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Protein structural statistics with PSS.
Gaillard, Thomas; Schwarz, Benjamin B L; Chebaro, Yassmine; Stote, Roland H; Dejaegere, Annick.
Afiliação
  • Gaillard T; Laboratoire de Biochimie, UMR 7654 CNRS, Ecole Polytechnique , 91128 Palaiseau Cedex, France.
J Chem Inf Model ; 53(9): 2471-82, 2013 Sep 23.
Article em En | MEDLINE | ID: mdl-23957210
Characterizing the variability within an ensemble of protein structures is a common requirement in structural biology and bioinformatics. With the increasing number of protein structures becoming available, there is a need for new tools capable of automating the structural comparison of large ensemble of structures. We present Protein Structural Statistics (PSS), a command-line program written in Perl for Unix-like environments, dedicated to the calculation of structural statistics for a set of proteins. PSS can perform multiple sequence alignments, structure superpositions, calculate Cartesian and dihedral coordinate statistics, and execute cluster analyses. An HTML report that contains a convenient summary of results with figures, tables, and hyperlinks can also be produced. PSS is a new tool providing an automated way to compare multiple structures. It integrates various types of structural analyses through an user-friendly and flexible interface, facilitating the access to powerful but more specialized programs. PSS is easy to modify and extend and is distributed under a free and open source license. The relevance of PSS is illustrated by examples of application to pertinent biological problems.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Proteínas / Biologia Computacional Limite: Humans Idioma: En Revista: J Chem Inf Model Assunto da revista: INFORMATICA MEDICA / QUIMICA Ano de publicação: 2013 Tipo de documento: Article País de afiliação: França

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Proteínas / Biologia Computacional Limite: Humans Idioma: En Revista: J Chem Inf Model Assunto da revista: INFORMATICA MEDICA / QUIMICA Ano de publicação: 2013 Tipo de documento: Article País de afiliação: França