Literature DB >> 28905425

Modeling CAPRI targets 110-120 by template-based and free docking using contact potential and combined scoring function.

Petras J Kundrotas1, Ivan Anishchenko1, Varsha D Badal1, Madhurima Das1, Taras Dauzhenka1, Ilya A Vakser1.   

Abstract

The paper presents analysis of our template-based and free docking predictions in the joint CASP12/CAPRI37 round. A new scoring function for template-based docking was developed, benchmarked on the Dockground resource, and applied to the targets. The results showed that the function successfully discriminates the incorrect docking predictions. In correctly predicted targets, the scoring function was complemented by other considerations, such as consistency of the oligomeric states among templates, similarity of the biological functions, biological interface relevance, etc. The scoring function still does not distinguish well biological from crystal packing interfaces, and needs further development for the docking of bundles of α-helices. In the case of the trimeric targets, sequence-based methods did not find common templates, despite similarity of the structures, suggesting complementary use of structure- and sequence-based alignments in comparative docking. The results showed that if a good docking template is found, an accurate model of the interface can be built even from largely inaccurate models of individual subunits. Free docking however is very sensitive to the quality of the individual models. However, our newly developed contact potential detected approximate locations of the binding sites.
© 2017 Wiley Periodicals, Inc.

Entities:  

Keywords:  modeling of protein complexes; protein recognition; protein-protein interactions; structure prediction

Mesh:

Substances:

Year:  2017        PMID: 28905425      PMCID: PMC5820180          DOI: 10.1002/prot.25380

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  40 in total

1.  The packing density in proteins: standard radii and volumes.

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Review 4.  Development of novel statistical potentials for protein fold recognition.

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Journal:  Curr Opin Struct Biol       Date:  2004-04       Impact factor: 6.809

5.  Scoring function for automated assessment of protein structure template quality.

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Journal:  Proteins       Date:  2004-12-01

6.  Molecular surface recognition: determination of geometric fit between proteins and their ligands by correlation techniques.

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7.  HHblits: lightning-fast iterative protein sequence searching by HMM-HMM alignment.

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8.  Templates are available to model nearly all complexes of structurally characterized proteins.

Authors:  Petras J Kundrotas; Zhengwei Zhu; Joël Janin; Ilya A Vakser
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9.  Global and local structural similarity in protein-protein complexes: implications for template-based docking.

Authors:  Petras J Kundrotas; Ilya A Vakser
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10.  Simulated unbound structures for benchmarking of protein docking in the DOCKGROUND resource.

Authors:  Tatsiana Kirys; Anatoly M Ruvinsky; Deepak Singla; Alexander V Tuzikov; Petras J Kundrotas; Ilya A Vakser
Journal:  BMC Bioinformatics       Date:  2015-07-31       Impact factor: 3.169

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  15 in total

1.  Integrating ab initio and template-based algorithms for protein-protein complex structure prediction.

Authors:  Sweta Vangaveti; Thom Vreven; Yang Zhang; Zhiping Weng
Journal:  Bioinformatics       Date:  2020-02-01       Impact factor: 6.937

2.  Gene ontology improves template selection in comparative protein docking.

Authors:  Anna Hadarovich; Ivan Anishchenko; Alexander V Tuzikov; Petras J Kundrotas; Ilya A Vakser
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3.  Contact Potential for Structure Prediction of Proteins and Protein Complexes from Potts Model.

Authors:  Ivan Anishchenko; Petras J Kundrotas; Ilya A Vakser
Journal:  Biophys J       Date:  2018-08-08       Impact factor: 4.033

4.  Application of docking methodologies to modeled proteins.

Authors:  Amar Singh; Taras Dauzhenka; Petras J Kundrotas; Michael J E Sternberg; Ilya A Vakser
Journal:  Proteins       Date:  2020-03-20

5.  Sampling and refinement protocols for template-based macrocycle docking: 2018 D3R Grand Challenge 4.

Authors:  Sergei Kotelnikov; Andrey Alekseenko; Cong Liu; Mikhail Ignatov; Dzmitry Padhorny; Emiliano Brini; Mark Lukin; Evangelos Coutsias; Ken A Dill; Dima Kozakov
Journal:  J Comput Aided Mol Des       Date:  2019-12-26       Impact factor: 3.686

6.  How to choose templates for modeling of protein complexes: Insights from benchmarking template-based docking.

Authors:  Devlina Chakravarty; G W McElfresh; Petras J Kundrotas; Ilya A Vakser
Journal:  Proteins       Date:  2020-02-07

Review 7.  Computational approaches to macromolecular interactions in the cell.

Authors:  Ilya A Vakser; Eric J Deeds
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8.  HMI-PRED: A Web Server for Structural Prediction of Host-Microbe Interactions Based on Interface Mimicry.

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Journal:  J Mol Biol       Date:  2020-02-13       Impact factor: 5.469

9.  Inhibition of protein interactions: co-crystalized protein-protein interfaces are nearly as good as holo proteins in rigid-body ligand docking.

Authors:  Saveliy Belkin; Petras J Kundrotas; Ilya A Vakser
Journal:  J Comput Aided Mol Des       Date:  2018-07-12       Impact factor: 3.686

10.  ClusPro LigTBM: Automated Template-based Small Molecule Docking.

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Journal:  J Mol Biol       Date:  2019-12-19       Impact factor: 5.469

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