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Supratik Kar

Showing results (71-80 of 83) with videos related to

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Nanotoxicology|September 23, 2022
<i>In vitro</i> and <i>in silico</i> study of mixtures cytotoxicity of metal oxide nanoparticles to <i>Escherichia coli</i>: a mechanistic approachSupratik Kar, Kavitha Pathakoti, Danuta Leszczynska, et al.
Medicinal Chemistry (Shariqah (United Arab Emirates))|July 23, 2024
Crucial Structural Understanding for Selective HDAC8 Inhibition: Common Pharmacophores, Molecular Docking, Molecular Dynamics, and Zinc Binder Analysis of selective HDAC8 inhibitorsKakali Sarkar, Sudhan Debnath, Debanjan Sen, et al.
Molecular Diversity|June 8, 2023
Structure-based drug design-guided identification of estrogen receptor bindersRojalini Samanta, Kishanta Kumar Pradhan, Debanjan Sen, et al.
Aquatic Toxicology (Amsterdam, Netherlands)|April 12, 2026
q-RASAR modeling of antibiotics-microplastics mixtures: Towards predictive aquatic toxicology and resistance risk assessmentShubha Das, Shruti Mukhopadhyay, Mainak Chatterjee, et al.
Current Pharmaceutical Design|July 24, 2019
Current Status in the Design and Development of Agonists and Antagonists of Adenosine A3 Receptor as Potential Therapeutic AgentsRaghu P Mailavaram, Omar H A Al-Attraqchi, Supratik Kar, et al.
Molecular Diversity|September 4, 2020
Therapeutics for COVID-19: from computation to practices-where we are, where we are heading toProbir Kumar Ojha, Supratik Kar, Jillella Gopala Krishna, et al.
Nanoscale|July 12, 2017
Inhibitors or toxins? Large library target-specific screening of fullerene-based nanoparticles for drug design purposeLucky Ahmed, Bakhtiyor Rasulev, Supratik Kar, et al.
Journal of Computational Chemistry|January 10, 2013
Some case studies on application of "r(m)2" metrics for judging quality of quantitative structure-activity relationship predictions: emphasis on scaling of response dataKunal Roy, Pratim Chakraborty, Indrani Mitra, et al.
Journal of Chemical Information and Modeling|December 29, 2011
Comparative studies on some metrics for external validation of QSPR modelsKunal Roy, Indrani Mitra, Supratik Kar, et al.
Critical Reviews in Toxicology|September 3, 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 learningArkaprava Banerjee, Supratik Kar, Kunal Roy, et al.
Pageof 9

Showing results (71-80 of 83) with videos related to

Sort By:
Pageof 9
Nanotoxicology|September 23, 2022
<i>In vitro</i> and <i>in silico</i> study of mixtures cytotoxicity of metal oxide nanoparticles to <i>Escherichia coli</i>: a mechanistic approachSupratik Kar, Kavitha Pathakoti, Danuta Leszczynska, et al.
Medicinal Chemistry (Shariqah (United Arab Emirates))|July 23, 2024
Crucial Structural Understanding for Selective HDAC8 Inhibition: Common Pharmacophores, Molecular Docking, Molecular Dynamics, and Zinc Binder Analysis of selective HDAC8 inhibitorsKakali Sarkar, Sudhan Debnath, Debanjan Sen, et al.
Molecular Diversity|June 8, 2023
Structure-based drug design-guided identification of estrogen receptor bindersRojalini Samanta, Kishanta Kumar Pradhan, Debanjan Sen, et al.
Aquatic Toxicology (Amsterdam, Netherlands)|April 12, 2026
q-RASAR modeling of antibiotics-microplastics mixtures: Towards predictive aquatic toxicology and resistance risk assessmentShubha Das, Shruti Mukhopadhyay, Mainak Chatterjee, et al.
Current Pharmaceutical Design|July 24, 2019
Current Status in the Design and Development of Agonists and Antagonists of Adenosine A3 Receptor as Potential Therapeutic AgentsRaghu P Mailavaram, Omar H A Al-Attraqchi, Supratik Kar, et al.
Molecular Diversity|September 4, 2020
Therapeutics for COVID-19: from computation to practices-where we are, where we are heading toProbir Kumar Ojha, Supratik Kar, Jillella Gopala Krishna, et al.
Nanoscale|July 12, 2017
Inhibitors or toxins? Large library target-specific screening of fullerene-based nanoparticles for drug design purposeLucky Ahmed, Bakhtiyor Rasulev, Supratik Kar, et al.
Journal of Computational Chemistry|January 10, 2013
Some case studies on application of "r(m)2" metrics for judging quality of quantitative structure-activity relationship predictions: emphasis on scaling of response dataKunal Roy, Pratim Chakraborty, Indrani Mitra, et al.
Journal of Chemical Information and Modeling|December 29, 2011
Comparative studies on some metrics for external validation of QSPR modelsKunal Roy, Indrani Mitra, Supratik Kar, et al.
Critical Reviews in Toxicology|September 3, 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 learningArkaprava Banerjee, Supratik Kar, Kunal Roy, et al.
Pageof 9