Inflammatory and Autoimmune Reactions in Atherosclerosis and Vaccine Design Informatics

Table 1

B-cell epitope prediction tools. This table, adapted from Table 1 [164] summarizes available websites for B-cell epitope prediction. The prediction mechanisms employed, URLs, or authors’ email addresses are included. Detailed descriptions and references are included in the paper.

Name	Description	URL
ABCpred	Based on sequence using recurrent neural network module	http://www.imtech.res.in/raghava/abcpred/
BEPITOPE	Based on sequence to predict continuous epitopes	[email protected]
Bepro	Based on structure of the antigen to predict discontinuous B cell epitopes	http://pepito.proteomics.ics.uci.edu/
CEP	Based on structure for the prediction of continuous and discontinuous epitopes	http://bioinfo.ernet.in/cep.htm
COBEpro	Based on primary sequence of continuous B cell epitopes. Secondary structure and solvent accessibility information can be incorporated to improve prediction	http://scratch.proteomics.ics.uci.edu/
DiscoTope	Based on sequence and structure for the prediction of discontinuous epitopes	http://www.cbs.dtu.dk/services/DiscoTope/
Ellipro	Based on solvent accessibility and protein flexibility	http://tools.immuneepitope.org/tools/ElliPro/iedb_input
EMT	Based on Phage-display for the prediction of continuous and discontinuous epitopes	[email protected]
EPIMAP	Based on Phage-display for the prediction of continuous and discontinuous epitopes	[email protected]
Epitopia	Based on either protein 3-D structure or linear sequence using training data	http://epitopia.tau.ac.il
IEDB B-cell epitope tools	Predict continuous B cell epitope based on amino acids scales and discontinuous epitopes based on 3D structures	http://tools.immuneepitope.org/main/html/bcell\_tools.html