Evidence map›Paper›PMID 31994784›Full record

ArticleProteins2020

Performance of ZDOCK and IRAD in CAPRI rounds 39-45.

Thom Vreven, Sweta Vangaveti, Tyler M Borrman, Jennifer C Gaines, Zhiping Weng

Abstract read
In one paragraph

Article in Proteins, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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.

Thom VrevenProgram in Bioinformatics and Integrative Biology, University of Massachusetts Medical School, Worcester, Massachusetts.ORCID 0000-0003-3413-806X
Sweta VangavetiProgram in Bioinformatics and Integrative Biology, University of Massachusetts Medical School, Worcester, Massachusetts.
Tyler M BorrmanProgram in Bioinformatics and Integrative Biology, University of Massachusetts Medical School, Worcester, Massachusetts.
Jennifer C GainesProgram in Bioinformatics and Integrative Biology, University of Massachusetts Medical School, Worcester, Massachusetts.
Zhiping WengProgram in Bioinformatics and Integrative Biology, University of Massachusetts Medical School, Worcester, Massachusetts.ORCID 0000-0002-3032-7966

Funding

Template-based docking refinement approach to protein-protein structure modelingR01GM116960 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ZHANG, YANG · 2016 to 2019
$1.4M
NIGMS NIH HHS GM116960NIGMS NIH HHS R01 GM116960
6 · The paper itself

Abstract

We report docking performance on the six targets of Critical Assessment of PRedicted Interactions (CAPRI) rounds 39-45 that involved heteromeric protein-protein interactions and had the solved structures released since the rounds were held. Our general strategy involved protein-protein docking using ZDOCK, reranking using IRAD, and structural refinement using Rosetta. In addition, we made extensive use of experimental data to guide our docking runs. All the experimental information at the amino-acid level proved correct. However, for two targets, we also used protein-complex structures as templates for modeling interfaces. These resulted in incorrect predictions, presumably due to the low sequence identity between the targets and templates. Albeit a small number of targets, the performance described here compared somewhat less favorably with our previous CAPRI reports, which may be due to the CAPRI targets being increasingly challenging.

Indexed as

Molecular Docking SimulationSoftwareAmino Acid SequenceBinding SitesHumansLigandsPeptidesProtein BindingProtein Conformation, alpha-HelicalProtein Conformation, beta-StrandProtein Interaction Domains and MotifsProtein Interaction MappingProtein MultimerizationProteinsResearch DesignStructural Homology, ProteinLigandsPeptidesProteinscomplexdockingprotein-protein interactionstructureZRANK

Identifiers

PMID31994784
PMCPMC7374054

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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.