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Research Article

Identifications of good and bad structural fragments of hydrazone/2,5-disubstituted-1,3,4-oxadiazole hybrids with correlation intensity index and consensus modelling using Monte Carlo based QSAR studies, their molecular docking and ADME analysis

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Pages 677-700 | Received 14 Jun 2022, Accepted 25 Aug 2022, Published online: 12 Sep 2022

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Garima, S. Sharma, J. Sindhu & P. Kumar. (2023) QSAR study of tetrahydropteridin derivatives as polo-like kinase 1(PLK1) Inhibitors with molecular docking and dynamics study. SAR and QSAR in Environmental Research 34:2, pages 91-116.
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Parvin Kumar, Ashwani Kumar, Jayant Sindhu & Sohan Lal. (2023) Quasi-SMILES as a basis for the development of QSPR models to predict the CO2 capture capacity of deep eutectic solvents using correlation intensity index and consensus modelling. Fuel 345, pages 128237.
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Rahul Singh, Parvin Kumar, Jayant Sindhu, Meena Devi, Ashwani Kumar, Sohan Lal & Devender Singh. (2023) Parsing structural fragments of thiazolidin-4-one based α-amylase inhibitors: A combined approach employing in vitro colorimetric screening and GA-MLR based QSAR modelling supported by molecular docking, molecular dynamics simulation and ADMET studies. Computers in Biology and Medicine 157, pages 106776.
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