Evidence map›Paper›PMID 34516130›Full record

ArticleJournal of chemical theory and computation2021

Expanded Ensemble Methods Can be Used to Accurately Predict Protein-Ligand Relative Binding Free Energies.

Si Zhang, David F Hahn, Michael R Shirts, Vincent A Voelz

Abstract read
In one paragraph

Article in Journal of chemical theory and computation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Calculating Enzyme Inhibition with Random Forests.Methods in molecular biology (Clifton, N.J.) · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Si ZhangDepartment of Chemistry, Temple University, Philadelphia, Pennsylvania 19122, United States.
David F HahnComputational Chemistry, Janssen Research & Development, Turnhoutseweg 30, Beerse B-2340, Belgium.ORCID https://orcid.org/0000-0003-2830-6880
Michael R ShirtsDepartment of Chemical and Biological Engineering, University of Colorado Boulder, Boulder, Colorado 80309, United States.ORCID https://orcid.org/0000-0003-3249-1097
Vincent A VoelzDepartment of Chemistry, Temple University, Philadelphia, Pennsylvania 19122, United States.ORCID https://orcid.org/0000-0002-1054-2124

Funding

Markov State Model approaches for folding, binding and designR01GM123296 · NIGMS · TEMPLE UNIV OF THE COMMONWEALTH · PI VOELZ, VINCENT · 2017 to 2025
$3.1M
Computer Cluster for Computational Biology and BiophysicsS10OD020095 · OD · TEMPLE UNIV OF THE COMMONWEALTH · PI LEVY, RONALD · 2015 to 2015
$442k
NIGMS NIH HHS R01 GM123296NIH HHS S10 OD020095
6 · The paper itself

Abstract

Alchemical free energy methods have become indispensable in computational drug discovery for their ability to calculate highly accurate estimates of protein-ligand affinities. Expanded ensemble (EE) methods, which involve single simulations visiting all of the alchemical intermediates, have some key advantages for alchemical free energy calculation. However, there have been relatively few examples published in the literature of using expanded ensemble simulations for free energies of protein-ligand binding. In this paper, as a test of expanded ensemble methods, we compute relative binding free energies using the Open Force Field Initiative force field (codename "Parsley") for 24 pairs of Tyk2 inhibitors derived from a congeneric series of 16 compounds. The EE predictions agree well with the experimental values (root-mean-square error (RMSE) of 0.94 ± 0.13 kcal mol

Indexed as

Protein BindingProteinsLigandsThermodynamicsLigandsProteins

Identifiers

PMID34516130
PMCPMC9333416

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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.