MetaPred2CS
Computational Tool
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General Information
DescriptionA sequence-based meta-predictor for protein–protein interactions of prokaryotic two-component system proteins
Homepagehttp://metapred2cs.ibers.aber.ac.uk/
Publications
MetaPred2CS: a sequence-based meta-predictor for protein–protein interactions of prokaryotic two-component system proteins
Altan Kara; Martin Vickers; Martin Swain; David E. Whitworth; Narcis Fernandez-Fuentes
Motivation: Two-component systems (TCS) are the main signalling pathways of prokaryotes, and control a wide range of biological phenomena. Their functioning depends on interactions between TCS proteins, the specificity of which is poorly understood.
Results: The MetaPred2CS web-server interfaces a sequence-based meta-predictor specifically designed to predict pairing of the histidine kinase and response-regulator proteins forming TCSs. MetaPred2CS integrates six sequence-based methods using a support vector machine classifier and has been intensively tested under different benchmarking conditions: (i) species specific gene sets; (ii) neighbouring versus orphan pairs; and (iii) k-fold cross validation on experimentally validated datasets.
Availability and Implementation: Web server at: http://metapred2cs.ibers.aber.ac.uk/, Source code: https://github.com/martinjvickers/MetaPred2CS or implemented as Virtual Machine at: http://metapred2cs.ibers.aber.ac.uk/download
Contact: naf4@aber.ac.uk
Supplementary information: Supplementary data are available at Bioinformatics online.
DOI: https://doi.org/10.1093/bioinformatics/btw403
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