EPCES and EPSVR: Prediction of B-Cell antigenic epitopes on protein surfaces with conformational information

Shide Liang, Dandan Zheng, Bo Yao, Chi Zhang

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Accurate prediction of discontinuous antigenic epitopes is important for immunologic research and medical applications, but it is not an easy problem. Currently, there are only a few prediction servers available, though discontinuous epitopes constitute the majority of all B-cell antigenic epitopes. In this chapter, we describe two online servers, EPCES and EPSVR, for discontinuous epitope prediction. All methods were benchmarked by a curated independent test set, in which all antigens had no complex structures with the antibody, and their epitopes were identified by various biochemical experiments. The servers and all datasets are available at http://sysbio.unl.edu/EPCES/ and http://sysbio.unl.edu/EPSVR/.

Original languageEnglish (US)
Title of host publicationMethods in Molecular Biology
PublisherHumana Press Inc.
Pages289-297
Number of pages9
DOIs
StatePublished - 2020

Publication series

NameMethods in Molecular Biology
Volume2131
ISSN (Print)1064-3745
ISSN (Electronic)1940-6029

Keywords

  • B-cell epitope prediction
  • Support vector machine

ASJC Scopus subject areas

  • Molecular Biology
  • Genetics

Fingerprint Dive into the research topics of 'EPCES and EPSVR: Prediction of B-Cell antigenic epitopes on protein surfaces with conformational information'. Together they form a unique fingerprint.

Cite this