Evidence map›Paper›PMID 36692215›Full record

ArticleJournal of chemical theory and computation2023

Enhanced Grand Canonical Sampling of Occluded Water Sites Using Nonequilibrium Candidate Monte Carlo.

Oliver J Melling, Marley L Samways, Yunhui Ge, David L Mobley, Jonathan W Essex

Open access · hybridAbstract read
In one paragraph

Article in Journal of chemical theory and computation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
4.5field-weighted citation impact, top 5% of its field
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

25 citing papers in PubMed, 33 citations in OpenAlex.

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  6. Conformationally gated multisite proton-coupled electron transfer in the ribonucleotide reductaseProceedings of the National Academy of Sciences of the United States of America · 2026
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  7. Advancing Medicinal Chemistry Through FMO: Sygnature's Platform.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  8. CHACS omega · 2025
    Article
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  19. Free Energy Density of a Fluid and Its Role in Solvation and Binding.Journal of chemical theory and computation · 2024
    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

5 authors at 2 institutions in 2 countries.

Oliver J MellingSchool of Chemistry, University of Southampton, SouthamptonSO17 1BJ, U.K.ORCID 0000-0001-6243-7433
Marley L SamwaysSchool of Chemistry, University of Southampton, SouthamptonSO17 1BJ, U.K.ORCID 0000-0001-9431-8789
Yunhui GeDepartment of Pharmaceutical Sciences, University of California, Irvine, California92697, United States.ORCID 0000-0002-3946-1440
David L MobleyDepartment of Pharmaceutical Sciences, University of California, Irvine, California92697, United States.ORCID 0000-0002-1083-5533
Jonathan W EssexSchool of Chemistry, University of Southampton, SouthamptonSO17 1BJ, U.K.ORCID 0000-0003-2639-2746
University of Southampton · GBUniversity of California, Irvine · US

Funding

Computational alchemy for molecular design and optimizationR01GM108889 · NIGMS · UNIVERSITY OF CALIFORNIA-IRVINE · PI MOBLEY, DAVID LOWELL · 2014 to 2022
$2.5M
NIGMS NIH HHS R01 GM108889
6 · The paper itself

Abstract

Water molecules play a key role in many biomolecular systems, particularly when bound at protein-ligand interfaces. However, molecular simulation studies on such systems are hampered by the relatively long time scales over which water exchange between a protein and solvent takes place. Grand canonical Monte Carlo (GCMC) is a simulation technique that avoids this issue by attempting the insertion and deletion of water molecules within a given structure. The approach is constrained by low acceptance probabilities for insertions in congested systems, however. To address this issue, here, we combine GCMC with nonequilibium candidate Monte Carlo (NCMC) to yield a method that we refer to as grand canonical nonequilibrium candidate Monte Carlo (GCNCMC), in which the water insertions and deletions are carried out in a gradual, nonequilibrium fashion. We validate this new approach by comparing GCNCMC and GCMC simulations of bulk water and three protein binding sites. We find that not only is the efficiency of the water sampling improved by GCNCMC but that it also results in increased sampling of ligand conformations in a protein binding site, revealing new water-mediated ligand-binding geometries that are not observed using alternative enhanced sampling techniques.

Identifiers

PMID36692215
PMCPMC9933432
OpenAlexW4317871134

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.