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Supratik Kar

Showing results (81-90 of 83) with videos related to

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Journal of Biomolecular Structure & Dynamics|August 16, 2020
Protein reliability analysis and virtual screening of natural inhibitors for SARS-CoV-2 main protease (M<sup>pro</sup>) through docking, molecular mechanic & dynamic, and ADMET profilingKarina Kapusta, Supratik Kar, Jasmine T Collins, et al.
Ecotoxicology and Environmental Safety|February 1, 2025
Decoding cyanide toxicity: Integrating Quantitative Structure-Toxicity Relationships (QSTR) with species sensitivity distributions and q-RASTR modelingKabiruddin Khan, Ramin Abdullayev, Gopala Krishna Jillella, et al.
Journal of Computer-Aided Molecular Design|June 8, 2026
A round-robin exercise for the precise prediction of aqueous solubility of organic chemicals using chemometric, machine learning, and stacking ensemble of deep learning modelsArkaprava Banerjee, Vinay Kumar, Shubha Das, et al.
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Showing results (81-90 of 83) with videos related to

Sort By:
Pageof 9
You have reached the last page of results.This site can display upto 83 results.
Journal of Biomolecular Structure & Dynamics|August 16, 2020
Protein reliability analysis and virtual screening of natural inhibitors for SARS-CoV-2 main protease (M<sup>pro</sup>) through docking, molecular mechanic & dynamic, and ADMET profilingKarina Kapusta, Supratik Kar, Jasmine T Collins, et al.
Ecotoxicology and Environmental Safety|February 1, 2025
Decoding cyanide toxicity: Integrating Quantitative Structure-Toxicity Relationships (QSTR) with species sensitivity distributions and q-RASTR modelingKabiruddin Khan, Ramin Abdullayev, Gopala Krishna Jillella, et al.
Journal of Computer-Aided Molecular Design|June 8, 2026
A round-robin exercise for the precise prediction of aqueous solubility of organic chemicals using chemometric, machine learning, and stacking ensemble of deep learning modelsArkaprava Banerjee, Vinay Kumar, Shubha Das, et al.
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