Abstract

In the present study we have performed Quantitative structure activity relationship (QSAR) analysis for 43bisbenzofuran derivatives to estimate the antimalarial activity using some 2D descriptors. Several significant QSAR models has been calculated for predicting the antimalarial activity (“logIC50) of these molecules by using the multiple linear regression (MLR) technique. Among the obtained QSAR models, a four parametric model was most significant having R2=0.9502. An external set was used for confirming the predictive power of the models. High correlation between experimental and predicted antimalarial activity values, was obtained in the validation approach that displayed the good modality of the derived QSAR models. Tripti Kaushal | Anita K | Bashirulla Shaik | Vijay K. Agrawal"QSAR Modeling of Bisbenzofuran Compounds using 2D-Descriptors as Antimalarial Agents" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-2 , February 2018, URL: http://www.ijtsrd.com/papers/ijtsrd9497.pdf http://www.ijtsrd.com/chemistry/other/9497/qsar-modeling-of-bisbenzofuran-compounds-using-2d-descriptors-as-antimalarial-agents/tripti-kaushal

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