Kunal Roy
Affiliations: | Jadavpur University, Kolkata, West Bengal, India |
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Sign in to add trainee| Supratik Kar | grad student | 2010-2015 | Jadavpur University |
| Rudra Narayan Das | grad student | 2012-2016 | Jadavpur University |
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Publications
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| Kumar A, Ojha PK, Roy K. (2024) Safer and greener chemicals for the aquatic ecosystem: Chemometric modeling of the prolonged and chronic aquatic toxicity of chemicals on Oryzias latipes. Aquatic Toxicology (Amsterdam, Netherlands). 273: 106985 |
| Banerjee A, Roy K. (2024) ARKA: a framework of dimensionality reduction for machine-learning classification modeling, risk assessment, and data gap-filling of sparse environmental toxicity data. Environmental Science. Processes & Impacts |
| Ghosh S, Roy K. (2024) Quantitative read-across structure-activity relationship (q-RASAR): A novel approach to estimate the subchronic oral safety (NOAEL) of diverse organic chemicals in rats. Toxicology. 505: 153824 |
| Kumar V, Banerjee A, Roy K. (2024) Breaking the Barriers: Machine-Learning-Based c-RASAR Approach for Accurate Blood-Brain Barrier Permeability Prediction. Journal of Chemical Information and Modeling |
| Kumar A, Ojha PK, Roy K. (2024) The first report on the assessment of maximum acceptable daily intake (MADI) of pesticides for humans using intelligent consensus predictions. Environmental Science. Processes & Impacts |
| Ghosh S, Chhabria MT, Roy K. (2024) Chemometric modeling of pharmaceuticals for partitioning between sludge and aqueous phase during the wastewater treatment process. Environmental Science and Pollution Research International |
| Pore S, Banerjee A, Roy K. (2024) Application of machine learning-based read-across structure-property relationship (RASPR) as a new tool for predictive modelling: Prediction of power conversion efficiency (PCE) for selected classes of organic dyes in dye-sensitized solar cells (DSSCs). Molecular Informatics. e202300210 |
| Kumar A, Kumar V, Ojha PK, et al. (2024) Chronic aquatic toxicity assessment of diverse chemicals on Daphnia magna using QSAR and chemical read-across. Regulatory Toxicology and Pharmacology : Rtp. 148: 105572 |
| Chatterjee M, Roy K. (2023) Predictive binary mixture toxicity modeling of fluoroquinolones (FQs) and the projection of toxicity of hypothetical binary FQ mixtures: a combination of 2D-QSAR and machine-learning approaches. Environmental Science. Processes & Impacts |
| Ghosh S, Chatterjee M, Roy K. (2023) Quantitative Read-across structure-activity relationship (q-RASAR): A new approach methodology to model aquatic toxicity of organic pesticides against different fish species. Aquatic Toxicology (Amsterdam, Netherlands). 265: 106776 |