Literature DB >> 27771482

ClusPro-DC: Dimer Classification by the Cluspro Server for Protein-Protein Docking.

Christine Yueh1, David R Hall2, Bing Xia1, Dzmitry Padhorny3, Dima Kozakov4, Sandor Vajda5.   

Abstract

ClusPro-DC (https://cluspro.bu.edu/) implements a straightforward approach to the discrimination between crystallographic and biological dimers by docking the two subunits to exhaustively sample the interaction energy landscape. If a substantial number of low energy docked poses cluster in a narrow vicinity of the native structure of the dimer, then one can assume that there is a well-defined free energy well around the native state, which makes the interaction stable. In contrast, if the interaction sites in the docked poses do not form a large enough cluster around the native structure, then it is unlikely that the subunits form a stable biological dimer. The number of near-native structures is used to estimate the probability of a dimer being biological. Currently, the server examines only the stability of a given interface rather than generating all putative quaternary structures as accomplished by PISA or EPPIC, but it complements the information provided by these methods.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  biological dimer; crystallographic dimer; energy landscape; interface discrimination; solution structure

Mesh:

Substances:

Year:  2016        PMID: 27771482      PMCID: PMC5538892          DOI: 10.1016/j.jmb.2016.10.019

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


  24 in total

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5.  IChemPIC: A Random Forest Classifier of Biological and Crystallographic Protein-Protein Interfaces.

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6.  How good is automated protein docking?

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7.  DiMoVo: a Voronoi tessellation-based method for discriminating crystallographic and biological protein-protein interactions.

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Review 9.  Understanding the fabric of protein crystals: computational classification of biological interfaces and crystal contacts.

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