Evidence map›Paper›PMID 39887323›Full record

ArticleJournal of chemical information and modeling2025

Impact of Varying Velocities and Solvation Boxes on Alchemical Free-Energy Simulations.

Meiting Wang, Hao Jiang, Ulf Ryde

Abstract read
In one paragraph

Article in Journal of chemical information and modeling, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

3 authors.

Meiting WangSchool of Medical Engineering & Xinxiang Key Laboratory of Biomedical Information Research & Henan International Joint Laboratory of Neural Information Analysis and Drug Intelligent Design & Xinxiang Key Laboratory of Biomedical Information Research, Xinxiang Medical University, Xinxiang 453003, China.ORCID 0000-0002-0860-9916
Hao JiangDepartment of Computational Chemistry, Lund University, Chemical Centre, P.O. Box 124, Lund SE-221 00, Sweden.ORCID 0000-0002-9641-1634
Ulf RydeDepartment of Computational Chemistry, Lund University, Chemical Centre, P.O. Box 124, Lund SE-221 00, Sweden.ORCID 0000-0001-7653-8489

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alchemical free-energy perturbation (FEP) is an accurate and thermodynamically stringent way to estimate relative energies for the binding of small ligands to biological macromolecules. It has repeatedly been pointed out that a single simulation normally stays near the starting point in phase space and therefore underestimates the uncertainty of the results. Therefore, it is better to run an ensemble of independent simulations. Traditionally, such an ensemble has been generated by using different starting velocities. We argue that it is better to use also other random choices made during the setup of the simulations, in particular the solvation of the solute. We show here that such solvent-induced independent simulations (SIS) sometimes give a larger standard deviation and slightly different results for the binding of 42 ligands to five different proteins, viz. human N-terminal bromodomain 4, the Leu99Ala mutant of T4 lysozyme, dihydrofolate reductase, blood-clotting factor Xa, and ferritin. SIS does not involve any increase in the time consumption. Therefore, we strongly recommend the use of SIS (in addition to different velocities) to start independent simulations. Other random or uncertain choices in the setup of the simulated systems, e.g., the selection of residues with alternative conformations or positions of added protons, may also be used to enhance the variation in independent simulations.

Indexed as

Molecular Dynamics SimulationProteinsSolventsHumansLigandsMuramidaseProtein BindingTetrahydrofolate DehydrogenaseThermodynamicsLigandsMuramidaseProteinsSolventsTetrahydrofolate Dehydrogenase

Identifiers

PMID39887323
PMCPMC11863368

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