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

被引：1

作者：

Kara, Altan ^{[1
]}

Vickers, Martin ^{[1
]}

Swain, Martin ^{[1
]}

Whitworth, David E. ^{[1
]}

Fernandez-Fuentes, Narcis ^{[1
]}

机构：

[1] Aberystwyth Univ, Inst Biol Environm & Rural Sci, Aberystwyth SY23 3EB, Dyfed, Wales

来源：

BIOINFORMATICS | 2016年 / 32卷 / 21期

基金：

英国生物技术与生命科学研究理事会;

关键词：

NETWORKS; GENE;

D O I：

10.1093/bioinformatics/btw403

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

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.

引用

页码：3339 / 3341

页数：3

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