Free Energy Profile Decomposition Analysis for QM/MM Simulations of Enzymatic Reactions

dc.contributor.authorPan, Xiaoliang
dc.contributor.authorVan, Richard
dc.contributor.authorPu, Jingzhi
dc.contributor.authorNam, Kwangho
dc.contributor.authorMao, Yuezhi
dc.contributor.authorShao, Yihan
dc.contributor.departmentChemistry and Chemical Biology, School of Science
dc.date.accessioned2024-12-05T13:51:31Z
dc.date.available2024-12-05T13:51:31Z
dc.date.issued2023
dc.description.abstractIn enzyme mechanistic studies and mutant design, it is highly desirable to know the individual residue contributions to the reaction free energy and barrier. In this work, we show that such free energy contributions from each residue can be readily obtained by postprocessing ab initio quantum mechanical molecular mechanical (ai-QM/MM) free energy simulation trajectories. Specifically, through a mean force integration along the minimum free energy pathway, one can obtain the electrostatic, polarization, and van der Waals contributions from each residue to the free energy barrier. Separately, a similar analysis procedure allows us to assess the contribution from different collective variables along the reaction coordinate. The chorismate mutase reaction is used to demonstrate the utilization of these two trajectory analysis tools.
dc.eprint.versionAuthor's manuscript
dc.identifier.citationPan X, Van R, Pu J, Nam K, Mao Y, Shao Y. Free Energy Profile Decomposition Analysis for QM/MM Simulations of Enzymatic Reactions. J Chem Theory Comput. 2023;19(22):8234-8244. doi:10.1021/acs.jctc.3c00973
dc.identifier.urihttps://hdl.handle.net/1805/44777
dc.language.isoen_US
dc.publisherAmerican Chemical Society
dc.relation.isversionof10.1021/acs.jctc.3c00973
dc.relation.journalJournal of Chemical Theory and Computation
dc.rightsPublisher Policy
dc.sourcePMC
dc.subjectComputer simulation
dc.subjectQuantum theory
dc.subjectFree energy
dc.titleFree Energy Profile Decomposition Analysis for QM/MM Simulations of Enzymatic Reactions
dc.typeArticle
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Pan2023Free-AAM.pdf
Size:
1.54 MB
Format:
Adobe Portable Document Format
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
2.04 KB
Format:
Item-specific license agreed upon to submission
Description: