Title:Proteochemometrics for the Prediction of Binding to the MHC Proteins
Volume: 14
Issue: 1
Author(s): Ventsislav Yordanov, Ivan Dimitrov and Irini Doytchinova
Affiliation:
Keywords:
Immunoinformatics, proteochemometrics, HLA-DRB1, HLA-DQ, peptide binding, MHC binders.
Abstract: The recognition of a foreign protein (antigen) by host B and/or T cells and the induction
of immune response have a key role for the human immune system. The peptide binding to MHC
proteins is a prerequisite for B or T-cell recognition. Determining the peptide-binding preferences
exhibited by the MHC extensive set of alleles requires enormous experimental work. A more rational
approach is the development of bioinformatics prediction methodologies. Among others, proteochemometrics
(PCM) is quite suitable for MHC binding prediction as it simultaneously models the
bioactivity of multiple ligands against multiple protein targets. Handling multiple targets is the key to
"ligand polypharmacology" and the development of multi-target drugs. The few applications of PCM
for MHC binding prediction showed that the developed models have excellent predictive ability
