2010
DOI: 10.1093/nar/gkq1181
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PCDB: a database of protein conformational diversity

Abstract: PCDB (http://www.pcdb.unq.edu.ar) is a database of protein conformational diversity. For each protein, the database contains the redundant compilation of all the corresponding crystallographic structures obtained under different conditions. These structures could be considered as different instances of protein dynamism. As a measure of the conformational diversity we use the maximum RMSD obtained comparing the structures deposited for each domain. The redundant structures were extracted following CATH structur… Show more

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Cited by 26 publications
(22 citation statements)
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“…Very few servers with similar functionality can be found in literature, such as the now defunct PCDB database of the same protein in multiple conformations ( 9 ) and its new incarnation, the CoDNaS database ( 10 ). However, neither PCDB nor CoDNaS provide any visualization nor any ways of analyzing the flexibility, providing only RMSD between different sets of coordinates.…”
Section: Introductionmentioning
confidence: 99%
“…Very few servers with similar functionality can be found in literature, such as the now defunct PCDB database of the same protein in multiple conformations ( 9 ) and its new incarnation, the CoDNaS database ( 10 ). However, neither PCDB nor CoDNaS provide any visualization nor any ways of analyzing the flexibility, providing only RMSD between different sets of coordinates.…”
Section: Introductionmentioning
confidence: 99%
“…The approach employed in PeptiSite shares some similarity with those of PCDB,[59] PepX,[7] PepSite[6] or IEDB-3D[60], however, PeptiSite specifically focuses on the detailed analysis of the peptide binding sites. Besides identifying the constituents of the receptor-peptide binding sites, the subsequent processing of the PeptiSite ensembles creates accurate interaction maps between the binding site and the peptide ligand residues, quantifies cross-compatibility between pockets and ligands from different structures.…”
Section: Introductionmentioning
confidence: 99%
“…Previous efforts to this end include compilation of databases of conformational changes (Gerstein and Krebs, 1998;Juritz et al, 2011;Li et al, 2015;Monzon et al, 2013) and their analysis (Kosloff and Kolodny, 2008). In addition, homologymodeling tools, such as Swiss-Model (Biasini et al, 2014) and ModBase (Pieper et al, 2014), use various templates and may capture a given query at different conformations.…”
Section: Introductionmentioning
confidence: 99%