Evidence map›Paper›PMID 29281622›Full record

ArticlePLoS computational biology2017

High-resolution global peptide-protein docking using fragments-based PIPER-FlexPepDock.

Nawsad Alam, Oriel Goldstein, Bing Xia, Kathryn A Porter, Dima Kozakov, Ora Schueler-Furman

Abstract readValidation Study
In one paragraph

Article in PLoS computational biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 78 papers.

0numbers the graph read from it
0cells of the map it votes in
78citing 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

78 citing papers in PubMed.

  1. Article
  2. Computationally Evidence-Grounded Sequence-First Design of Peptide Binders.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  3. Strategic Template Filtering Accelerates Fragment-Based Peptide Docking.Journal of chemical information and modeling · 2026
    Article
  4. Article
  5. Article
  6. Peptide-protein docking: from physics-based models to generative intelligence.Chemical communications (Cambridge, England) · 2026
    Review
  7. Review
  8. Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. Flexible Docking of Cyclic Peptides to Proteins Using CABS-dock.Journal of chemical theory and computation · 2025
    Article
  15. Review
  16. Article
  17. Article
  18. Review
  19. Protein-Peptide Docking with ESMFold Language Model.Journal of chemical theory and computation · 2025
    Article
  20. Article

18 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

6 authors.

Nawsad AlamDepartment of Microbiology and Molecular Genetics, Institute for Medical Research Israel-Canada, Faculty of Medicine, The Hebrew University, Jerusalem, Israel.ORCID 0000-0002-1063-2373
Oriel GoldsteinSchool of Computer Sciences and Engineering, The Hebrew University, Jerusalem, Israel.
Bing XiaDepartment of Biomedical Engineering, Boston University, Boston, Massachusetts, United States of America.
Kathryn A PorterDepartment of Biomedical Engineering, Boston University, Boston, Massachusetts, United States of America.
Dima KozakovDepartment of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, New York, United States of America.
Ora Schueler-FurmanDepartment of Microbiology and Molecular Genetics, Institute for Medical Research Israel-Canada, Faculty of Medicine, The Hebrew University, Jerusalem, Israel.ORCID 0000-0002-1624-0362

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Peptide-protein interactions contribute a significant fraction of the protein-protein interactome. Accurate modeling of these interactions is challenging due to the vast conformational space associated with interactions of highly flexible peptides with large receptor surfaces. To address this challenge we developed a fragment based high-resolution peptide-protein docking protocol. By streamlining the Rosetta fragment picker for accurate peptide fragment ensemble generation, the PIPER docking algorithm for exhaustive fragment-receptor rigid-body docking and Rosetta FlexPepDock for flexible full-atom refinement of PIPER docked models, we successfully addressed the challenge of accurate and efficient global peptide-protein docking at high-resolution with remarkable accuracy, as validated on a small but representative set of peptide-protein complex structures well resolved by X-ray crystallography. Our approach opens up the way to high-resolution modeling of many more peptide-protein interactions and to the detailed study of peptide-protein association in general. PIPER-FlexPepDock is freely available to the academic community as a server at http://piperfpd.furmanlab.cs.huji.ac.il.

Indexed as

AlgorithmsComputational BiologyComputer SimulationCrystallography, X-RayModels, MolecularMolecular Docking SimulationMolecular Dynamics SimulationPeptide FragmentsProtein ConformationProtein Interaction MappingSoftwarePeptide Fragments

Identifiers

PMID29281622
PMCPMC5760072

What OpenQuestion holds

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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.