Article
MHC2MIL: a novel multiple instance learning based method for MHC-II peptide binding prediction by considering peptide flanking region and residue positions.
BMC genomics - 1 Jan 2014
Xu Yichang, Luo Cheng, Qian Mingjie, Huang Xiaodi, Zhu Shanfeng
Abstract excerpt
BACKGROUND: Computational prediction of major histocompatibility complex class II (MHC-II) binding peptides can assist researchers in understanding the mechanism of immune systems and developing peptide based vaccines. Although many computational methods have been proposed, the performance of these methods are far from satisfactory. The difficulty of MHC-II peptide binding prediction comes mainly from the large...
Read the complete abstract on PubMedTopics
Share this publication in a Topic to start or enrich a Post.
