Evidence map›Paper›PMID 37093676›Full record

ArticleJournal of computational chemistry2023

GPU-specific algorithms for improved solute sampling in grand canonical Monte Carlo simulations.

Mingtian Zhao, Abhishek A Kognole, Sunhwan Jo, Aoxiang Tao, Anthony Hazel, Alexander D MacKerell

Open access · bronzeAbstract read
In one paragraph

Article in Journal of computational chemistry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.0field-weighted citation impact, top 8% 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

7 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Computational Ligand-Binding Site Prediction.Advances in experimental medicine and biology · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. 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 at 2 institutions in 1 country.

Mingtian ZhaoComputer Aided Drug Design Center, Department of Pharmaceutical Sciences, University of Maryland School of Pharmacy, Baltimore, Maryland, USA.
Abhishek A KognoleSilcsBio LLC, Baltimore, Maryland, USA.
Sunhwan JoSilcsBio LLC, Baltimore, Maryland, USA.
Aoxiang TaoSilcsBio LLC, Baltimore, Maryland, USA.ORCID https://orcid.org/0000-0001-5264-8907
Anthony HazelComputer Aided Drug Design Center, Department of Pharmaceutical Sciences, University of Maryland School of Pharmacy, Baltimore, Maryland, USA.
Alexander D MacKerellComputer Aided Drug Design Center, Department of Pharmaceutical Sciences, University of Maryland School of Pharmacy, Baltimore, Maryland, USA.ORCID https://orcid.org/0000-0001-8287-6804
SilcsBio (United States) · USUniversity of Maryland, Baltimore · US

Funding

Macromolecular Conformational HeterogeneityR35GM131710 · NIGMS · UNIVERSITY OF MARYLAND BALTIMORE · PI ALEXANDER D MACKERELL · 2019 to 2026
$6.2M
NIGMS NIH HHS R35 GM131710NIH HHS R35GM131710
6 · The paper itself

Abstract

The Grand Canonical Monte Carlo (GCMC) ensemble defined by the excess chemical potential, μ

Indexed as

chemical potentialcomputer-aided drug designco-solvent molecular dynamicsenhanced solute samplingSILCS

Identifiers

PMID37093676
PMCPMC10330275
OpenAlexW4366822674

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.