Evidence map›Paper›PMID 38785765›Full record

ArticleThe journal of physical chemistry. B2024

Assessing the Performance of Peptide Force Fields for Modeling the Solution Structural Ensembles of Cyclic Peptides.

Jiayuan Miao, Arghya Pratim Ghosh, Minh Ngoc Ho, Chengxi Li, Xuejian Huang, Bradley L Pentelute, James D Baleja, Yu-Shan Lin

Abstract read
In one paragraph

Article in The journal of physical chemistry. B, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Antibody-drug conjugate engineering: from design to efficacy and safety.Signal transduction and targeted therapy · 2026
    Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. CyclicMPNN: Stable Cyclic Peptide Sequence Generation.bioRxiv : the preprint server for biology · 2026
    Article
  7. Peptide-based drug design using generative AI.Chemical communications (Cambridge, England) · 2026
    Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. 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

8 authors.

Jiayuan MiaoDepartment of Chemistry, Tufts University, Medford, Massachusetts 02155, United States.ORCID 0000-0003-1112-1927
Arghya Pratim GhoshDepartment of Chemistry, Tufts University, Medford, Massachusetts 02155, United States.
Minh Ngoc HoDepartment of Chemistry, Tufts University, Medford, Massachusetts 02155, United States.ORCID 0009-0000-8054-0362
Chengxi LiDepartment of Chemistry, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States.
Xuejian HuangGraduate Program in Pharmacology and Experimental Therapeutics, Graduate School of Biomedical Sciences, Tufts University, Boston, Massachusetts 02111, United States.
Bradley L PenteluteDepartment of Chemistry, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States.ORCID 0000-0002-7242-801X
James D BalejaGraduate Program in Pharmacology and Experimental Therapeutics, Graduate School of Biomedical Sciences, Tufts University, Boston, Massachusetts 02111, United States.ORCID 0000-0003-4841-0247
Yu-Shan LinDepartment of Chemistry, Tufts University, Medford, Massachusetts 02155, United States.ORCID 0000-0001-6460-2877

Funding

Resource for Biocomputing Visualization and InformaticsP41GM103311 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI FERRIN, THOMAS E · 2012 to 2017
$8.2M
Understanding and Designing Cyclic PeptidesR01GM124160 · NIGMS · TUFTS UNIVERSITY MEDFORD · PI Yu-Shan Lin · 2017 to 2026
$3.2M
NIGMS NIH HHS P41 GM103311NIGMS NIH HHS R01 GM124160
6 · The paper itself

Abstract

Molecular dynamics simulation is a powerful tool for characterizing the solution structural ensembles of cyclic peptides. However, the ability of simulation to recapitulate experimental results and make accurate predictions largely depends on the force fields used. In our work here, we evaluate the performance of seven state-of-the-art force fields in recapitulating the experimental NMR results in water of 12 benchmark cyclic peptides, consisting of 6 cyclic pentapeptides, 4 cyclic hexapeptides, and 2 cyclic heptapeptides. The results show that RSFF2+TIP3P, RSFF2C+TIP3P, and Amber14SB+TIP3P exhibit similar and the best performance, all recapitulating the NMR-derived structure information on 10 cyclic peptides. Amber19SB+OPC successfully recapitulates the NMR-derived structure information on 8 cyclic peptides. In contrast, OPLS-AA/M+TIP4P, Amber03+TIP3P, and Amber14SBonlysc+GB-neck2 could only recapitulate the NMR-derived structure information on 5 cyclic peptides, the majority of which are not well-structured.

Indexed as

Molecular Dynamics SimulationPeptides, CyclicMagnetic Resonance SpectroscopyNuclear Magnetic Resonance, BiomolecularProtein ConformationSolutionsPeptides, CyclicSolutions

Identifiers

PMID38785765
PMCPMC11163431

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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.