Estimating Atomic Contributions to Hydration and Binding Using Free Energy Perturbation.
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Publication Date
2018-06-12Journal Title
J Chem Theory Comput
ISSN
1549-9618
Publisher
American Chemical Society (ACS)
Volume
14
Issue
6
Pages
3218-3227
Language
eng
Type
Article
Physical Medium
Print-Electronic
Metadata
Show full item recordCitation
Irwin, B. W., & Huggins, D. J. (2018). Estimating Atomic Contributions to Hydration and Binding Using Free Energy Perturbation.. J Chem Theory Comput, 14 (6), 3218-3227. https://doi.org/10.1021/acs.jctc.8b00027
Abstract
We present a general method called atom-wise free energy perturbation (AFEP), which extends a conventional molecular dynamics free energy perturbation (FEP) simulation to give the contribution to a free energy change from each atom. AFEP is derived from an expansion of the Zwanzig equation used in the exponential averaging method by defining that the system total energy can be partitioned into contributions from each atom. A partitioning method is assumed and used to group terms in the expansion to correspond to individual atoms. AFEP is applied to six example free energy changes to demonstrate the method. Firstly, the hydration free energies of methane, methanol, methylamine, methanethiol, and caffeine in water. AFEP highlights the atoms in the molecules that interact favorably or unfavorably with water. Finally AFEP is applied to the binding free energy of human immunodeficiency virus type 1 protease to lopinavir, and AFEP reveals the contribution of each atom to the binding free energy, indicating candidate areas of the molecule to improve to produce a more strongly binding inhibitor. FEP gives a single value for the free energy change and is already a very useful method. AFEP gives a free energy change for each "part" of the system being simulated, where part can mean individual atoms, chemical groups, amino acids, or larger partitions depending on what the user is trying to measure. This method should have various applications in molecular dynamics studies of physical, chemical, or biochemical phenomena, specifically in the field of computational drug discovery.
Keywords
Caffeine, HIV Protease, HIV-1, Humans, Lopinavir, Methane, Methylamines, Molecular Dynamics Simulation, Protein Binding, Sulfhydryl Compounds, Thermodynamics, Water
Sponsorship
EPSRC (1502911)
Medical Research Council (MR/L007266/1)
Engineering and Physical Sciences Research Council (EP/L015552/1)
Identifiers
External DOI: https://doi.org/10.1021/acs.jctc.8b00027
This record's URL: https://www.repository.cam.ac.uk/handle/1810/279779
Rights
Attribution 4.0 International (CC BY 4.0)
Licence URL: https://creativecommons.org/licenses/by/4.0/
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