Studying peptides biological activities based on multidimensional descriptors (E) using support vector regression

International Journal of Peptide Research and Therapeutics

Volumn 16, Issue 2, 2010, Pages 111-121

  Yin, Jiajian ^a   Diao, Yuanbo ^b   Wen, Zhining ^b   Wang, Zhimeng ^b   Li, Menglong ^b  

^a SICHUAN AGRICULTURAL UNIVERSITY   (China)

^b SICHUAN UNIVERSITY   (China)

Author keywords

ACE inhibitors; Amino acids descriptors; Bitter tasting peptide; Cross validation; Quantitative structure activity relationship (QSAR); Support vector regression

Indexed keywords

DIPEPTIDE; DIPEPTIDYL CARBOXYPEPTIDASE INHIBITOR; PEPTIDE DERIVATIVE; TRIPEPTIDE;

ALPHA HELIX; AMINO ACID ANALYSIS; ARTICLE; BIOLOGICAL ACTIVITY; CONTROLLED STUDY; HYDROPHOBICITY; INTERMETHOD COMPARISON; MATHEMATICAL MODEL; MULTIDIMENSIONAL SCALING; PEPTIDE ANALYSIS; PROTEIN FUNCTION; PROTEIN STRUCTURE; QUANTITATIVE ANALYSIS; QUANTITATIVE STRUCTURE ACTIVITY RELATION; STRUCTURE ANALYSIS; SUPPORT VECTOR MACHINE; VALIDATION PROCESS;

HUMAN ECHOVIRUS 1;

EID: 77955885228     PISSN: 15733149     EISSN: 15733904     Source Type: Journal    
DOI: 10.1007/s10989-010-9210-3     Document Type: Article

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