Modeling the antileishmanial activity screening of 5-nitro-2-heterocyclic benzylidene hydrazides using different chemometrics methods

European Journal of Medicinal Chemistry

Volumn 45, Issue 2, 2010, Pages 719-726

  Garkani Nejad, Zahra ^a   Ahmadi Roudi, Behzad ^a  

^a VALI E ASR UNIVERSITY OF RAFSANJAN   (Iran)

Author keywords

Antileishmanial activity; Artificial neural network (ANN); Benzylidene hydrazides; Quantitative structure activity relationship (QSAR)

Indexed keywords

ANTILEISHMANIAL AGENT; BENZYLIDENE DERIVATIVE; HYDRAZIDE DERIVATIVE; NIFUROXAZIDE; NITROFURAN DERIVATIVE;

ANTIPROTOZOAL ACTIVITY; ARTICLE; ARTIFICIAL NEURAL NETWORK; CHEMOMETRIC ANALYSIS; COMPUTER PROGRAM; CONTROLLED STUDY; DRUG SCREENING; DRUG STRUCTURE; IC 50; MATHEMATICAL MODEL; QUANTITATIVE STRUCTURE ACTIVITY RELATION; SUBSTITUTION REACTION;

ALGORITHMS; ANTIPROTOZOAL AGENTS; BENZYLIDENE COMPOUNDS; DRUG EVALUATION, PRECLINICAL; HETEROCYCLIC COMPOUNDS; INFORMATICS; LEISHMANIA; LINEAR MODELS; NEURAL NETWORKS (COMPUTER); NONLINEAR DYNAMICS; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP;

EID: 73549102406     PISSN: 02235234     EISSN: 17683254     Source Type: Journal    
DOI: 10.1016/j.ejmech.2009.11.019     Document Type: Article

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