Predicting flexible length linear B-cell epitopes.

Computational systems bioinformatics / Life Sciences Society. Computational Systems Bioinformatics Conference

Volumn 7, Issue , 2008, Pages 121-132

  El Manzalawy, Yasser ^a   Dobbs, Drena ^a   Honavar, Vasant ^a  

^a IOWA STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EPITOPE;

ALGORITHM; AMINO ACID SEQUENCE; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; CHEMICAL MODEL; CHEMISTRY; COMPUTER SIMULATION; EPITOPE MAPPING; METHODOLOGY; MOLECULAR GENETICS; SEQUENCE ANALYSIS; STATISTICAL MODEL;

ALGORITHMS; AMINO ACID SEQUENCE; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; EPITOPE MAPPING; EPITOPES, B-LYMPHOCYTE; LINEAR MODELS; MODELS, CHEMICAL; MOLECULAR SEQUENCE DATA; PATTERN RECOGNITION, AUTOMATED; SEQUENCE ANALYSIS, PROTEIN;

MLCS; MLOWN;

EID: 58049179749     PISSN: 17527791     EISSN: None     Source Type: Journal    
DOI: 10.1142/9781848162648_0011     Document Type: Article

References (0)