How Peptides bind Proteins

Peptides are short proteins (polypeptides) -- up to about 50 amino acids. They can convey signals and mediate some of the activities of modular proteins. For example, peptides regulate behavior (neuropeptides), mood (substance P), and digestion (glucagon) The rules for peptides binding to proteins are not established, so Hertz and Yanover developed a new “framework” called PepDist for analyzing these interactions computationally. They say that most previous methods used only “binary” (binding/not-binding) classifiers, but a better method would rank peptides and the best would predict affinity. PepDist learns peptide-peptide distance functions and uses these to predict affinity. They trained their model peptides bound to histocompatibility proteins, which constitute a large and diverse family. They claim that PepDist outperforms the (formerly) state of the art models, including SVMHC, NetMHC (these links work, theirs don't!), and RANKPEP. The best part is that you can easily test it yourself – they provide an on-line service.
Hertz T and Yanover C, "PepDist: a new framework for protein-peptide binding prediction based on learning peptide distance functions." BMC Bioinformatics. 2006 Mar 20;7 Suppl 1:S3.