Evidence map›Paper›PMID 38873060›Full record

ArticleChemical science2024

Convergence criteria for single-step free-energy calculations: the relation between the Π bias measure and the sample variance.

Meiting Wang, Ye Mei, Ulf Ryde

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In one paragraph

Article in Chemical science, 2024. 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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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Meiting WangSchool of Medical Engineering & Henan International Joint Laboratory of Neural Information Analysis and Drug Intelligent Design, Xinxiang Medical University Xinxiang 453003 China.ORCID https://orcid.org/0000-0002-0860-9916
Ye MeiState Key Laboratory of Precision Spectroscopy, School of Physics and Electronic Science, East China Normal University Shanghai 200241 China ymei@phy.ecnu.edu.cn.ORCID https://orcid.org/0000-0002-3953-8508
Ulf RydeDepartment of Computational Chemistry, Lund University, Chemical Centre P.O. Box 124 SE-221 00 Lund Sweden ulf.ryde@compchem.lu.se.ORCID https://orcid.org/0000-0001-7653-8489

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Free energy calculations play a crucial role in simulating chemical processes, enzymatic reactions, and drug design. However, assessing the reliability and convergence of these calculations remains a challenge. This study focuses on single-step free-energy calculations using thermodynamic perturbation. It explores how the sample distributions influence the estimated results and evaluates the reliability of various convergence criteria, including Kofke's bias measure Π and the standard deviation of the energy difference Δ

Identifiers

PMID38873060
PMCPMC11168088

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.