Literature DB >> 23957210

Protein structural statistics with PSS.

Thomas Gaillard1, Benjamin B L Schwarz, Yassmine Chebaro, Roland H Stote, Annick Dejaegere.   

Abstract

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.

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Year:  2013        PMID: 23957210     DOI: 10.1021/ci400233j

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  5 in total

1.  A revisited version of the apo structure of the ligand-binding domain of the human nuclear receptor retinoic X receptor α.

Authors:  Jérôme Eberhardt; Alastair G McEwen; William Bourguet; Dino Moras; Annick Dejaegere
Journal:  Acta Crystallogr F Struct Biol Commun       Date:  2019-01-23       Impact factor: 1.056

2.  A Dynamic Switch in Inactive p38γ Leads to an Excited State on the Pathway to an Active Kinase.

Authors:  Phillip C Aoto; Robyn L Stanfield; Ian A Wilson; H Jane Dyson; Peter E Wright
Journal:  Biochemistry       Date:  2019-12-13       Impact factor: 3.162

3.  PSSweb: protein structural statistics web server.

Authors:  Thomas Gaillard; Roland H Stote; Annick Dejaegere
Journal:  Nucleic Acids Res       Date:  2016-05-12       Impact factor: 16.971

4.  Exploring the potential of a structural alphabet-based tool for mining multiple target conformations and target flexibility insight.

Authors:  Leslie Regad; Jean-Baptiste Chéron; Dhoha Triki; Caroline Senac; Delphine Flatters; Anne-Claude Camproux
Journal:  PLoS One       Date:  2017-08-17       Impact factor: 3.240

5.  Insights into evolutionary interaction patterns of the 'Phosphorylation Activation Segment' in kinase.

Authors:  Adil Ahiri; Hocine Garmes; Crtomir Podlipnik; Aziz Aboulmouhajir
Journal:  Bioinformation       Date:  2019-10-13
  5 in total

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