Generalizing the Discrete Gibbs Sampler-based λ-Dynamics Approach for Multisite Sampling of Many Ligands
dc.contributor.author | Vilseck, Jonah Z. | |
dc.contributor.author | Ding, Xinqiang | |
dc.contributor.author | Hayes, Ryan L. | |
dc.contributor.author | Brooks, Charles L., III. | |
dc.contributor.department | Biochemistry and Molecular Biology, School of Medicine | |
dc.date.accessioned | 2023-05-17T13:42:38Z | |
dc.date.available | 2023-05-17T13:42:38Z | |
dc.date.issued | 2021 | |
dc.description.abstract | In this work, the discrete λ variant of the Gibbs sampler-based λ-dynamics (d-GSλD) method is developed to enable multiple functional group perturbations to be investigated at one or more sites of substitution off a common ligand core. The theoretical framework and special considerations for constructing discrete λ states for multisite d-GSλD are presented. The precision and accuracy of the d-GSλD method is evaluated with three test cases of increasing complexity. Specifically, methyl → methyl symmetric perturbations in water, 1,4-benzene hydration free energies and protein-ligand binding affinities for an example HIV-1 reverse transcriptase inhibitor series are computed with d-GSλD. Complementary MSλD calculations were also performed to compare with d-GSλD's performance. Excellent agreement between d-GSλD and MSλD is observed, with mean unsigned errors of 0.12 and 0.22 kcal/mol for computed hydration and binding free energy test cases, respectively. Good agreement with experiment is also observed, with errors of 0.5-0.7 kcal/mol. These findings support the applicability of the d-GSλD free energy method for a variety of molecular design problems, including structure-based drug design. Finally, a discussion of d-GSλD versus MSλD approaches is presented to compare and contrast features of both methods. | en_US |
dc.eprint.version | Author's manuscript | en_US |
dc.identifier.citation | Vilseck JZ, Ding X, Hayes RL, Brooks CL 3rd. Generalizing the Discrete Gibbs Sampler-Based λ-Dynamics Approach for Multisite Sampling of Many Ligands. J Chem Theory Comput. 2021;17(7):3895-3907. doi:10.1021/acs.jctc.1c00176 | en_US |
dc.identifier.uri | https://hdl.handle.net/1805/33036 | |
dc.language.iso | en_US | en_US |
dc.publisher | American Chemical Society | en_US |
dc.relation.isversionof | 10.1021/acs.jctc.1c00176 | en_US |
dc.relation.journal | Journal of Chemical Theory and Computation | en_US |
dc.rights | Publisher Policy | en_US |
dc.source | PMC | en_US |
dc.subject | Gibbs Sampler | en_US |
dc.subject | λ-dynamics | en_US |
dc.subject | Free energy calculation | en_US |
dc.title | Generalizing the Discrete Gibbs Sampler-based λ-Dynamics Approach for Multisite Sampling of Many Ligands | en_US |
dc.type | Article | en_US |