Evidence map›Paper›PMID 34476063›Full record

ArticleChemical science2021

Covalent flexible peptide docking in Rosetta.

Barr Tivon, Ronen Gabizon, Bente A Somsen, Peter J Cossar, Christian Ottmann, Nir London

Open access · diamondAbstract read
In one paragraph

Article in Chemical science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

16 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Computational Design of Lysine Targeting Covalent Binders Using Rosetta.Journal of chemical information and modeling · 2025
    Article
  6. Covalent Proximity Inducers.Chemical reviews · 2025
    Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. SARS-CoV-2 spike and ACE2 entanglement-like binding.Quantum machine intelligence · 2023
    Article
  13. Peptide-based covalent inhibitors of protein-protein interactions.Journal of peptide science : an official publication of the European Peptide Society · 2023
    Review
  14. Article
  15. VInternational journal of molecular sciences · 2022
    Review
  16. 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 2 countries.

Barr TivonDepartment of Chemical and Structural Biology, The Weizmann Institute of Science Rehovot 7610001 Israel nir.london@weizmann.ac.il.
Ronen GabizonDepartment of Chemical and Structural Biology, The Weizmann Institute of Science Rehovot 7610001 Israel nir.london@weizmann.ac.il.ORCID https://orcid.org/0000-0002-3626-5073
Bente A SomsenLaboratory of Chemical Biology, Department of Biomedical Engineering, Institute for Complex Molecular Systems, Eindhoven University of Technology P.O. Box 513 5600MB Eindhoven The Netherlands.
Peter J CossarLaboratory of Chemical Biology, Department of Biomedical Engineering, Institute for Complex Molecular Systems, Eindhoven University of Technology P.O. Box 513 5600MB Eindhoven The Netherlands.
Christian OttmannLaboratory of Chemical Biology, Department of Biomedical Engineering, Institute for Complex Molecular Systems, Eindhoven University of Technology P.O. Box 513 5600MB Eindhoven The Netherlands.ORCID https://orcid.org/0000-0001-7315-0315
Nir LondonDepartment of Chemical and Structural Biology, The Weizmann Institute of Science Rehovot 7610001 Israel nir.london@weizmann.ac.il.ORCID https://orcid.org/0000-0003-2687-0699
Eindhoven University of Technology · NLWeizmann Institute of Science · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Electrophilic peptides that form an irreversible covalent bond with their target have great potential for binding targets that have been previously considered undruggable. However, the discovery of such peptides remains a challenge. Here, we present Rosetta CovPepDock, a computational pipeline for peptide docking that incorporates covalent binding between the peptide and a receptor cysteine. We applied CovPepDock retrospectively to a dataset of 115 disulfide-bound peptides and a dataset of 54 electrophilic peptides. It produced a top-five scoring, near-native model, in 89% and 100% of the cases when docking from the native conformation, and 20% and 90% when docking from an extended peptide conformation, respectively. In addition, we developed a protocol for designing electrophilic peptide binders based on known non-covalent binders or protein-protein interfaces. We identified 7154 peptide candidates in the PDB for application of this protocol. As a proof-of-concept we validated the protocol on the non-covalent complex of 14-3-3σ and YAP1 phosphopeptide. The protocol identified seven highly potent and selective irreversible peptide binders. The predicted binding mode of one of the peptides was validated using X-ray crystallography. This case-study demonstrates the utility and impact of CovPepDock. It suggests that many new electrophilic peptide binders can be rapidly discovered, with significant potential as therapeutic molecules and chemical probes.

Identifiers

PMID34476063
PMCPMC8372624
OpenAlexW3157455608

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.