Ankur Kumar

About

Ankur Kumar is a Ph.D. research scholar in the Department of Pharmaceutical Technology at Jadavpur University, Kolkata (WB) in Prof. Kunal Roy and Prof. Probir K. Ojha's research group since March 2022. He has completed his B. Pharm. (2019) from Jadavpur University, and his M. Pharm (2022) degree from Jadavpur University, Kolkata (WB). He has awarded with fellowship as a Research Assistant by the Global Product Compliance (GPC) regulatory India Pvt. Ltd. He has experience in QSAR, QSTR, chemometric modeling studies, Molecular Modeling, and ReadAcross. He has published 1 research article. At present, actively working on the " Read-across predictions of property and ecotoxicity endpoints of a selected class of chemicals" as a registered Ph.D. scholar in the Department of Pharmaceutical Technology, Jadavpur University, Kolkata (WB).

Employment

• Wipro (India) Senior associate
  2019 - 2020

Education

• Jadavpur University Doctor of Philosophy
  2023 - Present
• Jadavpur University Faculty of Engineering and Technology M. Pharm
  2020 - 2022
• Jadavpur University Faculty of Engineering and Technology B. Pharm
  2015 - 2019

Projects & Funding

Projects & funding information is unavailable.

Publications (10)

• Comprehensive Ecotoxicological Assessment of Pesticides on Multiple Avian Species: Employing Quantitative Structure-Toxicity Relationship (QSTR) Modeling and Read-Across
  Process Safety and Environmental Protection 2024 DOI: 10.1016/j.psep.2024.05.095
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• First report on pesticide sub-chronic and chronic toxicities against dogs using QSAR and chemical read-across
  SAR and QSAR in Environmental Research 2024 DOI: 10.1080/1062936x.2024.2320143
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• Chronic aquatic toxicity assessment of diverse chemicals on Daphnia magna using QSAR and chemical read-across
  Regulatory Toxicology and Pharmacology 2024 DOI: 10.1016/j.yrtph.2024.105572
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• q-RASTR modelling for prediction of diverse toxic chemicals towards T. pyriformis
  SAR and QSAR in Environmental Research 2024 DOI: 10.1080/1062936x.2023.2298452
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• Chemometric modeling of the lowest observed effect level (LOEL) and no observed effect level (NOEL) for rat toxicity
  Environmental Science: Advances 2024 DOI: 10.1039/D3VA00265A
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• The first report on the assessment of maximum acceptable daily intake (MADI) of pesticides for humans using intelligent consensus predictions
  Environmental Science: Processes & Impacts 2024 DOI: 10.1039/d4em00059e
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• First report on ecotoxicological QSTR and i-QSTR modeling for the prediction of acute ecotoxicity of diverse organic chemicals against three protozoan species
  Chemosphere 2023 DOI: 10.1016/j.chemosphere.2023.139066
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• QSAR modeling of chronic rat toxicity of diverse organic chemicals
  Computational Toxicology 2023 DOI: 10.1016/j.comtox.2023.100270
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• Risk assessment of aromatic organic chemicals to T. pyriformis in environmental protection using regression-based QSTR and Read-Across algorithm
  Process Safety and Environmental Protection 2023 DOI: 10.1016/j.psep.2022.12.067
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• Exploring regression-based QSTR and i-QSTR modeling for ecotoxicity prediction of diverse pesticides on multiple avian species
  Environmental Science: Advances 2023 DOI: 10.1039/d3va00163f
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