Quantitative prediction of class i MHC/epitope binding affinity using QSAR modeling derived from amino acid structural information

Combinatorial Chemistry and High Throughput Screening

Volumn 18, Issue 1, 2015, Pages 75-82

  Wang, Yuanqiang ^a,b   Zhou, Pengpeng ^b   Lin, Yong ^b   Shu, Mao ^b   Hu, Yong ^b   Xia, Qingyou ^a   Lin, Zhihua ^b  

^a SOUTHWEST UNIVERSITY   (China)

^b CHONGQING UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Amino acid structural information; Anchor position; Epitope; Major histocompatibility complex (MHC); QSAR modeling; Quantitative prediction

Indexed keywords

AMINO ACID; EPITOPE; MAJOR HISTOCOMPATIBILITY ANTIGEN CLASS 1; HLA ANTIGEN CLASS 1; LYMPHOCYTE ANTIGEN RECEPTOR;

ARTICLE; BINDING AFFINITY; HYDROGEN BOND; HYDROPHOBICITY; PHYSICAL CHEMISTRY; PREDICTION; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; QUANTITATIVE STRUCTURE ACTIVITY RELATION; RELIABILITY; AMINO ACID SEQUENCE; BIOLOGICAL MODEL; CHEMICAL STRUCTURE; CHEMISTRY; HUMAN; IMMUNOLOGY;

AMINO ACID SEQUENCE; AMINO ACIDS; EPITOPES; HISTOCOMPATIBILITY ANTIGENS CLASS I; HUMANS; MODELS, IMMUNOLOGICAL; MODELS, MOLECULAR; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP; RECEPTORS, ANTIGEN, T-CELL;

EID: 84931260276     PISSN: 13862073     EISSN: 18755402     Source Type: Journal    
DOI: 10.2174/1386207318666150121125746     Document Type: Article

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