Evidence map›Paper›PMID 33206520›Full record

ArticleJournal of chemical theory and computation2020

Accounting for the Central Role of Interfacial Water in Protein-Ligand Binding Free Energy Calculations.

Ido Y Ben-Shalom, Zhixiong Lin, Brian K Radak, Charles Lin, Woody Sherman, Michael K Gilson

Abstract read
In one paragraph

Article in Journal of chemical theory and computation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Automated Adaptive Absolute Binding Free Energy Calculations.Journal of chemical theory and computation · 2024
    Article
  10. Article
  11. Free Energy Density of a Fluid and Its Role in Solvation and Binding.Journal of chemical theory and computation · 2024
    Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Absolute Binding Free Energy Calculations for Buried Water Molecules.Journal of chemical theory and computation · 2022
    Article
  17. Article
  18. Article
  19. Article
  20. Article
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

6 authors.

Ido Y Ben-ShalomSkaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, 92093 La Jolla, California, United States.ORCID http://orcid.org/0000-0002-7237-1690
Zhixiong LinSilicon Therapeutics LLC, Boston, Massachusetts 02110, United States.
Brian K RadakSilicon Therapeutics LLC, Boston, Massachusetts 02110, United States.ORCID http://orcid.org/0000-0001-8628-5972
Charles LinSilicon Therapeutics LLC, Boston, Massachusetts 02110, United States.ORCID http://orcid.org/0000-0002-5461-6690
Woody ShermanSilicon Therapeutics LLC, Boston, Massachusetts 02110, United States.ORCID http://orcid.org/0000-0001-9079-1376
Michael K GilsonSkaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, 92093 La Jolla, California, United States.ORCID http://orcid.org/0000-0002-3375-1738

Funding

THEORY AND MODELING OF NONCOVALENT BINDINGR01GM061300 · NIGMS · UNIVERSITY OF MD BIOTECHNOLOGY INSTITUTE · PI GILSON, MICHAEL K. · 2000 to 2021
$7.2M
Accounting for Water Structure and Thermodynamics in Computer-Aided Drug DesignR01GM100946 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KURTZMAN, THOMAS PHILIP · 2013 to 2021
$2.7M
NIGMS NIH HHS R01 GM061300NIGMS NIH HHS R01 GM100946
6 · The paper itself

Abstract

Rigorous binding free energy methods in drug discovery are growing in popularity because of a combination of methodological advances, improvements in computer hardware, and workflow automation. These calculations typically use molecular dynamics (MD) to sample from the Boltzmann distribution of conformational states. However, when part or all of the binding sites is inaccessible to the bulk solvent, the time needed for water molecules to equilibrate between bulk solvent and the binding site can be well beyond what is practical with standard MD. This sampling limitation is problematic in relative binding free energy calculations, which compute the reversible work of converting ligand 1 to ligand 2 within the binding site. Thus, if ligand 1 is smaller and/or more polar than ligand 2, the perturbation may allow additional water molecules to occupy a region of the binding site. However, this change in hydration may not be captured by standard MD simulations and may therefore lead to errors in the computed free energy. We recently developed a hybrid Monte Carlo/MD (MC/MD) method, which speeds up the equilibration of water between bulk solvent and buried cavities, while sampling from the intended distribution of states. Here, we report on the use of this approach in the context of alchemical binding free energy calculations. We find that using MC/MD markedly improves the accuracy of the calculations and also reduces hysteresis between the forward and reverse perturbations, relative to matched calculations using only MD with or without the crystallographic water molecules. The present method is available for use in AMBER simulation software.

Indexed as

Molecular Dynamics SimulationThermodynamicsBinding SitesLigandsMolecular StructureProteinsWaterLigandsProteinsWater

Identifiers

PMID33206520
PMCPMC7725968

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Registered trials

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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.