SVM-Prot: Web-based support vector machine software for functional classification of a protein from its primary sequence.

ABSTRACT: Prediction of protein function is of significance in studying biological processes. One approach for function prediction is to classify a protein into functional family. Support vector machine (SVM) is a useful method for such classification, which may involve proteins with diverse sequence distribution. We have developed a web-based software, SVMProt, for SVM classification of a protein into functional family from its primary sequence. SVMProt classification system is trained from representative proteins of a number of functional families and seed proteins of Pfam curated protein families. It currently covers 54 functional families and additional families will be added in the near future. The computed accuracy for protein family classification is found to be in the range of 69.1-99.6%. SV

SUBMITTER: Cai CZ 

PROVIDER: S-EPMC169006 | biostudies-literature | 2003 Jul

REPOSITORIES: biostudies-literature