Structural parameterization and functional prediction of antigenic polypeptome sequences with biological activity through quantitative sequence-activity models (QSAM) by molecular electronegativity edge-distance vector (VMED)

Science in China, Series C: Life Sciences

Volumn 50, Issue 5, 2007, Pages 706-716

  Li, ZhiLiang ^a,b   Wu, ShiRong ^a,b   Chen, ZeCong ^a,b   Ye, Nancy ^a,b   Yang, ShengXi ^a,b   Liao, ChunYang ^a,b   Zhang, MengJun ^a,b,c   Yang, Li ^a,b   Mei, Hu ^a,b,d   Yang, Yan ^a,b   Zhao, Na ^a,b   Zhou, Yuan ^a,b   Zhou, Ping ^a,b   Xiong, Qing ^a,b   Xu, Hong ^a,b   Liu, ShuShen ^a,b   Ling, ZiHua ^a,b   Chen, Gang ^a   Li, GenRong ^a,b  

^a CHONGQING UNIVERSITY   (China)

^b HUNAN UNIVERSITY   (China)

^c Surgeon Third University   (China)

^d SINGAPORE POLYTECHNIC   (Singapore)

Author keywords

Antigenic polypeptide (AGPP) sequences; Bioactive oligopeptide (BAOP) chains; Molecular electronegativity distance edge vector (VMED); Quantitative sequence activity models (QSAM); Theoretically computational descriptors (TCD)

Indexed keywords

AMINO ACID; ANTIGEN; EPITOPE; OLIGOPEPTIDE; PEPTIDE;

ALGORITHM; CHEMICAL STRUCTURE; CHEMISTRY; COMPUTER PROGRAM; COMPUTER SIMULATION; DNA SEQUENCE; ELECTROCHEMISTRY; HELPER CELL; HUMAN; METABOLISM; METHODOLOGY; QUANTITATIVE STRUCTURE ACTIVITY RELATION; REVIEW; STATISTICAL MODEL; THEORETICAL MODEL;

ALGORITHMS; AMINO ACIDS; ANTIGENS; COMPUTER SIMULATION; ELECTROCHEMISTRY; EPITOPES; HUMANS; MODELS, STATISTICAL; MODELS, THEORETICAL; MOLECULAR STRUCTURE; OLIGOPEPTIDES; PEPTIDES; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP; SEQUENCE ANALYSIS, DNA; SOFTWARE; T-LYMPHOCYTES, HELPER-INDUCER;

EID: 34648830010     PISSN: 10069305     EISSN: 18622798     Source Type: Journal    
DOI: 10.1007/s11427-007-0080-7     Document Type: Review

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