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Kean University

Education

  • Ph. D., Pharmacy, Jadavpur University 
  • M.S., Pharmacy, Jadavpur University (Valedictorian)
  • B.S., Pharmacy, Jadavpur University (Valedictorian) 
  • European Union Marie-Curie Research Fellow  

Courses Taught

  • Bioinformatics (BIO2910)
  • Biochemistry Lab (BCHM-4115L)
  • Organic Chemistry (CHEM 2581)
  • Medicinal Chemistry (CHEM4190)
  • Medicinal Chemistry (STME 5625)
  • Independent Chemistry Research I (CHEM 3901)
  • Independent Chemistry Research II (CHEM 3902)
  • Senior Honors Research (CHEM 4905)

Research Interests

Dr. Kar works in the field of Medicinal Chemistry incorporating Chemometrics and cheminformatics models and machine learning techniques in different aspects of Computer Aided Drug Designing (CADD), Risk assessment and toxicity modeling of chemicals and drugs.

Dr. Kar is listed in the "Top 2% Scientists in the World for single year category” two times for the years 2020 and 2022 considering all research fields published by scientists from Stanford University in Elsevier in the year 2021 and 2023, respectively. DOI: https://elsevier.digitalcommonsdata.com/datasets/btchxktzyw/6.

Ranking Year

Subject

USA ranking

World ranking

2020

Medicinal and Biomolecular Chemistry

179

704

2020

Environmental Science

517

2449

2022

Medicinal and Biomolecular Chemistry

101

415

2022

Environmental Science

3

121

2022

Chemistry

1265

6716

 

Dr. Kar has published 90+ peer-reviewed research and review articles in Chemical Reviews, Nature Scientific Report, Green Chemistry, Expert Opinion in Drug Discovery, Expert Opinion on Drug Safety, Nano Energy, Nanoscale, Nature Computational Materials, Journal of Hazardous Materials, Chemosphere, Toxicology In Vitro, ACS Omega, Journal of Chemical Information Modeling, etc. and multiple book chapters in Springer, Willey, Elsevier etc. He has also coauthored two highly cited and popular QSAR related books entitled “Understanding the Basics of QSAR for Applications in Pharmaceutical Sciences and Risk Assessment” (Elsevier) and “A Primer on QSAR/QSPR Modeling: Fundamental Concepts” (Springer). He also edited two Springer Books. He has published 23 book chapters till date.

Dr. Kar worked as post-doctoral research associate at ICN in the Department of Chemistry at Jackson State University, Mississippi, USA for 7 years before joining Kean University in Fall 2022. He is also a former visiting researcher at the University of Gdańsk, Poland with Marie-Curie research fellowship.

He serves as an associate editor for the Molecular Diversity (Springer), Frontiers in Pharmacology (Frontiers) and IJQSPR (IGI-Global). He is serving as an Editorial Board member of the Journal of Clinical Medicine (MDPI), Current Drug Metabolism (Bentham), Pharmacogenomics Research and Personalized Medicine (AME) and IJANR (IGI-Global). He is also reviewer board member for Polymers (MDPI) and Informatics and Computational Methods [Frontiers in Natural Products] (Frontiers). Dr. Kar worked as a reviewer and an editor for 70+ reputed peer-reviewed journals. For learn details, please visit his personal website: https://supratikkar.wixsite.com/website

Publications

  • S. Kar, H. Sanderson, K. Roy, E. Benfenati, J. Leszczynski, Green Chemistry in Synthesis of Pharmaceuticals. Chemical Reviews, 2022, 122, 3637-3710.
  • S. Kar, K. Pathakoti, P.B. Tchounwou, D. Leszczynska, J. Leszczynski, Evaluating the cytotoxicity of a large pool of metal oxide nanoparticles to Escherichia coli: Mechanistic understanding through In Vitro and In Silico studies. Chemosphere, 2021, 264, 128428, Link
  • S. Kar, J. Leszczynski, Open Access In Silico Tools to Predict the ADMET Profiling of Drug Candidates, Expert Opinion on Drug Discovery, 2020, 15, 1473-1487.
  • S. Kar, H. Sanderson, K. Roy, E. Benfenati, J. Leszczynski, Ecotoxicological assessment of pharmaceuticals and personal care products using predictive toxicology approaches, Green Chemistry, 2020, 22, 1458-1516. 
  • G. Hoover, S. Kar, S. Guffey, J. Leszczynski, Maria S. Sepúlveda, In vitro and in silico modeling of perfluoroalkyl substances mixture toxicity in an amphibian fibroblast cell line. Chemosphere, 2019, 233, 25-33.
  • S. Kar, Shinjita Ghosh, J. Leszczynski, Is clay-Polycation Adsorbent Future of the Greener Society? In Silico Modeling Approach with Comprehensive Virtual Screening. Chemosphere, 2019, 220, 1108-1117.
  • J. Jean, S. Kar, J. Leszczynski, Risk assessment of environmental contaminants through QSAR modeling of important PBTK parameter: A data gap filling approach, Environment International, 2018, 121, 1193-1203.
  • P. De, S. Kar, K. Roy, J. Leszczynski, Second Generation Periodic Table Based Descriptors to Encode Toxicity of Metal Oxide Nanoparticles to Multiple Species: QSTR Modeling for Exploration of Toxicity Mechanisms. Environmental Science: Nano, 2018, 5, 2742-2760.
  • K. Khan, S. Kar, H. Sanderson, K. Roy, J. Leszczynski, Ecotoxicological Modeling, Ranking and Prioritization of Pharmaceuticals Using QSTR and i-QSTTR Approaches: Application of 2D and Fragment Based Descriptors. Molecular Informatics, 2018, 37, 1800078,
  • P. K. Ojha, S. Kar, K. Roy, J. Leszczynski, Towards Comprehension of Multiple Human Cells Uptake of Engineered Nano Metal Oxides: Quantitative Inter Cell Line Uptake Specificity (QICLUS) modeling. Nanotoxicology, 2019,13, 14-34.
  • S. Kar, S. Ghosh, J. Leszczynski, Single or Mixture Halogenated Chemicals? Risk Assessment and Developmental Toxicity Prediction on Zebrafish Embryos Based on Weighted Descriptors Approach. Chemosphere, 2018, 210, 588-596.
  • S. Kar, M. S. Sepulveda, K. Roy, J. Leszczynski, Endocrine-disrupting activity of poly- and perfluorinated chemicals: Exploring combined approaches of ligand and structure-based modeling. Chemosphere, 2017, 184, 514-523.
  • S. Kar, A. Gajewicz, K. Roy, J. Leszczynski, T. Puzyn, Extrapolating between toxicity endpoints of metal oxide nanoparticles: Predicting toxicity to Escherichia coli and human keratinocyte cell line (HaCaT) with Nano-QTTR. Ecotoxicology and Environmental Safety, 2016, 126, 238-244.
  • S. Kar, A. Gajewicz, T. Puzyn, K. Roy, J. Leszczynski, Periodic table-based descriptors to encode cytotoxicity profile of metal oxide nanoparticles: A mechanistic QSTR approach. Ecotoxicology and Environmental Safety, 2014, 107, 162-169.
  • S. Kar, A. Gajewicz, T. Puzyn, K. Roy, Nano-Quantitative Structure-Activity Relationship Modeling Using Easily Computable and Interpretable Descriptors for Uptake of Magnetofluorescent Engineered Nanoparticles in Pancreatic Cancer Cells. Toxicology in vitro, 2014, 28, 600-606. 

To view the complete list of publications, please visit the following links:

Google Scholar: https://scholar.google.com/citations?user=kzGUHjYAAAAJ&hl=en

ORCID: https://orcid.org/0000-0002-9411-2091

Scopus: https://www.scopus.com/authid/detail.uri?authorId=35237153400

To view the editorial and review activity, please visit the following link:

Web of Science: https://www.webofscience.com/wos/author/record/1089074

Grants/Funds

Dr. Kar has received an USEPA (Federal) fund in Collaboration with Purdue University, Indiana (a R1 institute). Details of this fund are mentioned below:

• Title: Protein Binding Affinity as the Driver for Studying PFAS Mixture Toxicity

• Subaward No. 16200050-034 (PTE Federal award No. 84045601).

• The Project duration is 09-01-2022 to 08-31-2025 [3 years].

·Received fund amount $166,224