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

Bioinformatics. 2016 Nov 1;32(21):3339-3341. doi: 10.1093/bioinformatics/btw403. Epub 2016 Jul 4.


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:, Source code: or implemented as Virtual Machine at: CONTACT: information: Supplementary data are available at Bioinformatics online.

MeSH terms

  • Prokaryotic Cells*
  • Proteins*
  • Support Vector Machine*


  • Proteins