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The definition of the molecular structure for potential anti-malaria agents by the Monte Carlo method
Authors:Andrey A Toropov  Alla P Toropova  Emilio Benfenati  Giuseppina Gini  Roberto Fanelli
Institution:1. Istituto di Ricerche Farmacologiche Mario Negri, 20156, Via La Masa 19, Milan, Italy
2. Department of Electronics and Information, Politecnico di Milano, Piazza Leonardo Da Vinci 32, 20133, Milan, Italy
Abstract:A series of 53 endochin analogs (4(1-H)-quinolone derivatives) with anti-malarial activity against the clinically relevant multidrug resistant malarial strain TM-90-C2B has been studied. The CORAL (http://www.insilico.eu/coral) software has been used as a tool to build up the quantitative structure–activity relationships (QSAR) for the anti-malaria activity. The QSAR models were calculated with the representation of the molecular structure by simplified molecular input-line entry system and by the molecular graph of atomic orbitals. The method for splitting data into the sub-training set, the calibration set, the test set, and the validation set is suggested. Three various splits were examined. Statistical quality of models for the validation sets (which are not involved in the building up models) is good. Structural indicators (alerts) for increase and decrease of the anti-malaria activity are defined.
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