Evidence map›Paper›PMID 38176097›Full record

ArticleJournal of chemical information and modeling2024

AMBERff at Scale: Multimillion-Atom Simulations with AMBER Force Fields in NAMD.

Santiago Antolínez, Peter Eugene Jones, James C Phillips, Jodi A Hadden-Perilla

Abstract read
In one paragraph

Article in Journal of chemical information and modeling, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. 6-(2-Aminoethyl)-6Biomolecules · 2026
    Article
  3. Article
  4. AnCurrent drug targets · 2026
    Article
  5. Article
  6. Review
  7. Article
  8. All-atom MD simulations of the HPV16 capsid.bioRxiv : the preprint server for biology · 2025
    Article
  9. Review
  10. Review
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

4 authors.

Santiago AntolínezDepartment of Chemistry and Biochemistry, University of Delaware, Newark, Delaware 19716, United States.ORCID 0009-0006-9415-9873
Peter Eugene JonesDepartment of Chemistry and Biochemistry, University of Delaware, Newark, Delaware 19716, United States.ORCID 0000-0003-1795-2051
James C PhillipsNational Center for Supercomputing Applications, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, United States.ORCID 0000-0002-2296-3591
Jodi A Hadden-PerillaDepartment of Chemistry and Biochemistry, University of Delaware, Newark, Delaware 19716, United States.ORCID 0000-0003-4685-8291

Funding

Predictive Modeling & Optimal Control Framework for Model-Based Epidemic Response in DelawareP20GM103446 · NIGMS · UNIVERSITY OF DELAWARE · PI Shawn W Polson · 2012 to 2026
$67.2M
Data Management and Storage System for Shared Resource FacilitiesS10OD028725 · OD · UNIVERSITY OF DELAWARE · PI POLSON, SHAWN W · 2021 to 2021
$600k
NIGMS NIH HHS P20 GM103446NIH HHS S10 OD028725
6 · The paper itself

Abstract

All-atom molecular dynamics (MD) simulations are an essential structural biology technique with increasing application to multimillion-atom systems, including viruses and cellular machinery. Classical MD simulations rely on parameter sets, such as the AMBER family of force fields (AMBERff), to accurately describe molecular motion. Here, we present an implementation of AMBERff for use in NAMD that overcomes previous limitations to enable high-performance, massively parallel simulations encompassing up to two billion atoms. Single-point potential energy comparisons and case studies on model systems demonstrate that the implementation produces results that are as accurate as running AMBERff in its native engine.

Identifiers

PMID38176097
PMCPMC10806814

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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.