Cpipe: a comprehensive computational platform for sequence and structure-based analyses of Cysteine residues.

Autor:	Soylu I; Department of Agricultural Biotechnology, Akdeniz University, Antalya, 07058, Turkey., Marino SM; R&D Department, Explora Biotech Srl., Venice, 30172, Italy.
Jazyk:	angličtina
Zdroj:	Bioinformatics (Oxford, England) [Bioinformatics] 2017 Aug 01; Vol. 33 (15), pp. 2395-2396.
DOI:	10.1093/bioinformatics/btx181
Abstrakt:	Summary: Due to their chemical plasticity, Cysteine residues (Cys) can serve many different functions. Identification and classification of reactive Cys isn't a trivial job: currently, no available tool exists for an all-round, comprehensive (inclusive of all different functional types) analysis of Cys; herein we present a computational platform called Cp i pe, dedicated to this task: it implements state-of-the art protocols, elaborating and displaying a wealth of information, sufficiently orthogonal to allow a thorough evaluation of all major aspects of Cys reactivity. Availability and Implementation: Cp i pe is implemented in Python and freely available at http://cpipe.explora-biotech.com/cpipe/start.py . All major browsers are supported. Contact: s.marino@explora-biotech.com. Supplementary Information: Supplementary data are available at Bioinformatics online. (© The Author (2017). Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com)
Databáze:	MEDLINE
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