Quantitative structure–activity relationship (QSAR) analysis

BG Bhaskarjyoti Gogoi
PC Purvita Chowdhury
NG Nabajyoti Goswami
NG Neelutpal Gogoi
TN Tufan Naiya
PC Pankaj Chetia
SM Saurov Mahanta
DC Dipak Chetia
BT Bhaben Tanti
PB Probodh Borah
PH Pratap Jyoti Handique
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To study the inhibitory potentiality of ECG, the best binding molecule, a quantitative structure–activity relationship (QSAR) analysis was performed. For the QSAR Study, 21 reported inhibitors were taken from ChEMBL BioAssay (CHEMBL854506) database [47, 48]. The molecules were loaded in BIOVIA Discovery Studio 2019 and their energy minimization was done using CHARMm. Total Energy was predicted using the DMol3 module of the Discovery Studio and other descriptors were also calculated [49]. Activities were predicted for each of the molecule using the generated QSAR equation, validated using the test data set and plotted against their experimental activities. As the R2 value for the QSAR Equation was reasonably high, the equation was used to predict the activity of ECG. Similarly, QSAR analysis of N3 was also performed to compare inhibitory potentiality of ECG with N3.

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