Kunal Roy
Affiliations: | Jadavpur University, Kolkata, West Bengal, India |
Google:
"Kunal Roy"Mean distance: (not calculated yet)
Children
Sign in to add trainee| Supratik Kar | grad student | 2010-2015 | Jadavpur University |
| Rudra Narayan Das | grad student | 2012-2016 | Jadavpur University |
BETA: Related publications
See more...
Publications
|
You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect. |
| Banerjee A, Roy K. (2024) Molecular Similarity in Predictive Toxicology with a Focus on the q-RASAR Technique. Methods in Molecular Biology (Clifton, N.J.). 2834: 41-63 |
| Banerjee A, Roy K. (2024) The application of chemical similarity measures in an unconventional modeling framework c-RASAR along with dimensionality reduction techniques to a representative hepatotoxicity dataset. Scientific Reports. 14: 20812 |
| Banerjee A, Kar S, Roy K, et al. (2024) Molecular similarity in chemical informatics and predictive toxicity modeling: from quantitative read-across (q-RA) to quantitative read-across structure-activity relationship (q-RASAR) with the application of machine learning. Critical Reviews in Toxicology. 1-26 |
| 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 |