Quantitative structure activity relationship for the computational prediction of α-glucosidase inhibitory

Chemometrics and Intelligent Laboratory Systems

Volumn 97, Issue 2, 2009, Pages 118-126

  Kraim, Khairedine ^a   Khatmi, Djameleddin ^a   Saihi, Youcef ^b   Ferkous, Fouad ^b   Brahimi, Mohamed ^c  

^a UNIVERSITY OF GUELMA   (Algeria)

^b BADJI MOKHTAR UNIVERSITY   (Algeria)

^c Institut National de Formation en Informatique   (Algeria)

Author keywords

glucosidase; Applicability domain; Genetic Algorithm; Multiple Linear Regression; Xanthone derivatives

Indexed keywords

ALPHA GLUCOSIDASE INHIBITOR; CURCUMIN; XANTHONE DERIVATIVE;

ARTICLE; CYTOTOXICITY; GENETIC ALGORITHM; IC 50; MULTIPLE LINEAR REGRESSION ANALYSIS; PREDICTION; PRIORITY JOURNAL; QUANTITATIVE STRUCTURE ACTIVITY RELATION; RANDOMIZATION; VALIDATION STUDY;

EID: 67349151232     PISSN: 01697439     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.chemolab.2009.03.006     Document Type: Article

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