName":"Alhan","middleName":"","lastName":"Faiza","suffix":""}],"badges":[],"createdAt":"2026-04-04 06:45:28","currentVersionCode":1,"declarations":{"humanSubjects":false,"vertebrateSubjects":false,"conflictsOfInterestStatement":false,"humanSubjectEthicalGuidelines":false,"humanSubjectConsent":false,"humanSubjectClinicalTrial":false,"humanSubjectCaseReport":false,"vertebrateSubjectEthicalGuidelines":false},"doi":"10.21203/rs.3.rs-9318173/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-9318173/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":106403356,"identity":"118227ce-c478-4d8e-b89c-a7a56559caf4","added_by":"auto","created_at":"2026-04-08 09:14:08","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":94909,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eComparative docking scores of the top ten FDA-approved compounds screened against the NLRP3 NACHT ATP-binding pocket.\u003c/strong\u003e Bars represent predicted binding energies (kcal/mol) obtained using AutoDock Vina. MCC950 (gold) is shown as the benchmark inhibitor, while screened compounds are shown in purple. More negative values indicate stronger predicted binding.\u003c/p\u003e","description":"","filename":"1.png","url":"https://assets-eu.researchsquare.com/files/rs-9318173/v1/a9161cbec00dab0258e80d7c.png"},{"id":106281645,"identity":"6168fc5d-d0b6-49c4-80f8-84f2cf25735f","added_by":"auto","created_at":"2026-04-07 06:04:51","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":224796,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003ePredicted binding modes of MCC950 and Spironolactone in the NLRP3 NACHT ATP-binding pocket.\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e(A)\u003c/strong\u003e MCC950 bound within the ATP-binding cavity adjacent to the Walker B motif. Hydrophobic interactions (grey dashed lines) involve ILE234, LEU413, TRP416, TYR381, PHE373, and PHE508. A hydrogen bond with Asp274 is observed.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e(B)\u003c/strong\u003eSpironolactone occupying a spatially overlapping pocket. Conserved hydrophobic contacts are maintained with the same core residues. A hydrogen bond with Asp274 and a salt bridge with ARG167 are observed (yellow dashed line).\u003c/p\u003e\n\u003cp\u003eInteractions were generated using PLIP and represent computational predictions.\u003c/p\u003e","description":"","filename":"2.png","url":"https://assets-eu.researchsquare.com/files/rs-9318173/v1/112c82702a8e48b69babe755.png"},{"id":106405651,"identity":"c21e2600-d15f-4eda-9bef-75f9fb61d5aa","added_by":"auto","created_at":"2026-04-08 09:28:03","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":823783,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-9318173/v1/5f4fca4d-5e25-4a94-b3b8-5b8a0c57397c.pdf"}],"financialInterests":"The authors declare no competing interests.","formattedTitle":"\u003cp\u003e\u003cstrong\u003eIn Silico Identification of Spironolactone as a Walker B Associated Candidate in the NLRP3 NACHT ATPase Domain\u003c/strong\u003e\u003c/p\u003e","fulltext":[{"header":"Introduction","content":"\u003cp\u003eThe NLRP3 inflammasome is a cytosolic multiprotein complex that mediates caspase-1 activation and the maturation of interleukin-1β (IL-1β) and interleukin-18 (IL-18). Aberrant NLRP3 activation contributes to inflammatory and metabolic disorders including cryopyrin-associated periodic syndromes (CAPS), gout, type 2 diabetes, and neuroinflammatory diseases (\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e). The central NACHT domain of NLRP3 functions as an ATPase that drives inflammasome assembly and contains conserved Walker A and Walker B motifs required for nucleotide binding and hydrolysis (\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e), making the ATP-binding pocket a mechanistically relevant therapeutic target.\u003c/p\u003e \u003cp\u003eMCC950 (CRID3) is a potent and selective NLRP3 inhibitor that directly targets the NACHT domain and suppresses ATP hydrolysis, with evidence supporting engagement near the Walker B motif (\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e, \u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e). Structural studies have provided a framework for understanding inhibitor interactions within this ATPase region (\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e). However, MCC950 has not advanced clinically, underscoring the need to identify alternative compounds capable of targeting the same functional sub-pocket.\u003c/p\u003e \u003cp\u003eHere, we applied structure-based virtual screening of FDA-approved small molecules against the NLRP3 NACHT ATP-binding cavity using MCC950 as a structural benchmark. Compounds were prioritized based on predicted binding energy and structural alignment with the Walker B\u0026ndash;associated sub-pocket. This strategy provides a hypothesis-generating approach for identifying repurposable candidates targeting the NLRP3 ATPase domain.\u003c/p\u003e"},{"header":"Methods","content":"\u003cdiv id=\"Sec3\" class=\"Section2\"\u003e \u003ch2\u003eProtein Structure Preparation\u003c/h2\u003e \u003cp\u003eThe cryo-electron microscopy structure of the human NLRP3 decamer in complex with the inhibitor CRID3 (MCC950) (PDB ID: 7PZC) was obtained from the Protein Data Bank (\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e). A single NACHT-containing protomer was extracted from the decameric assembly for docking analysis to avoid inter-chain steric interference. The co-resolved CRID3 molecule, water molecules, and non-protein heteroatoms were removed prior to preparation. Polar hydrogens were added, and Gasteiger partial charges were assigned using AutoDockTools (\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e). The prepared receptor structure was exported in PDBQT format.\u003c/p\u003e \u003c/div\u003e\n\u003ch3\u003eBinding Site Definition\u003c/h3\u003e\n\u003cp\u003eThe docking grid was centered on the CRID3-binding cavity within the NACHT ATPase domain as observed in the 7PZC structure (5). Grid dimensions were defined to encompass the ATP-binding pocket, including the Walker A and Walker B motifs. The same grid coordinates were used for redocking and virtual screening to ensure methodological consistency.\u003c/p\u003e\n\u003ch3\u003eLigand Library Preparation\u003c/h3\u003e\n\u003cp\u003eA library of 100 FDA-approved small molecules (molecular weight\u0026thinsp;\u0026le;\u0026thinsp;700 Da) was curated from DrugBank. Three-dimensional structures were generated using Open Babel (\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e). Hydrogen atoms were added and Gasteiger charges assigned. Each ligand was converted to PDBQT format using AutoDockTools. A single dominant protonation state at physiological pH was retained for docking.\u003c/p\u003e\n\u003ch3\u003eMolecular Docking\u003c/h3\u003e\n\u003cp\u003eDocking simulations were performed using AutoDock Vina (\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e). Virtual screening was conducted with an exhaustiveness value of 12 and default output modes. MCC950 was redocked under identical conditions, with exhaustiveness increased to 32 to confirm convergence of binding poses. For each ligand, the lowest-energy conformation was selected for downstream analysis.\u003c/p\u003e\n\u003ch3\u003ePost-Docking Structural Analysis\u003c/h3\u003e\n\u003cp\u003eDocking results were ranked according to predicted binding energy (kcal/mol). Spatial similarity relative to redocked MCC950 was evaluated by calculating centroid distances using UCSF ChimeraX (\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e). Solvent-accessible buried surface area between ligand and protein was calculated using the ChimeraX measure buriedarea function with a probe radius of 1.4 \u0026Aring;. Protein\u0026ndash;ligand interaction profiles, including hydrophobic interactions, hydrogen bonds, and salt bridges, were determined using the Protein\u0026ndash;Ligand Interaction Profiler (PLIP) v2.4.0 (\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e). All reported binding energies and interactions represent computational predictions derived from rigid receptor docking.\u003c/p\u003e"},{"header":"Results","content":"\u003cdiv id=\"Sec9\" class=\"Section2\"\u003e\n \u003ch2\u003eRedocking of the Benchmark Inhibitor MCC950\u003c/h2\u003e\n \u003cp\u003eTo validate the docking workflow, the well-characterized NLRP3 inhibitor MCC950 was redocked into the NACHT ATP-binding cavity using an expanded grid and increased exhaustiveness to ensure convergence. Redocking yielded a best binding energy of \u0026minus;\u0026thinsp;9.79 kcal/mol, and multiple low-energy conformations clustered within a narrow energy window of less than 1 kcal/mol, indicating reproducibility of the docking protocol. The predicted pose localized within the ATP-binding cavity in close proximity to the Walker B motif.\u003c/p\u003e\n \u003cp\u003eInteraction analysis revealed a hydrogen bond with Asp274, a key residue within the Walker B region implicated in ATP hydrolysis. The buried solvent-accessible surface area between MCC950 and the NACHT domain was calculated to be 455.68 \u0026Aring;\u0026sup2;, indicating substantial burial within the nucleotide-binding cavity. In addition, hydrophobic interactions were observed with ILE234, LEU413, TRP416, and PHE508, forming a stabilizing hydrophobic environment surrounding the ligand. Together, these observations recapitulate the expected localization of MCC950 within the ATPase cavity and establish a structural benchmark for subsequent comparative screening.\u003c/p\u003e\n\u003c/div\u003e\n\u003ch3\u003eVirtual Screening of FDA-Approved Drugs\u003c/h3\u003e\n\u003cp\u003eA curated library of 100 FDA-approved small molecules with molecular weights of 700 Da or less was screened against the NACHT ATP-binding pocket using identical docking parameters. The top ten ranked compounds exhibited predicted binding energies ranging from \u0026minus;\u0026thinsp;10.7 to \u0026minus;\u0026thinsp;9.6 kcal/mol (Fig. \u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003e). Although several compounds demonstrated more favorable docking scores than MCC950, spatial inspection revealed that multiple high-scoring ligands occupied alternative sub-pockets within the NACHT cavity rather than the MCC950-associated region.\u003c/p\u003e\n\u003cp\u003eTo distinguish energetically favorable yet spatially irrelevant poses from structurally aligned candidates, additional metrics were incorporated into the analysis. These included centroid deviation relative to redocked MCC950, buried solvent-accessible surface area, and proximity to the Walker B residue Asp274. This multi-parameter filtering approach enabled prioritization of compounds that demonstrated not only favorable predicted binding energy but also structural congruence with the benchmark inhibitor.\u003c/p\u003e\n\u003cdiv id=\"Sec11\" class=\"Section2\"\u003e\n \u003ch2\u003eIdentification of Spironolactone as a Walker B\u0026ndash;Associated Candidate\u003c/h2\u003e\n \u003cp\u003eAmong the screened compounds, Spironolactone demonstrated the strongest structural similarity to MCC950. Spironolactone exhibited a docking score of \u0026minus;\u0026thinsp;9.99 kcal/mol, a centroid deviation of 1.35 \u0026Aring; relative to MCC950, and a buried surface area of 460.35 \u0026Aring;\u0026sup2;. The minimal centroid deviation indicates near-identical spatial positioning within the ATP-binding cavity, while the comparable buried surface area supports similar depth of pocket occupancy.\u003c/p\u003e\n \u003cp\u003eInteraction profiling identified a hydrogen bond between Spironolactone and Asp274, mirroring the Walker B interaction observed for MCC950 (Fig. \u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\u003c/span\u003e). Conserved hydrophobic contacts with ILE234, LEU413, TRP416, and PHE508 further confirmed localization within the MCC950-associated sub-pocket. In addition, a predicted salt bridge with ARG167 was observed, suggesting supplementary electrostatic stabilization within the cavity. Collectively, these findings indicate that Spironolactone occupies the same NACHT ATP-binding sub-pocket and engages the Walker B region in a structurally analogous manner to MCC950.\u003c/p\u003e\n\n\u003c/div\u003e\n\u003cdiv id=\"Sec12\" class=\"Section2\"\u003e\n \u003ch2\u003eSecondary Candidates and Spatial Discrimination\u003c/h2\u003e\n \u003cp\u003eMontelukast, Donepezil, and Ketoconazole demonstrated moderate spatial overlap with MCC950, with centroid deviations between 3.9 and 4.3 \u0026Aring;, and localized within the ATP-binding cavity, although their alignment relative to the Walker B region was less precise. In contrast, several high-scoring ligands, including Apixaban, Imatinib, and Etoposide, displayed centroid deviations exceeding 17 \u0026Aring;, indicating binding to distinct regions of the NACHT cavity and limited proximity to Walker B residues. These findings emphasize that docking score alone does not reliably predict mechanistic relevance to the nucleotide-binding region.\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec13\" class=\"Section2\"\u003e\n \u003ch2\u003eStructural Summary\u003c/h2\u003e\n \u003cp\u003eTaken together, the data identify Spironolactone as the compound demonstrating the closest structural alignment with the MCC950-associated NACHT ATP-binding sub-pocket. This alignment is supported by comparable docking energy, minimal centroid deviation, similar buried surface area, and predicted engagement of the Walker B residue Asp274. All reported interactions and binding energies represent computational predictions derived from rigid receptor docking and should be considered hypothesis-generating pending biochemical and functional validation.\u003c/p\u003e\n\u003c/div\u003e"},{"header":"Discussion","content":"\u003cp\u003eRedocking of MCC950 into the NACHT ATP-binding cavity reproduced a binding mode proximal to the Walker B region, including predicted interaction with Asp274 and substantial burial within the nucleotide-binding pocket. This observation is consistent with prior biochemical and structural studies demonstrating that MCC950 targets the NACHT domain and interferes with ATP hydrolysis (\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e, \u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e). The clustering of low-energy poses within a narrow energy window further supports internal consistency of the docking workflow. While rigid receptor docking cannot fully capture conformational dynamics, the recovery of a Walker B\u0026ndash;associated pose provides a structural benchmark for comparative screening.\u003c/p\u003e \u003cp\u003eVirtual screening of 100 FDA-approved compounds yielded several ligands with docking scores numerically more favorable than MCC950. However, centroid distance and spatial mapping revealed that many top-scoring compounds localized to alternative sub-pockets within the NACHT cavity rather than the MCC950-associated site. This reinforces a well-recognized limitation of docking-based ranking: predicted binding energy alone does not establish mechanistic relevance to a functional motif. Incorporating spatial overlap, buried surface area, and proximity to Walker B residues enabled prioritization of candidates with structural alignment to the benchmark inhibitor rather than reliance on score magnitude alone.\u003c/p\u003e \u003cp\u003eAmong screened compounds, Spironolactone demonstrated the strongest structural convergence with MCC950. The minimal centroid deviation (1.35 \u0026Aring;), comparable buried surface area, and predicted hydrogen bond interaction with Asp274 collectively indicate occupation of the same NACHT sub-pocket. Conserved hydrophobic interactions with ILE234, LEU413, TRP416, and PHE508 further support engagement of the established inhibitor-binding environment. Notably, Spironolactone additionally formed a predicted salt bridge with ARG167, suggesting supplementary electrostatic stabilization that was not observed in the MCC950 docking pose. Although docking does not establish inhibition or functional suppression, these structural similarities suggest that Spironolactone may interact with the ATPase region in a manner analogous to MCC950.\u003c/p\u003e \u003cp\u003eSeveral limitations should be acknowledged. The docking simulations were performed using a rigid receptor model derived from a cryo-EM structure of the NLRP3 decamer, and only a single protomer was used for computational tractability. Conformational flexibility, oligomeric interface effects, solvent dynamics, and ATP competition were not modeled. Furthermore, docking scores from AutoDock Vina have an expected uncertainty of approximately\u0026thinsp;\u0026plusmn;\u0026thinsp;1 kcal/mol, limiting fine discrimination between closely ranked compounds (\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e). Therefore, the present findings should be interpreted as structural predictions rather than evidence of functional modulation.\u003c/p\u003e \u003cp\u003eIn summary, this in silico triage approach identified Spironolactone as a structurally aligned candidate within the MCC950-associated NACHT ATP-binding sub-pocket. The predicted engagement of the Walker B region supports a mechanistically relevant hypothesis that warrants further biochemical and cellular validation. These findings demonstrate that spatial alignment with a mechanistically defined sub-pocket provides a more biologically relevant prioritization strategy than docking score alone.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n \u003cli\u003eSwanson KV, Deng M, Ting JPY. The NLRP3 inflammasome: molecular activation and regulation to therapeutics. Nat Rev Immunol. 2019 Aug;19(8):477\u0026ndash;89. doi:10.1038/s41577-019-0165-0\u003c/li\u003e\n \u003cli\u003eSharif H, Wang L, Wang WL, Magupalli VG, Andreeva L, Qiao Q, et al. Structural mechanism for NEK7-licensed activation of NLRP3 inflammasome. Nature. 2019 Jun 20;570(7761):338\u0026ndash;43. doi:10.1038/s41586-019-1295-z\u003c/li\u003e\n \u003cli\u003eColl RC, Robertson AAB, Chae JJ, Higgins SC, Mu\u0026ntilde;oz-Planillo R, Inserra MC, et al. A small-molecule inhibitor of the NLRP3 inflammasome for the treatment of inflammatory diseases. Nat Med. 2015 Mar;21(3):248\u0026ndash;55. doi:10.1038/nm.3806\u003c/li\u003e\n \u003cli\u003eTapia-Abell\u0026aacute;n A, Angosto-Bazarra D, Mart\u0026iacute;nez-Banaclocha H, De Torre-Minguela C, Cer\u0026oacute;n-Carrasco JP, P\u0026eacute;rez-S\u0026aacute;nchez H, et al. MCC950 closes the active conformation of NLRP3 to an inactive state. Nat Chem Biol. 2019 Jun;15(6):560\u0026ndash;4. doi:10.1038/s41589-019-0278-6\u003c/li\u003e\n \u003cli\u003eDekker C, Mattes H, Wright M, Boettcher A, Hinniger A, Hughes N, et al. Crystal Structure of NLRP3 NACHT Domain With an Inhibitor Defines Mechanism of Inflammasome Inhibition. J Mol Biol. 2021 Dec;433(24):167309. doi:10.1016/j.jmb.2021.167309\u003c/li\u003e\n \u003cli\u003eMorris GM, Huey R, Lindstrom W, Sanner MF, Belew RK, Goodsell DS, et al. AutoDock4 and AutoDockTools4: Automated docking with selective receptor flexibility. J Comput Chem. 2009 Dec;30(16):2785\u0026ndash;91. doi:10.1002/jcc.21256\u003c/li\u003e\n \u003cli\u003eO\u0026rsquo;Boyle NM, Banck M, James CA, Morley C, Vandermeersch T, Hutchison GR. Open Babel: An open chemical toolbox. J Cheminformatics. 2011 Dec;3(1):33. doi:10.1186/1758-2946-3-33\u003c/li\u003e\n \u003cli\u003eTrott O, Olson AJ. AutoDock Vina: Improving the speed and accuracy of docking with a new scoring function, efficient optimization, and multithreading. J Comput Chem. 2010 Jan 30;31(2):455\u0026ndash;61. doi:10.1002/jcc.21334\u003c/li\u003e\n \u003cli\u003ePettersen EF, Goddard TD, Huang CC, Meng EC, Couch GS, Croll TI, et al. UCSF ChimeraX : Structure visualization for researchers, educators, and developers. Protein Sci. 2021 Jan;30(1):70\u0026ndash;82. doi:10.1002/pro.3943\u003c/li\u003e\n \u003cli\u003eAdasme MF, Linnemann KL, Bolz SN, Kaiser F, Salentin S, Haupt VJ, et al. PLIP 2021: expanding the scope of the protein\u0026ndash;ligand interaction profiler to DNA and RNA. Nucleic Acids Res. 2021 Jul 2;49(W1):W530\u0026ndash;4. doi:10.1093/nar/gkab294\u003c/li\u003e\n\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"hideJournal":true,"highlight":"","institution":"All India Institute of Medical Sciences","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"
[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"NLRP3 inflammasome, NACHT domain, ATPase inhibition, Walker B motif, Spironolactone, MCC950 (CRID3)","lastPublishedDoi":"10.21203/rs.3.rs-9318173/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-9318173/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThe NLRP3 inflammasome is a cytosolic complex whose activation depends on ATP binding and hydrolysis within the central NACHT domain. MCC950 (CRID3) targets this ATPase region and engages residues proximal to the Walker B motif, providing a structural benchmark for inhibitor discovery. Here, we performed molecular docking based virtual screening of 100 FDA-approved small molecules against the NLRP3 NACHT ATP-binding cavity using the cryo-EM structure of NLRP3 bound to CRID3 (PDB ID: 7PZC). Redocking of MCC950 yielded a best binding energy of −9.79 kcal/mol and reproduced localization within the Walker B–associated sub-pocket, including a predicted hydrogen bond with Asp274 and a buried surface area of 455.68 Ų. Top-ranked compounds exhibited predicted binding energies between −10.7 and −9.6 kcal/mol; however, spatial analysis showed that several localized outside the MCC950-associated site. Incorporation of centroid deviation, buried surface area, and proximity to Asp274 enabled prioritization of structurally aligned candidates. Spironolactone demonstrated the closest alignment to MCC950, with a docking score of −9.99 kcal/mol, centroid deviation of 1.35 Å, comparable burial (460.35 Ų), and predicted interaction with Asp274. These results identify Spironolactone as a structurally aligned NACHT-binding candidate warranting experimental validation.\u003c/p\u003e","manuscriptTitle":"In Silico Identification of Spironolactone as a Walker B Associated Candidate in the NLRP3 NACHT ATPase Domain","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2026-04-07 06:04:42","doi":"10.21203/rs.3.rs-9318173/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"
[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"513d50fd-ddaa-4ea4-bd9c-d6c29b8f0d33","owner":[],"postedDate":"April 7th, 2026","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[{"id":65711342,"name":"General Biochemistry"},{"id":65711343,"name":"Pharmacodynamics"},{"id":65711344,"name":"Computational Biology"}],"tags":[],"updatedAt":"2026-04-07T06:04:42+00:00","versionOfRecord":[],"versionCreatedAt":"2026-04-07 06:04:42","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-9318173","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-9318173","identity":"rs-9318173","version":["v1"]},"buildId":"XKTyCvWXoU3ODBz1xrDgd","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}
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.