MetaPred2CS: A sequence-based meta-predictor for protein-protein interactions of prokaryotic two-component system proteins

Allbwn ymchwil: Cyfraniad at gyfnodolynErthygladolygiad gan gymheiriaid

2 Dyfyniadau (Scopus)
83 Wedi eu Llwytho i Lawr (Pure)

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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 vs. orphan pairs; and (iii) k-fold cross validation on experimentally validated datasets.

Availability: 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
Iaith wreiddiolSaesneg
Tudalennau (o-i)3339-3341
Nifer y tudalennau3
CyfnodolynBioinformatics
Cyfrol32
Rhif cyhoeddi21
Dyddiad ar-lein cynnar04 Gorff 2016
Dynodwyr Gwrthrych Digidol (DOIs)
StatwsCyhoeddwyd - 01 Tach 2016

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