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Combinatorial Chemistry & High Throughput Screening
ISSN (Print): 1386-2073
ISSN (Online): 1875-5402
Epub Full Text Article
DOI: 10.2174/1386207316666131230093802      Price:  $95

Classification SAR Modeling of Diverse Quinolone Compounds for Antimalarial potency Against Plasmodium Falciparum

Author(s): Rahul Balasaheb Aher and Kunal Roy
Both a development of resistance to artemisinin monotherapy and lack of effective vaccine against malaria have created the urgent need for the development of new and efficient antimalarial agents. In this background, we have developed here a linear discriminant analysis (LDA) model and a few 3D-pharmacophore models for the classification of diverse quinolone compounds based on their antimalarial potency against Plasmodium falciparum. The discriminant model shows 70% correct classification for the test set compounds into higher active and lower active analogues. The best pharmacophore model (Hypo-1) with a correlation coefficient of 0.83 shows one hydrogen bond acceptor (HBA) and two ring aromatic (RA) features as the essential structural requirements for antimalarial activity against P falciparum. Both the models may act as in silico filters for a virtual screening and could be utilized for the selection of higher active molecules falling within the applicability of the model
3D-pharmacophore, antimalarial activity, discriminant analysis, Plasmodium falciparum, QSAR, quinolone derivatives
Drug Theoretics and Cheminformatics Laboratory, Department of Pharmaceutical Technology, Jadavpur University, Kolkata 700032, India