Predicts and classifies cytokines from protein sequence. CTKPred is a web server implementing a support vector machine (SVM)-based method developed for the recognition of cytokines on the basis of dipeptide composition. The software uses a three-step strategy for recognizing cytokines from protein sequences and further classifying cytokines to subfamily level. It was trained using fixed-length vectors obtained on the basis of the dipeptide composition of proteins.
Institute of Bioinformatics and System Biology, MOE Key Laboratory of Bioinfomatics, State Key Laboratory of Biomembrane and Membrane Biotechnology, Department of Biological Science and Biotechnology, Tsinghua University, Beijing, China
CTKPred funding source(s)
Supported by a Foundational Science Research Grant from Tsinghua University (No. JC2001043), a National Nature Science Grant (No. 19947006) and the 863 Projects (2002AA234041).