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ProCoCoA: A quantitative approach for analyzing protein core composition

Authors :
Bottini, Silvia
Bernini, Andrea
De Chiara, Matteo
Garlaschelli, Diego
Spiga, Ottavia
Dioguardi, Marco
Vannuccini, Elisa
Tramontano, Anna
Niccolai, Neri
Source :
Computational Biology & Chemistry. Apr2013, Vol. 43, p29-34. 6p.
Publication Year :
2013

Abstract

Abstract: Defining the amino acid composition of protein cores is fundamental for understanding protein folding, as different architectures might achieve structural stability only in the presence of specific amino acid networks. Quantitative characterization of protein cores in relation to the corresponding structures and dynamics is needed to increase the reliability of protein engineering procedures. Unambiguous criteria based on atom depth considerations were established to assign amino acid residues to protein cores and, hence, for classifying inner and outer molecular moieties. These criteria were summarized in a new tool named ProCoCoA, Protein Core Composition Analyzer. An user-friendly web interface was developed, available at the URL: http://www.sbl.unisi.it/prococoa. An accurate estimate of protein core composition for six protein architectures selected from the CATH database of solved structures has been carried out, and the obtained results indicate the presence of specific patterns of amino acid core composition in different protein folds. [Copyright &y& Elsevier]

Details

Language :
English
ISSN :
14769271
Volume :
43
Database :
Academic Search Index
Journal :
Computational Biology & Chemistry
Publication Type :
Academic Journal
Accession number :
85852572
Full Text :
https://doi.org/10.1016/j.compbiolchem.2012.12.007