Research progress on immune-informatics methods for predicting the binding ability of active peptides to MHC

Authors

HUANG Lu, College of Chemical and Biological Engineering, Changsha University of Science and Technology, Changsha, Hunan 410114, China
WEN Li, College of Chemical and Biological Engineering, Changsha University of Science and Technology, Changsha, Hunan 410114, China
XU Zhou, College of Chemical and Biological Engineering, Changsha University of Science and Technology, Changsha, Hunan 410114, China
CHEN Maolong, College of Chemical and Biological Engineering, Changsha University of Science and Technology, Changsha, Hunan 410114, China
CHENG Yunhui, College of Chemical and Biological Engineering, Changsha University of Science and Technology, Changsha, Hunan 410114, China

Abstract

In this paper, the latest advances in immune-informatics methods for predicting the binding ability of active peptides to MHC are reviewed. The related tools and methods for predicting the binding of commonly used peptides to MHC molecules are introduced. The characteristics, research focuses, and difficulties of various methods are analyzed. Finding immune-active peptides provides a faster method.

Publication Date

4-28-2018

First Page

186

Last Page

191

DOI

10.13652/j.issn.1003-5788.2018.04.037

Recommended Citation

Lu, HUANG; Li, WEN; Zhou, XU; Maolong, CHEN; and Yunhui, CHENG (2018) "Research progress on immune-informatics methods for predicting the binding ability of active peptides to MHC," Food and Machinery: Vol. 34: Iss. 4, Article 37.
DOI: 10.13652/j.issn.1003-5788.2018.04.037
Available at: https://www.ifoodmm.cn/journal/vol34/iss4/37

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