Evidence map›Paper›PMID 41776961›Full record

ArticleJournal of chemical theory and computation2026

Exploring the Structural Basis of Cryptic Pocket Formation Driven by Extensive Protein Conformational Changes in Drug Targets.

Martijn P Bemelmans, Alberto Borsatto, Simone Marsili, Francesco L Gervasio, Vineet Pande

Abstract read
In one paragraph

Article in Journal of chemical theory and computation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Martijn P BemelmansComputer-Aided Drug Design, In Silico Discovery, Therapeutics Discovery, Johnson & Johnson Innovative Medicine, Turnhoutseweg 30, Beerse 2340, Belgium.ORCID 0000-0002-4423-8956
Alberto BorsattoSchool of Pharmaceutical Sciences, University of Geneva, Rue Michel Servet 1, Geneva 1206, Switzerland.ORCID 0000-0002-8889-6491
Simone MarsiliComputer-Aided Drug Design, In Silico Discovery, Therapeutics Discovery, Johnson & Johnson Innovative Medicine, C. Río Jarama, 75, Toledo 45007, Spain.
Francesco L GervasioSchool of Pharmaceutical Sciences, University of Geneva, Rue Michel Servet 1, Geneva 1206, Switzerland.ORCID 0000-0003-4831-5039
Vineet PandeComputer-Aided Drug Design, In Silico Discovery, Therapeutics Discovery, Johnson & Johnson Innovative Medicine, Turnhoutseweg 30, Beerse 2340, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Allosteric pockets that typically only emerge in the presence of a binder, known as cryptic pockets, can provide an avenue for drug discovery in challenging pharmaceutical targets. However, protein conformations exposing cryptic pockets are generally short-lived and can require significant structural rearrangements that complicate their discovery in experiment and simulation. Here, we investigate the structural basis of cryptic pocket formation in drug targets characterized by extensive dynamics using simulation-based methods. We find that functional protein segments can be anchored by local intramolecular contacts and that disrupting these interactions drives undirected large conformational changes to form cryptic pockets in PRMT5, PRMT6, SMARCA2, Abl1, and PI3Kα. Perturbing the contact networks with benzene probes, elevated temperature, or scaled protein-water interactions could not facilitate these structural dynamics here, indicating that complex mechanisms involving high-energy barriers are necessary to form ligandable cryptic pockets. Based on these limitations, a new computational approach was developed to guide conformational sampling by local interactions surrounding functional protein segments, termed "SLICE" (sampling by local interaction-guided conformational exploration). Across multiple pharmaceutically relevant proteins, our simulations aid in understanding and rapidly exploring the large-scale structural plasticity governed by the local protein environment around functional segments that can be leveraged for drug discovery.

Indexed as

ProteinsHumansLigandsMolecular Dynamics SimulationProtein ConformationLigandsProteins

Identifiers

PMID41776961
PMCPMC13019620

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.