Evidence map›Paper›PMID 32142178›Full record

ArticleProteins2020

ClusPro in rounds 38 to 45 of CAPRI: Toward combining template-based methods with free docking.

Dzmitry Padhorny, Kathryn A Porter, Mikhail Ignatov, Andrey Alekseenko, Dmitri Beglov, Sergei Kotelnikov, Ryota Ashizawa, Israel Desta, Nawsad Alam, Zhuyezi Sun and 5 more

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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. MELD in Action: Harnessing Data to Accelerate Molecular Dynamics.Journal of chemical information and modeling · 2025
    Review
  3. Review
  4. Article
  5. 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

15 authors.

Dzmitry PadhornyDepartment of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, New York, USA.
Kathryn A PorterDepartment of Biomedical Engineering, Boston University, Boston, Massachusetts, USA.
Mikhail IgnatovDepartment of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, New York, USA.
Andrey AlekseenkoDepartment of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, New York, USA.
Dmitri BeglovDepartment of Biomedical Engineering, Boston University, Boston, Massachusetts, USA.
Sergei KotelnikovDepartment of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, New York, USA.
Ryota AshizawaDepartment of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, New York, USA.
Israel DestaDepartment of Biomedical Engineering, Boston University, Boston, Massachusetts, USA.
Nawsad AlamDepartment of Microbiology and Molecular Genetics, Institute for Medical Research Israel-Canada, Faculty of Medicine, The Hebrew University, Jerusalem, Israel.
Zhuyezi SunDepartment of Biomedical Engineering, Boston University, Boston, Massachusetts, USA.
Emiliano BriniLaufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, New York, USA.
Ken DillLaufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, New York, USA.
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
Sandor VajdaDepartment of Biomedical Engineering, Boston University, Boston, Massachusetts, USA.ORCID 0000-0003-1540-8220
Dima KozakovDepartment of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, New York, USA.ORCID 0000-0003-0464-4500

Funding

Analysis and Prediction of Molecular InteractionsR35GM118078 · NIGMS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI SANDOR VAJDA · 2016 to 2026
$6.5M
MELD: accelerating MD modeling of proteins using Bayesian inferenceR01GM125813 · NIGMS · STATE UNIVERSITY NEW YORK STONY BROOK · PI DILL, KEN A · 2018 to 2021
$1.3M
Fast energy evaluation for multi-protein systemsR21GM127952 · NIGMS · STATE UNIVERSITY NEW YORK STONY BROOK · PI KOZAKOV, DMYTRO · 2018 to 2019
$432k
NIGMS NIH HHS R01 GM125813NIGMS NIH HHS R21 GM127952NIGMS NIH HHS R21GM127952NIGMS NIH HHS R35 GM118078NIGMS NIH HHS R35GM118078
6 · The paper itself

Abstract

Targets in the protein docking experiment CAPRI (Critical Assessment of Predicted Interactions) generally present new challenges and contribute to new developments in methodology. In rounds 38 to 45 of CAPRI, most targets could be effectively predicted using template-based methods. However, the server ClusPro required structures rather than sequences as input, and hence we had to generate and dock homology models. The available templates also provided distance restraints that were directly used as input to the server. We show here that such an approach has some advantages. Free docking with template-based restraints using ClusPro reproduced some interfaces suggested by weak or ambiguous templates while not reproducing others, resulting in correct server predicted models. More recently we developed the fully automated ClusPro TBM server that performs template-based modeling and thus can use sequences rather than structures of component proteins as input. The performance of the server, freely available for noncommercial use at https://tbm.cluspro.org, is demonstrated by predicting the protein-protein targets of rounds 38 to 45 of CAPRI.

Indexed as

Molecular Docking SimulationSoftwareAmino Acid SequenceBenchmarkingBinding SitesHumansLigandsPeptidesProtein BindingProtein Conformation, alpha-HelicalProtein Conformation, beta-StrandProtein Interaction Domains and MotifsProtein Interaction MappingProtein MultimerizationProteinsResearch DesignLigandsPeptidesProteinsambiguous templatesdocking serverhomology modelingprotein-peptide complexesprotein-protein complexestemplate selection

Identifiers

PMID32142178
PMCPMC7874234

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.