Predicts transporter associated with antigen processing (TAP)-binding peptides. TAP Hunter is a web-based computational system for predicting TAP ligands using support vector machine (SVM) as the discrimination engine. The data encoding scheme, based on sequence locality and composition effects, allows the system to model essential features in peptides that can bind to the TAP translocator. It allows prediction for both short-length peptides and pathogen proteins to be screened for TAP binding peptides.
Laboratory of Immunogenetics and Viral Host-Pathogen Genomics, Singapore Immunology Network, Singapore; Bioinformatics Center, Institute for Chemical Research, Kyoto University, Gokasho, Japan; Department of Microbiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Data Mining Department, Institute for Infocomm Research, Singapore
TAP Hunter funding source(s)
Supported by the Science and Engineering Research Council (SERC) of A*STAR.