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Modified Hamiltonian in FEP Calculations for Reducing the Computational Cost of Electrostatic Interactions
[Image: see text] The free-energy perturbation (FEP) method predicts relative and absolute free-energy changes of biomolecules in solvation and binding with other molecules. FEP is, therefore, one of the most essential tools in in silico drug design. In conventional FEP, to smoothly connect two ther...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9199518/ https://www.ncbi.nlm.nih.gov/pubmed/35639709 http://dx.doi.org/10.1021/acs.jcim.1c01532 |
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author | Oshima, Hiraku Sugita, Yuji |
author_facet | Oshima, Hiraku Sugita, Yuji |
author_sort | Oshima, Hiraku |
collection | PubMed |
description | [Image: see text] The free-energy perturbation (FEP) method predicts relative and absolute free-energy changes of biomolecules in solvation and binding with other molecules. FEP is, therefore, one of the most essential tools in in silico drug design. In conventional FEP, to smoothly connect two thermodynamic states, the potential energy is modified as a linear combination of the end-state potential energies by introducing scaling factors. When the particle mesh Ewald is used for electrostatic calculations, conventional FEP requires two reciprocal-space calculations per time step, which largely decreases the computational performance. To overcome this problem, we propose a new FEP scheme by introducing a modified Hamiltonian instead of interpolation of the end-state potential energies. The scheme introduces nonuniform scaling into the electrostatic potential as used in Replica Exchange with Solute Tempering 2 (REST2) and does not require additional reciprocal-space calculations. We tested this modified Hamiltonian in FEP calculations in several biomolecular systems. In all cases, the calculated free-energy changes with the current scheme are in good agreement with those from conventional FEP. The modified Hamiltonian in FEP greatly improves the computational performance, which is particularly marked for large biomolecular systems whose reciprocal-space calculations are the major bottleneck of total computational time. |
format | Online Article Text |
id | pubmed-9199518 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-91995182023-05-31 Modified Hamiltonian in FEP Calculations for Reducing the Computational Cost of Electrostatic Interactions Oshima, Hiraku Sugita, Yuji J Chem Inf Model [Image: see text] The free-energy perturbation (FEP) method predicts relative and absolute free-energy changes of biomolecules in solvation and binding with other molecules. FEP is, therefore, one of the most essential tools in in silico drug design. In conventional FEP, to smoothly connect two thermodynamic states, the potential energy is modified as a linear combination of the end-state potential energies by introducing scaling factors. When the particle mesh Ewald is used for electrostatic calculations, conventional FEP requires two reciprocal-space calculations per time step, which largely decreases the computational performance. To overcome this problem, we propose a new FEP scheme by introducing a modified Hamiltonian instead of interpolation of the end-state potential energies. The scheme introduces nonuniform scaling into the electrostatic potential as used in Replica Exchange with Solute Tempering 2 (REST2) and does not require additional reciprocal-space calculations. We tested this modified Hamiltonian in FEP calculations in several biomolecular systems. In all cases, the calculated free-energy changes with the current scheme are in good agreement with those from conventional FEP. The modified Hamiltonian in FEP greatly improves the computational performance, which is particularly marked for large biomolecular systems whose reciprocal-space calculations are the major bottleneck of total computational time. American Chemical Society 2022-05-31 2022-06-13 /pmc/articles/PMC9199518/ /pubmed/35639709 http://dx.doi.org/10.1021/acs.jcim.1c01532 Text en © 2022 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Oshima, Hiraku Sugita, Yuji Modified Hamiltonian in FEP Calculations for Reducing the Computational Cost of Electrostatic Interactions |
title | Modified Hamiltonian in FEP Calculations for Reducing
the Computational Cost of Electrostatic Interactions |
title_full | Modified Hamiltonian in FEP Calculations for Reducing
the Computational Cost of Electrostatic Interactions |
title_fullStr | Modified Hamiltonian in FEP Calculations for Reducing
the Computational Cost of Electrostatic Interactions |
title_full_unstemmed | Modified Hamiltonian in FEP Calculations for Reducing
the Computational Cost of Electrostatic Interactions |
title_short | Modified Hamiltonian in FEP Calculations for Reducing
the Computational Cost of Electrostatic Interactions |
title_sort | modified hamiltonian in fep calculations for reducing
the computational cost of electrostatic interactions |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9199518/ https://www.ncbi.nlm.nih.gov/pubmed/35639709 http://dx.doi.org/10.1021/acs.jcim.1c01532 |
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