Computational Resources for MHC Ligand Identification. Issue 4 (12th April 2013)

• Record Type: Journal Article
• Authors: Koch, Christian P.; Pillong, Max; Hiss, Jan A.; Schneider, Gisbert
• Is Part Of: Molecular informatics. Volume 32:Issue 4(2013:Apr.)
• Page Start: 326
• Page End: 336
• Publication Date: 2013-04-12
• Subjects: Cheminformatics -- Periodicals; QSAR (Biochemistry) -- Periodicals; Structure-activity relationships (Biochemistry) -- Periodicals; Drugs -- Structure-activity relationships -- Periodicals; 615.19
• DOI: 10.1002/minf.201300042
• Languages: English
• ISSNs: 1868-1743

Abstract

<abstract abstract-type="main" xml:lang="en"> <title>Abstract</title> <p>Advances in the high‐throughput determination of functional modulators of major histocompatibility complex (MHC) and improved computational predictions of MHC ligands have rendered the rational design of immunomodulatory peptides feasible. Proteome‐derived peptides and 'reverse vaccinology' by computational means will play a driving role in future vaccine design. Here we review the molecular mechanisms of the MHC mediated immune response, present the computational approaches that have emerged in this area of biotechnology, and provide an overview of publicly available computational resources for predicting and designing new peptidic MHC ligands.</p> </abstract>