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Supratik Kar

Kean University

United States

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Research Interests

Pharmaceutical Chemistry

Pharmacology

Molecular Modeling

Chemical Biology

Chemoinformatics

Cytotoxicity

Drug Development

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Recent Grants

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Open Date: 2011-01-01

Close Date: 2015-01-01

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UGC Fellowship

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ICMR Fellowship

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Articles16

Collaborators1

KABIRUDDIN KHAN

Assistant Professor (Research Specialist)

University of Gdańsk

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Supratik Kar

Tenure Track Assistant Professor

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Recent Grants

Articles16

First report on chemometrics-driven multilayered lead prioritization in addressing oxysterol-mediated overexpression of G protein-coupled receptor 183

Protracted molecular dynamics and secondary structure introspection to identify dual-target inhibitors of Nipah virus exerting approved small molecules repurposing

First report on chemometric modeling of tilapia fish aquatic toxicity to organic chemicals: Toxicity data gap filling

Unveiling first report on in silico modeling of aquatic toxicity of organic chemicals to Labeo rohita (Rohu) employing QSAR and q-RASAR

Computational Modeling of Human Serum Albumin Binding of Per- and Polyfluoroalkyl Substances Employing QSAR, Read-Across, and Docking

Are we ready to fight the Nipah virus pandemic? An overview of drug targets, current medications, and potential leads

Efficient predictions of cytotoxicity of TiO<sub>2</sub>-based multi-component nanoparticles using a machine learning-based q-RASAR approach

Are we ready to combat the ecotoxicity of COVID-19 pharmaceuticals? An in silico aquatic risk assessment

Structure-based drug design-guided identification of estrogen receptor binders

Computer-assisted identification of potential quinolone derivatives targeting Nipah virus glycoprotein attachment with human cell surface receptor ephrin-B2: Multistep virtual screening

Exploring Monkeypox: prospects for therapeutics through computational-aided drug discovery

Quick and efficient quantitative predictions of androgen receptor binding affinity for screening Endocrine Disruptor Chemicals using 2D-QSAR and Chemical Read-Across

Quick and efficient quantitative predictions of androgen receptor binding affinity for screening Endocrine Disruptor Chemicals using 2D-QSAR and Chemical Read-Across

Computational approaches in assessments of mixture toxicity

Editorial: Exploration of Natural Product Leads for Multitarget-Based Treatment of Cancer-Computational to Experimental Journey

In vitro and in silico study of mixtures cytotoxicity of metal oxide nanoparticles to Escherichia coli: a mechanistic approach

Collaborators1

KABIRUDDIN KHAN

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