Author

S. Bhowmick

3 papers indexed here

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Oct 2026

SilicoSAR: An integrated machine-learning QSAR module within the SilicoXplore platform for QSAR-based virtual screening, demonstrated by the discovery of natural-product EGFR inhibitors.

Quantitative structure-activity relationship (QSAR) modelling is central to computer-aided drug discovery, yet many existing QSAR tools operate as isolated descriptor-generation or single-algorithm utilities that require programming expertise and manual transfer of outputs into separate docking and simulation programs....

M. Islam, S. Bhowmick, Sonali Chikhale · Computational biology and ch... · 0 citations

Open access Sep 2026

RETRACTED: Das et al. Carnosic Acid Attenuates Cadmium Induced Nephrotoxicity by Inhibiting Oxidative Stress, Promoting Nrf2/HO-1 Signalling and Impairing TGF-β1/Smad/Collagen IV Signalling. Molecules 2019, 24, 4176

The journal retracts the article titled "Carnosic Acid Attenuates Cadmium Induced Nephrotoxicity by Inhibiting Oxidative Stress, Promoting Nrf2/HO-1 Signalling and Impairing TGF-β1/Smad/Collagen IV Signalling" [...].

Sonjit Das, S. Dewanjee, T. K. Dua et al. · Molecules · 0 citations

Sep 2026

SilicoXplore: An integrated cloud platform coupling machine learning with physics-based modelling for end-to-end drug discovery, applied to the computational prioritisation of putative New Delhi metallo-β-lactamase-1 binders.

Modern drug discovery joins machine learning with physics-based simulation, but building such a pipeline needs Linux administration, dependency management, format conversion and scripting, which keeps out many of the chemists and biologists who ask the questions. We describe SilicoXplore, a cloud-hosted platform of 31...

Parth Mangal, O. Shinde, Sonali Chikhale et al. · Journal of Molecular Graphic... · 0 citations