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Volumn 36, Issue 3, 2009, Pages 535-554

In silico quantitative prediction of peptides binding affinity to human MHC molecule: An intuitive quantitative structure-activity relationship approach

Author keywords

Computer aided vaccine design; CTL epitope; Divided physicochemical property scores of amino acids; Genetic algorithm partial least square regression; HLA A*0201; Immunoinformatics; Quantitative structure activity relationship

Indexed keywords

AMINO ACID; EPITOPE; HYDROGEN; LIGAND; PEPTIDE;

EID: 67349182211     PISSN: 09394451     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00726-008-0116-8     Document Type: Article
Times cited : (84)

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