Evidence map›Paper›PMID 39331379›Full record

ArticleJournal of chemical theory and computation2024

A Method for Treating Significant Conformational Changes in Alchemical Free Energy Simulations of Protein-Ligand Binding.

Junzhuo Liao, Alina P Sergeeva, Edward D Harder, Lingle Wang, Jared M Sampson, Barry Honig, Richard A Friesner

Abstract read
In one paragraph

Article in Journal of chemical theory and computation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

4 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

7 authors.

Junzhuo LiaoDepartment of Chemistry, Columbia University, New York, New York 10027, United States.ORCID 0000-0002-6957-9941
Alina P SergeevaDepartment of Systems Biology, Columbia University Medical Center, New York, New York 10032, United States.
Edward D HarderLife Sciences Software, Schrödinger, Inc., New York, New York 10036, United States.ORCID 0000-0001-9213-787X
Lingle WangLife Sciences Software, Schrödinger, Inc., New York, New York 10036, United States.ORCID 0000-0002-8170-6798
Jared M SampsonLife Sciences Software, Schrödinger, Inc., New York, New York 10036, United States.
Barry HonigDepartment of Systems Biology, Columbia University Medical Center, New York, New York 10032, United States.
Richard A FriesnerDepartment of Chemistry, Columbia University, New York, New York 10027, United States.ORCID 0000-0002-1708-9342

Funding

Genome-wide structure-based analysis of protein-protein interactions and networksR35GM139585 · NIGMS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BARRY H HONIG · 2021 to 2026
$2.7M
NIGMS NIH HHS R35 GM139585
6 · The paper itself

Abstract

Relative binding free energy (RBFE) simulation is a rigorous approach to the calculation of quantitatively accurate binding free energy values for protein-ligand binding in which a reference binder is gradually converted to a target binder through alchemical transformation during the simulation. The success of such simulations relies on being able to accurately sample the correct conformational phase space for each alchemical state; however, this becomes a challenge when a significant conformation change occurs between the reference and target binder-receptor complexes. Increasing the simulation time and using enhanced sampling methods can be helpful, but effects can be limited, especially when the free energy barrier between conformations is high or when the correct target complex conformation is difficult to find and maintain. Current RBFE protocols seed the reference complex structure into every alchemical window of the simulation. In our study, we describe an improved protocol in which the reference structure is seeded into the first half of the alchemical windows, and the target structure is seeded into the second half of the alchemical windows. By applying information about the relevant correct end point conformations to different simulation windows from the beginning, the need for large barrier crossings or simulation prediction of the correct structures during an alchemical simulation is in many cases obviated. In the diverse cases we examine below, the simulations yielded free energy predictions that are satisfactory as compared to experiment and superior to running the simulations utilizing the conventional protocol. The method is straightforward to implement for publicly available FEP workflows.

Indexed as

Molecular Dynamics SimulationProtein BindingProteinsThermodynamicsLigandsProtein ConformationLigandsProteins

Identifiers

PMID39331379
PMCPMC11513859

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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.