Roy K - Search Results

1

Intelligent consensus-based predictions of early life stage toxicity in fish tested in compliance with OECD Test Guideline 210.

Pore S, Pelloux A, Bergqvist A, Chatterjee M, Roy K. Pore S, et al. Among authors: roy k. Aquat Toxicol. 2024 Dec 19;279:107216. doi: 10.1016/j.aquatox.2024.107216. Online ahead of print. Aquat Toxicol. 2024. PMID: 39724812

2

Role of beta-carotene on the changes in activity patterns and levels of biotransforming enzymes in transplantable murine lymphoma.

Ghosh B, Sardar S, Roy K, Chatterjee M. Ghosh B, et al. Among authors: roy k. Cancer Lett. 1995 Apr 14;90(2):191-7. doi: 10.1016/0304-3835(95)03711-5. Cancer Lett. 1995. PMID: 7736455

3

Vanadium: a modifier of drug-metabolizing enzyme patterns and its critical role in cellular proliferation in transplantable murine lymphoma.

Chakraborty A, Ghosh R, Roy K, Ghosh S, Chowdhury P, Chatterjee M. Chakraborty A, et al. Among authors: roy k. Oncology. 1995 Jul-Aug;52(4):310-4. doi: 10.1159/000227480. Oncology. 1995. PMID: 7777245

4

Role of vitamin D3 on the activity patterns of hepatic drug metabolizing enzymes in transplantable murine lymphoma.

Sardar S, Chatterjee M, Ghosh S, Roy K. Sardar S, et al. Among authors: roy k. Cancer Invest. 1996;14(4):328-34. doi: 10.3109/07357909609012159. Cancer Invest. 1996. PMID: 8689427

5

Alterations in total iron, zinc, and calcium levels and their influence on the hepatic activities of gamma-glutamyl transferase and glucose-6-phosphatase in the host bearing transplantable murine lymphoma.

Bishayee A, Kulkarni SP, Roy K, Chatterjee M. Bishayee A, et al. Among authors: roy k. Cancer Invest. 1998;16(4):231-6. doi: 10.3109/07357909809039772. Cancer Invest. 1998. PMID: 9589032

6

Ecotoxicological QSAR modeling of organic compounds against fish: Application of fragment based descriptors in feature analysis.

Khan K, Baderna D, Cappelli C, Toma C, Lombardo A, Roy K, Benfenati E. Khan K, et al. Among authors: roy k. Aquat Toxicol. 2019 Jul;212:162-174. doi: 10.1016/j.aquatox.2019.05.011. Epub 2019 May 17. Aquat Toxicol. 2019. PMID: 31128417

7

QSAR modeling of algal low level toxicity values of different phenol and aniline derivatives using 2D descriptors.

Seth A, Roy K. Seth A, et al. Among authors: roy k. Aquat Toxicol. 2020 Nov;228:105627. doi: 10.1016/j.aquatox.2020.105627. Epub 2020 Sep 12. Aquat Toxicol. 2020. PMID: 32956953

8

Prediction of aquatic toxicity of chemical mixtures by the QSAR approach using 2D structural descriptors.

Chatterjee M, Roy K. Chatterjee M, et al. Among authors: roy k. J Hazard Mater. 2021 Apr 15;408:124936. doi: 10.1016/j.jhazmat.2020.124936. Epub 2020 Dec 22. J Hazard Mater. 2021. PMID: 33387719

9

Application of QSAR for the identification of key molecular fragments and reliable predictions of effects of textile dyes on growth rate and biomass values of Raphidocelis subcapitata.

Jillella GK, Ojha PK, Roy K. Jillella GK, et al. Among authors: roy k. Aquat Toxicol. 2021 Jul 23;238:105925. doi: 10.1016/j.aquatox.2021.105925. Online ahead of print. Aquat Toxicol. 2021. PMID: 34332198

10

Computational Modeling of Mixture Toxicity.

Chatterjee M, Roy K. Chatterjee M, et al. Among authors: roy k. Methods Mol Biol. 2022;2425:561-587. doi: 10.1007/978-1-0716-1960-5_22. Methods Mol Biol. 2022. PMID: 35188647

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