MIA-QSAR coupled to different regression methods for the modeling of antimalarial activities of 2-aziridinyl and 2,3-bis-(aziridinyl)-1,4- naphtoquinonyl sulfate and acylate derivatives

Medicinal Chemistry

Volumn 7, Issue 6, 2011, Pages 645-654

  Goodarzi, Mohamsmad ^a   Freitas, Matheus P ^b  

^a ISLAMIC AZAD UNIVERSITY   (Iran)

^b FEDERAL UNIVERSITY OF LAVRAS   (Brazil)

Author keywords

ANN; Antimalarial activities; LS SVM; MIA QSAR; N PLS; PLS

Indexed keywords

AZIRIDINE DERIVATIVE; NAPHTHOXAZINE DERIVATIVE;

ANTIMALARIAL ACTIVITY; ARTICLE; ARTIFICIAL NEURAL NETWORK; CHEMICAL STRUCTURE; MULTIPLE LINEAR REGRESSION ANALYSIS; MULTIVARIATE ANALYSIS; PREDICTION; PRIORITY JOURNAL; QUANTITATIVE STRUCTURE ACTIVITY RELATION; STATISTICAL MODEL;

EID: 80755159513     PISSN: 15734064     EISSN: 18756638     Source Type: Journal    
DOI: 10.2174/157340611797928343     Document Type: Article

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