Evidence map›Paper›PMID 28618232›Full record

ArticleJournal of chemical theory and computation2017

Toward Fast and Accurate Binding Affinity Prediction with pmemdGTI: An Efficient Implementation of GPU-Accelerated Thermodynamic Integration.

Tai-Sung Lee, Yuan Hu, Brad Sherborne, Zhuyan Guo, Darrin M York

Abstract read
In one paragraph

Article in Journal of chemical theory and computation, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers.

0numbers the graph read from it
0cells of the map it votes in
62citing 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

62 citing papers in PubMed.

  1. Article
  2. Article
  3. Recent Developments in Amber Biomolecular Simulations.Journal of chemical information and modeling · 2025
    Article
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  20. ACES: Optimized Alchemically Enhanced Sampling.Journal of chemical theory and computation · 2023
    Article

2 more citing papers are in PubMed but not listed here.

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.

Tai-Sung LeeLaboratory for Biomolecular Simulation Research, Center for Integrative Proteomics Research and Department of Chemistry and Chemical Biology, Rutgers University , Piscataway, New Jersey 08854, United States.
Yuan HuDepartment of Chemistry, Modeling and Informatics, Merck Research Laboratories, 2000 Galloping Hill Road, Kenilworth, New Jersey 07033, United States.ORCID http://orcid.org/0000-0002-1014-6594
Brad SherborneDepartment of Chemistry, Modeling and Informatics, Merck Research Laboratories, 2000 Galloping Hill Road, Kenilworth, New Jersey 07033, United States.ORCID http://orcid.org/0000-0002-0037-3427
Zhuyan GuoDepartment of Chemistry, Modeling and Informatics, Merck Research Laboratories, 2000 Galloping Hill Road, Kenilworth, New Jersey 07033, United States.
Darrin M YorkLaboratory for Biomolecular Simulation Research, Center for Integrative Proteomics Research and Department of Chemistry and Chemical Biology, Rutgers University , Piscataway, New Jersey 08854, United States.ORCID http://orcid.org/0000-0002-9193-7055

Funding

Next-generation integrated quantum force fields for biomedical applicationsR01GM107485 · NIGMS · RUTGERS, THE STATE UNIV OF N.J. · PI Darrin M York · 2015 to 2026
$3.8M
NIGMS NIH HHS R01 GM107485
6 · The paper itself

Abstract

We report the implementation of the thermodynamic integration method on the pmemd module of the AMBER 16 package on GPUs (pmemdGTI). The pmemdGTI code typically delivers over 2 orders of magnitude of speed-up relative to a single CPU core for the calculation of ligand-protein binding affinities with no statistically significant numerical differences and thus provides a powerful new tool for drug discovery applications.

Indexed as

Drug DesignSoftwareComputer-Aided DesignComputer GraphicsFactor XaHumansLigandsMolecular Dynamics SimulationProtein BindingThermodynamicsFactor XaLigands

Identifiers

PMID28618232
PMCPMC5843186

What OpenQuestion holds

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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.