MetaPred2CS Web server is a meta-predictor based on Support Vector Machine (SVM)
that combines 6 individual sequence based protein-protein interaction prediction
methods to predict prokaryotic two-component system protein-protein interactions (PPIs).
The methods implemented in MetaPred2CS are 2 co-evolutionary methods: in-silico
two hybrid (i2h) and mirror tree (MT) methods and 4 genomics context based
methods: phylogenetic profiling (PP), gene fusion (GF),
gene neighbourhood (GN)
and and gene operon methods (GO).
Please check help page before uploading input files as the fasta files require a specific header.