Evidence map›Paper›PMID 33686853›Full record

ArticleJournal of chemical information and modeling2021

A Benchmark of Electrostatic Method Performance in Relative Binding Free Energy Calculations.

Yunhui Ge, David F Hahn, David L Mobley

Abstract readLetter
In one paragraph

Article in Journal of chemical information and modeling, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Novel Allosteric Effectors Targeting Human Transcription Factor TEAD.International journal of molecular sciences · 2023
    Article
  7. Article
  8. Article
  9. Absolute Binding Free Energy Calculations for Buried Water Molecules.Journal of chemical theory and computation · 2022
    Article
  10. Article
  11. Article
  12. 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

3 authors.

Yunhui GeDepartment of Pharmaceutical Sciences, University of California, Irvine, California 92697, United States.ORCID 0000-0002-3946-1440
David F HahnComputational Chemistry, Janssen Research & Development, Turnhoutseweg 30, Beerse B-2340, Belgium.
David L MobleyDepartment of Pharmaceutical Sciences, University of California, Irvine, California 92697, United States.ORCID 0000-0002-1083-5533

Funding

Univ.of Calif., Irvine Cancer Center Support GrantP30CA062203 · NCI · UNIVERSITY OF CALIFORNIA-IRVINE · PI Christine Hui · 1994 to 2026
$57.9M
Open data-driven infrastructure for building biomolecular force fields for predictive biophysics and drug designR01GM132386 · NIGMS · UNIVERSITY OF COLORADO · PI SHIRTS, MICHAEL R · 2020 to 2023
$3.1M
Computational alchemy for molecular design and optimizationR01GM108889 · NIGMS · UNIVERSITY OF CALIFORNIA-IRVINE · PI MOBLEY, DAVID LOWELL · 2014 to 2022
$2.5M
NCI NIH HHS P30 CA062203NIGMS NIH HHS R01 GM108889NIGMS NIH HHS R01 GM132386
6 · The paper itself

Abstract

Relative free energy calculations are fast becoming a critical part of early stage pharmaceutical design, making it important to know how to obtain the best performance with these calculations in applications that could span hundreds of calculations and molecules. In this work, we compared two different treatments of long-range electrostatics, Particle Mesh Ewald (PME) and Reaction Field (RF), in relative binding free energy calculations using a nonequilibrium switching protocol. We found simulations using RF achieve comparable results to those using PME but gain more efficiency when using CPU and similar performance using GPU. The results from this work encourage more use of RF in molecular simulations.

Indexed as

Static Electricity

Identifiers

PMID33686853
PMCPMC8208087

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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.