Prediction of continuous B-cell epitopes in an antigen using recurrent neural network

Proteins: Structure, Function and Genetics

Volumn 65, Issue 1, 2006, Pages 40-48

  Saha, Sudipto ^a   Raghava, G P S ^a  

^a INSTITUTE OF MICROBIAL TECHNOLOGY   (India)

Author keywords

ABCpred; B cell epitopes; Prediction; Recurrent neural network; Web server

Indexed keywords

B LYMPHOCYTE ANTIGEN; EPITOPE;

ACCURACY; AMINO ACID SEQUENCE; ARTICLE; ARTIFICIAL NEURAL NETWORK; B LYMPHOCYTE; COMPUTER PROGRAM; FEED FORWARD NEURAL NETWORK; PREDICTION; PRIORITY JOURNAL; PROTEIN DATABASE; RECURRENT NEURAL NETWORK; SENSITIVITY AND SPECIFICITY;

AMINO ACID SEQUENCE; ANIMALS; ANTIGENS, BACTERIAL; ANTIGENS, PROTOZOAN; B-LYMPHOCYTES; BACTERIAL PROTEINS; COMPUTER SIMULATION; EPITOPE MAPPING; EPITOPES; NEURAL NETWORKS (COMPUTER); PLASMODIUM FALCIPARUM;

EID: 33748254730     PISSN: 08873585     EISSN: 10970134     Source Type: Journal    
DOI: 10.1002/prot.21078     Document Type: Article

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