Basheerulla Shaik, Tabassum Zafar, Vijay K Agrawal
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引用次数: 6
Abstract
The present study deals with the estimation of the anti-HIV activity (log1/C) of a large set of 107 HEPT analogues using molecular descriptors which are responsible for the anti-HIV activity. The study has been undertaken by three techniques MLR, ANN, and SVM. The MLR model fits the train set with R (2)=0.856 while in ANN and SVM with higher values of R (2) = 0.850, 0.874, respectively. SVM model shows improvement to estimate the anti-HIV activity of trained data, while in test set ANN have higher R (2) value than those of MLR and SVM techniques. R m (2) = metrics and ridge regression analysis indicated that the proposed four-variable model MATS5e, RDF080u, T(O⋯O), and MATS5m as correlating descriptors is the best for estimating the anti-HIV activity (log 1/C) present set of compounds.
期刊介绍:
International Journal of Medicinal Chemistry is a peer-reviewed, Open Access journal that publishes original research articles as well as review articles in all areas of chemistry associated with drug discovery, design, and synthesis. International Journal of Medicinal Chemistry is a peer-reviewed, Open Access journal that publishes original research articles as well as review articles in all areas of chemistry associated with drug discovery, design, and synthesis.