Use of amino acid composition to predict epitope residues of individual antibodies

Protein Engineering, Design and Selection

Volumn 23, Issue 6, 2010, Pages 441-448

  Soga, Shinji ^a   Kuroda, Daisuke ^b   Shirai, Hiroki ^a   Kobori, Masato ^a   Hirayama, Noriaki ^c  

^a ASTELLAS PHARMA INC   (Japan)

^b OSAKA UNIVERSITY   (Japan)

^c TOKAI UNIVERSITY SCHOOL OF MEDICINE   (Japan)

Author keywords

amino acid propensity; antibody; ASEP; epitope prediction

Indexed keywords

AMINO ACID COMPOSITIONS; AMINO ACID PROPENSITIES; AMINO ACID PROPENSITY; ANTIGEN-ANTIBODY COMPLEX; ANTIGEN-ANTIBODY INTERACTION; CONVENTIONAL METHODS; LEAVE-ONE-OUT; NOVEL METHODS; PROTEIN DATA BANK; SUCCESS RATIO; TRUE POSITIVE;

AMINO ACIDS; ANTIGENS; COMPLEXATION; FORECASTING; ORGANIC ACIDS;

ANTIBODIES;

ANTIBODY; EPITOPE;

AMINO ACID COMPOSITION; ANTIBODY STRUCTURE; ANTIGEN ANTIBODY COMPLEX; ANTIGEN ANTIBODY REACTION; ARTICLE; CONTROLLED STUDY; HUMAN; MUTATION; PREDICTION; PRIORITY JOURNAL; PROTEIN DATA BANK; STANDARD;

ALGORITHMS; AMINO ACID SEQUENCE; AMINO ACIDS; ANIMALS; ANTIBODIES; ANTIGEN-ANTIBODY COMPLEX; COMPUTATIONAL BIOLOGY; CRYSTALLOGRAPHY, X-RAY; DATABASES, PROTEIN; EPITOPES; HUMANS; MODELS, CHEMICAL; MODELS, MOLECULAR; REPRODUCIBILITY OF RESULTS;

EID: 77955213210     PISSN: 17410126     EISSN: 17410134     Source Type: Journal    
DOI: 10.1093/protein/gzq014     Document Type: Article

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