Evidence map›Paper›PMID 31444975›Full record

ArticleProteins2019

Template-based modeling by ClusPro in CASP13 and the potential for using co-evolutionary information in docking.

Kathryn A Porter, Dzmitry Padhorny, Israel Desta, Mikhail Ignatov, Dmitri Beglov, Sergei Kotelnikov, Zhuyezi Sun, Andrey Alekseenko, Ivan Anishchenko, Qian Cong and 4 more

Abstract read
In one paragraph

Article in Proteins, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Integrative modeling of guanylate binding protein dimers.Protein science : a publication of the Protein Society · 2023
    Article
  3. Article
  4. Review
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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

14 authors.

Kathryn A PorterDepartment of Biomedical Engineering, Boston University, Boston, Massachusetts.
Dzmitry PadhornyDepartment of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, New York.
Israel DestaDepartment of Biomedical Engineering, Boston University, Boston, Massachusetts.
Mikhail IgnatovDepartment of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, New York.
Dmitri BeglovDepartment of Biomedical Engineering, Boston University, Boston, Massachusetts.
Sergei KotelnikovDepartment of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, New York.
Zhuyezi SunDepartment of Biomedical Engineering, Boston University, Boston, Massachusetts.
Andrey AlekseenkoDepartment of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, New York.
Ivan AnishchenkoDepartment of Biochemistry, University of Washington, Seattle, Washington.
Qian CongDepartment of Biochemistry, University of Washington, Seattle, Washington.
Sergey OvchinnikovCenter for Systems Biology, Harvard University, Cambridge, Massachusetts.
David BakerDepartment of Biochemistry, University of Washington, Seattle, Washington.
Sandor VajdaDepartment of Biomedical Engineering, Boston University, Boston, Massachusetts.
Dima KozakovDepartment of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, New York.ORCID 0000-0003-0464-4500

Funding

TRAINING IN MOLECULAR AND CELLULAR BIOLOGYT32GM007270 · NIGMS · UNIVERSITY OF WASHINGTON · PI RAIBLE, DAVID W · 1985 to 2020
$21.0M
Analysis and Prediction of Molecular InteractionsR35GM118078 · NIGMS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI SANDOR VAJDA · 2016 to 2026
$6.5M
Fast energy evaluation for multi-protein systemsR21GM127952 · NIGMS · STATE UNIVERSITY NEW YORK STONY BROOK · PI KOZAKOV, DMYTRO · 2018 to 2019
$432k
NIGMS NIH HHS R21 GM127952NIGMS NIH HHS R21GM127952NIGMS NIH HHS R35 GM118078NIGMS NIH HHS R35GM118078NIGMS NIH HHS T32 GM007270
6 · The paper itself

Abstract

As a participant in the joint CASP13-CAPRI46 assessment, the ClusPro server debuted its new template-based modeling functionality. The addition of this feature, called ClusPro TBM, was motivated by the previous CASP-CAPRI assessments and by the proven ability of template-based methods to produce higher-quality models, provided templates are available. In prior assessments, ClusPro submissions consisted of models that were produced via free docking of pre-generated homology models. This method was successful in terms of the number of acceptable predictions across targets; however, analysis of results showed that purely template-based methods produced a substantially higher number of medium-quality models for targets for which there were good templates available. The addition of template-based modeling has expanded ClusPro's ability to produce higher accuracy predictions, primarily for homomeric but also for some heteromeric targets. Here we review the newest additions to the ClusPro web server and discuss examples of CASP-CAPRI targets that continue to drive further development. We also describe ongoing work not yet implemented in the server. This includes the development of methods to improve template-based models and the use of co-evolutionary information for data-assisted free docking.

Indexed as

Computational BiologyProtein ConformationSoftwareAlgorithmsBinding SitesDatabases, ProteinHumansMolecular Docking SimulationMolecular Dynamics SimulationProtein Interaction MappingProteinsStructural Homology, ProteinProteinshomology modelingmethod developmentmodeling of protein complexesprotein-protein interactiontemplate-based

Identifiers

PMID31444975
PMCPMC8200321

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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.