The aim of this study was to explore data from different families of compounds through the use of a variety of machine learning techniques. The robust quantitative structure-activity relationship (QSAR)-based models were developed to further guide in the quest for new potent anti-cardiovascular disease compounds. QSAR study was conducted on 1-Phenylsulfinyl-3-(pyridin-3-yl)naphthalen-2-ols and related compounds to determine their efficacy as anti-cardiovascular disease drugs. Multiple linear ...
The goal of the present study is the exploration of data from different families of compounds through the use of a variety of machine learning techniques so that robust QSAR-based models can be developed to further guide in the quest for new potent Hepatitis B virus compounds. In this work quantitative structure-activity relationship (QSAR) study has been done on 6-chloro-4-(2-chlorophenyl)-3-(2-hydroxyethyl) quinolin-2(1H)-one and related compounds as Hepatitis B drugs. Multiple linear ...