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.
Authors
- Da Shi (ORCID: https://orcid.org/0000-0002-1953-2299)
- Robert Abel (ORCID: https://orcid.org/0000-0003-2945-3145)
- Yuqi Zhang (ORCID: https://orcid.org/0000-0001-7532-5369)
- Steven Jerome
- Dmitry Lupyan
Institutions
- Schrodinger (United States) (US)
- Schrodinger (United States) (US)
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