Proteochemometrics for the Prediction of Binding to the MHC Proteins

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

Cite this article as:

Yordanov Ventsislav, Dimitrov Ivan and Doytchinova Irini, Proteochemometrics for the Prediction of Binding to the MHC Proteins, Letters in Drug Design & Discovery 2017; 14 (1) . https://dx.doi.org/10.2174/1570180813666160630122341