Identifying Cryptic Binding Sites with Mixed Solvent MD Simulation and SiteMap

structures. Here, we developed and validated a novel "induce-and-identify" workflow that integrates mixed solvent molecular dynamics (MxMD) simulations with SiteMap. This approach leverages MxMD to sample protein conformations to expose hidden pockets, which are then effectively identified and ranked by SiteMap. Using a challenging data set of 65 cryptic binding sites, the developed workflow identified the cryptic binding site within the top 5 predictions in 78.5% of cases. These results suggest that the proposed MxMD + SiteMap workflow provides a robust and valuable tool for early phase drug discovery, enabling the exploration of a broader range of druggable targets by effectively inducing and identifying cryptic binding sites.

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Publication Details

Journal
Journal of Chemical Information and Modeling
Published
2026-07-23
DOI
https://doi.org/10.1021/acs.jcim.6c01288
Primary Topic
Cryptographic Implementations and Security
Type
article
Field-Weighted Citation Impact
0.00
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article

Identifying Cryptic Binding Sites with Mixed Solvent MD Simulation and SiteMap

Da Shi, Robert Abel, Yuqi Zhang, Steven Jerome et al.
Journal of Chemical Information and Modeling
Cryptographic Implementations and Security
article

Identifying Cryptic Binding Sites with Mixed Solvent MD Simulation and SiteMap

Da Shi, Robert Abel, Yuqi Zhang, Steven Jerome, Dmitry Lupyan
article en

Abstract

structures. Here, we developed and validated a novel "induce-and-identify" workflow that integrates mixed solvent molecular dynamics (MxMD) simulations with SiteMap. This approach leverages MxMD to sample protein conformations to expose hidden pockets, which are then effectively identified and ranked by SiteMap. Using a challenging data set of 65 cryptic binding sites, the developed workflow identified the cryptic binding site within the top 5 predictions in 78.5% of cases. These results suggest that the proposed MxMD + SiteMap workflow provides a robust and valuable tool for early phase drug discovery, enabling the exploration of a broader range of druggable targets by effectively inducing and identifying cryptic binding sites.

Journal of Chemical Information and Modeling
Schrodinger (United States) (US), Schrodinger (United States) (US)
Openalex Percentile: Top 6%
Cryptographic Implementations and Security
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