Evidence map›Paper›PMID 28430871›Full record

ArticleBioinformatics (Oxford, England)2017

ClusPro PeptiDock: efficient global docking of peptide recognition motifs using FFT.

Kathryn A Porter, Bing Xia, Dmitri Beglov, Tanggis Bohnuud, Nawsad Alam, Ora Schueler-Furman, Dima Kozakov

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In one paragraph

Article in Bioinformatics (Oxford, England), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

65 citing papers in PubMed.

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  18. Molecular Dynamics Simulations in Protein-Protein Docking.Methods in molecular biology (Clifton, N.J.) · 2024
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  19. Review
  20. Article

5 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

7 authors.

Kathryn A PorterDepartment of Biomedical Engineering, Boston University, Boston, MA 02215, USA.
Bing XiaDepartment of Biomedical Engineering, Boston University, Boston, MA 02215, USA.
Dmitri BeglovDepartment of Biomedical Engineering, Boston University, Boston, MA 02215, USA.
Tanggis BohnuudDepartment of Biomedical Engineering, Boston University, Boston, MA 02215, USA.
Nawsad AlamDepartment of Microbiology, Hebrew University, Jerusalem 91120, Israel.
Ora Schueler-FurmanDepartment of Microbiology, Hebrew University, Jerusalem 91120, Israel.
Dima KozakovDepartment of Applied Mathematics and Statistics.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

summaryWe present an approach for the efficient docking of peptide motifs to their free receptor structures. Using a motif based search, we can retrieve structural fragments from the Protein Data Bank (PDB) that are very similar to the peptide's final, bound conformation. We use a Fast Fourier Transform (FFT) based docking method to quickly perform global rigid body docking of these fragments to the receptor. According to CAPRI peptide docking criteria, an acceptable conformation can often be found among the top-ranking predictions. AVAILABILITY AND IMPLEMENTATION: The method is available as part of the protein-protein docking server ClusPro at https://peptidock.cluspro.org/nousername.php. CONTACT: midas@laufercenter.org or oraf@ekmd.huji.ac.il. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

Protein ConformationProtein Interaction Domains and MotifsSoftwareAlgorithmsComputational BiologyCyclinsDatabases, ProteinFourier AnalysisMolecular Docking SimulationPeptidesCyclinsPeptides

Identifiers

PMID28430871
PMCPMC5860028

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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.