Identification of Peptide Inhibitors of Enveloped Viruses Using Support Vector Machine.

ABSTRACT: The peptides derived from envelope proteins have been shown to inhibit the protein-protein interactions in the virus membrane fusion process and thus have a great potential to be developed into effective antiviral therapies. There are three types of envelope proteins each exhibiting distinct structure folds. Although the exact fusion mechanism remains elusive, it was suggested that the three classes of viral fusion proteins share a similar mechanism of membrane fusion. The common mechanism of action makes it possible to correlate the properties of self-derived peptide inhibitors with their activities. Here we developed a support vector machine model using sequence-based statistical scores of self-derived peptide inhibitors as input features to correlate with their activities. The model dis

SUBMITTER: Xu Y 

PROVIDER: S-EPMC4670226 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature