OptCDR: A general computational method for the design of antibody complementarity determining regions for targeted epitope binding

Protein Engineering, Design and Selection

Volumn 23, Issue 11, 2010, Pages 849-858

  Pantazes, R J ^a   Maranas, C D ^a  

^a The Pennsylvania State University   (United States)

Author keywords

antibody design; computational protein design; fluorescein; hepatitis C; vascular endothelial growth factor

Indexed keywords

ANTIBODY LIBRARY; CANONICAL STRUCTURE; COMPLEMENTARITY-DETERMINING REGIONS; COMPUTATIONAL PROTEIN DESIGN; COMPUTATIONAL TESTS; DE NOVO DESIGN; EFFICIENT PRODUCTION; EXPERIMENTAL TECHNIQUES; FLUORESCEIN; HEPATITIS C; HIGH SPECIFICITY; VASCULAR ENDOTHELIAL GROWTH FACTOR;

AMINO ACIDS; ANTIGENS; BIOCHEMICAL ENGINEERING; COMPUTATIONAL METHODS; PEPTIDES; SELF ASSEMBLY;

ANTIBODIES;

AMINO ACID; ANTIBODY; ANTIGEN; EPITOPE; FLUORESCEIN; GROWTH FACTOR; HAPTEN; PEPTIDE; VASCULOTROPIN;

AMINO ACID SEQUENCE; ANTIBODY LIBRARY; ARTICLE; COMPLEMENTARITY DETERMINING REGION; DRUG DESIGN; DRUG STRUCTURE; HEPATITIS C; MATHEMATICAL COMPUTING; OPTIMAL COMPLEMENTARITY DETERMINING REGIONS METHOD; PRIORITY JOURNAL; SEQUENCE ANALYSIS; STRUCTURE ANALYSIS; VIRUS CAPSID;

AMINO ACID SEQUENCE; ANTIBODIES; ANTIBODY AFFINITY; CAPSID; COMPLEMENTARITY DETERMINING REGIONS; COMPUTER SIMULATION; EPITOPES; FLUORESCEIN; HAPTENS; HEPACIVIRUS; MODELS, IMMUNOLOGICAL; MODELS, MOLECULAR; MOLECULAR SEQUENCE DATA; VASCULAR ENDOTHELIAL GROWTH FACTOR A; VIRAL PROTEINS;

HEPATITIS C VIRUS; MIRIDAE;

EID: 77958157337     PISSN: 17410126     EISSN: 17410134     Source Type: Journal    
DOI: 10.1093/protein/gzq061     Document Type: Article

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