Literature DB >> 25697908

CapsidMaps: protein-protein interaction pattern discovery platform for the structural analysis of virus capsids using Google Maps.

Mauricio Carrillo-Tripp1, Daniel Jorge Montiel-García2, Charles L Brooks3, Vijay S Reddy4.   

Abstract

Structural analysis and visualization of protein-protein interactions is a challenging task since it is difficult to appreciate easily the extent of all contacts made by the residues forming the interfaces. In the case of viruses, structural analysis becomes even more demanding because several interfaces coexist and, in most cases, these are formed by hundreds of contacting residues that belong to multiple interacting coat proteins. CapsidMaps is an interactive analysis and visualization tool that is designed to benefit the structural virology community. Developed as an improved extension of the φ-ψ Explorer, here we describe the details of its design and implementation. We present results of analysis of a spherical virus to showcase the features and utility of the new tool. CapsidMaps also facilitates the comparison of quaternary interactions between two spherical virus particles by computing a similarity (S)-score. The tool can also be used to identify residues that are solvent exposed and in the process of locating antigenic epitope regions as well as residues forming the inside surface of the capsid that interact with the nucleic acid genome. CapsidMaps is part of the VIPERdb Science Gateway, and is freely available as a web-based and cross-browser compliant application at http://viperdb.scripps.edu.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Heat maps; Quaternary interactions; Similarity score; Viral capsids; Web interface

Mesh:

Substances:

Year:  2015        PMID: 25697908      PMCID: PMC4750372          DOI: 10.1016/j.jsb.2015.02.003

Source DB:  PubMed          Journal:  J Struct Biol        ISSN: 1047-8477            Impact factor:   2.867


  15 in total

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Journal:  Nature       Date:  1987 Aug 27-Sep 2       Impact factor: 49.962

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Journal:  J Mol Biol       Date:  1988-11-05       Impact factor: 5.469

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Journal:  J Mol Biol       Date:  1971-02-14       Impact factor: 5.469

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Journal:  Protein Sci       Date:  1994-10       Impact factor: 6.725

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Journal:  Biopolymers       Date:  1984-08       Impact factor: 2.505

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Authors:  Yang Zhang; Jeffrey Skolnick
Journal:  Nucleic Acids Res       Date:  2005-04-22       Impact factor: 16.971

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  3 in total

1.  Improved Virus Isoelectric Point Estimation by Exclusion of Known and Predicted Genome-Binding Regions.

Authors:  Joe Heffron; Brooke K Mayer
Journal:  Appl Environ Microbiol       Date:  2020-11-10       Impact factor: 4.792

2.  Adaption of FMDV Asia-1 to Suspension Culture: Cell Resistance Is Overcome by Virus Capsid Alterations.

Authors:  Veronika Dill; Bernd Hoffmann; Aline Zimmer; Martin Beer; Michael Eschbaumer
Journal:  Viruses       Date:  2017-08-18       Impact factor: 5.048

3.  Hot Spots and Their Contribution to the Self-Assembly of the Viral Capsid: In Silico Prediction and Analysis.

Authors:  Armando Díaz-Valle; José Marcos Falcón-González; Mauricio Carrillo-Tripp
Journal:  Int J Mol Sci       Date:  2019-11-27       Impact factor: 5.923

  3 in total

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