Predicting the affinity of epitope-peptides with class I MHC molecule HLA-A*0201: An application of amino acid-based peptide prediction

Protein Engineering, Design and Selection

Volumn 20, Issue 9, 2007, Pages 417-423

  Du, Qi Shi ^a,c   Wei, Yu Tuo ^a   Pang, Zong Wen ^a   Chou, Kuo Chen ^a,c   Huang, Ri Bo ^a,b  

^a GUANGXI UNIVERSITY   (China)

^b NATIONAL ENGINEERING RESEARCH CENTER FOR NON FOOD BIOREFINERY   (China)

^c GORDON LIFE SCIENCE INSTITUTE   (United States)

Author keywords

Class I MHC; Computational vaccinology; Epitope peptide; HLA A*0201; Peptide based vaccines; Physicochemical properties

Indexed keywords

AMINO ACIDS; CONFORMATIONS; HYDROPHOBICITY; SURFACE CHEMISTRY; VACCINES;

AMINO ACID-BASED PEPTIDE PREDICTION (AABPP); COMPUTATIONAL VACCINOLOGY; PEPTIDE-BASED VACCINES; PHYSICOCHEMICAL PROPERTIES;

PEPTIDES;

AMINO ACID; EPITOPE; HLA A ANTIGEN; MAJOR HISTOCOMPATIBILITY ANTIGEN CLASS 1; PEPTIDE;

AMINO ACID SEQUENCE; ANALYTICAL PARAMETERS; ARTICLE; BINDING AFFINITY; BIOLOGICAL ACTIVITY; HYDROPHILICITY; LIPOPHILICITY; MOLECULAR WEIGHT; PHYSICAL CHEMISTRY; PREDICTION; PRIORITY JOURNAL; PROTEIN BINDING;

ALLELES; COMPUTATIONAL BIOLOGY; EPITOPES; HISTOCOMPATIBILITY ANTIGENS CLASS I; HLA-A ANTIGENS; INHIBITORY CONCENTRATION 50; LIGANDS; MODELS, STATISTICAL; PEPTIDES; PROTEIN ENGINEERING; SURFACE PROPERTIES; THERMODYNAMICS; VACCINES;

EID: 35348888406     PISSN: 17410126     EISSN: 17410134     Source Type: Journal    
DOI: 10.1093/protein/gzm036     Document Type: Article

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