Evidence map›Paper›PMID 37166962›Full record

ArticleNucleic acids research2023

PEP-FOLD4: a pH-dependent force field for peptide structure prediction in aqueous solution.

Julien Rey, Samuel Murail, Sjoerd de Vries, Philippe Derreumaux, Pierre Tuffery

Abstract read
In one paragraph

Article in Nucleic acids research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 80 papers.

0numbers the graph read from it
0cells of the map it votes in
80citing 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

80 citing papers in PubMed.

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  8. Optimization of CEST MRI Reporter Protein Design Using Cation-Pi Networks.Chemistry (Weinheim an der Bergstrasse, Germany) · 2026
    Article
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  20. Antimicrobial Potential of Defensin-DerivedInternational journal of molecular sciences · 2026
    Article

20 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.

Julien ReyUniversité Paris Cité, CNRS UMR 8251, INSERM U1133, RPBS, Paris, France.
Samuel MurailUniversité Paris Cité, CNRS UMR 8251, INSERM U1133, RPBS, Paris, France.
Sjoerd de VriesUniversité de Lorraine, CNRS, Inria, LORIA, F-54000, Nancy, France.
Philippe DerreumauxCNRS, Université Paris Cité, UPR 9080, Laboratoire de Biochimie Théorique, Institut de Biologie Physico-Chimique, Fondation Edmond de Rothschild, 13 rue Pierre et Marie Curie, 75005 Paris, France.
Pierre TufferyUniversité Paris Cité, CNRS UMR 8251, INSERM U1133, RPBS, Paris, France.ORCID 0000-0003-1033-9895

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate and fast structure prediction of peptides of less 40 amino acids in aqueous solution has many biological applications, but their conformations are pH- and salt concentration-dependent. In this work, we present PEP-FOLD4 which goes one step beyond many machine-learning approaches, such as AlphaFold2, TrRosetta and RaptorX. Adding the Debye-Hueckel formalism for charged-charged side chain interactions to a Mie formalism for all intramolecular (backbone and side chain) interactions, PEP-FOLD4, based on a coarse-grained representation of the peptides, performs as well as machine-learning methods on well-structured peptides, but displays significant improvements for poly-charged peptides. PEP-FOLD4 is available at http://bioserv.rpbs.univ-paris-diderot.fr/services/PEP-FOLD4. This server is free and there is no login requirement.

Indexed as

PeptidesProteinsSoftwareHydrogen-Ion ConcentrationProtein ConformationPeptidesProteins

Identifiers

PMID37166962
PMCPMC10320157

What OpenQuestion holds

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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.