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Kunal Roy

Showing results (131-140 of 287) with videos related to

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Scientia Pharmaceutica|May 28, 2011
Chemometric QSAR modeling and in silico design of antioxidant NO donor phenolsIndrani Mitra, Achintya Saha, Kunal Roy
Methods in Molecular Biology (Clifton, N.J.)|February 21, 2022
In Silico Tools and Software to Predict ADMET of New Drug CandidatesSupratik Kar, Kunal Roy, Jerzy Leszczynski
Current Computer-Aided Drug Design|June 10, 2017
A Comparative Study on Selective PPAR Modulators through Quantitative Structure-activity Relationship, Pharmacophore and Docking AnalysesAshis Nandy, Kunal Roy, Achintya Saha
The Science of the Total Environment|July 6, 2025
Prediction of bioconcentration factors (BCFs) and bioaccumulation factors (BAFs) for per- and polyfluoroalkyl substances (PFASs) using Read-Across and q-RASPRAkash Chandra, Arkaprava Banerjee, Kunal Roy
Scientia Pharmaceutica|May 4, 2013
Predictive Modeling of Antioxidant Coumarin Derivatives Using Multiple Approaches: Descriptor-Based QSAR, 3D-Pharmacophore Mapping, and HQSARIndrani Mitra, Achintya Saha, Kunal Roy
Journal of Biomolecular Structure & Dynamics|September 15, 2020
Exploring CIP2A modulators using multiple molecular modeling approachesShovonlal Bhowmick, Kunal Roy, Achintya Saha
Molecular Informatics|February 20, 2024
Application of machine learning-based read-across structure-property relationship (RASPR) as a new tool for predictive modelling: Prediction of power conversion efficiency (PCE) for selected classes of organic dyes in dye-sensitized solar cells (DSSCs)Souvik Pore, Arkaprava Banerjee, Kunal Roy
Journal of Agricultural and Food Chemistry|June 9, 2023
Predictive Quantitative Read-Across Structure-Property Relationship Modeling of the Retention Time (Log Shilpayan Ghosh, Mainak Chatterjee, Kunal Roy
Chemical Research in Toxicology|March 25, 2026
Machine Learning-Based Quantitative Structure Activity Relationship Modeling of Repeated Dose Toxicity: A Data-Driven Approach Following Organisation for Economic Co-operation and Development Test Guidelines 407, 408, and 422 Supported by Experimental ValidationSouvik Pore, Zsuzsanna Szepesi, Kunal Roy
Journal of Molecular Modeling|August 19, 2011
Development of multiple QSAR models for consensus predictions and unified mechanistic interpretations of the free-radical scavenging activities of chromone derivativesIndrani Mitra, Achintya Saha, Kunal Roy
Pageof 29

Showing results (131-140 of 287) with videos related to

Sort By:
Pageof 29
Scientia Pharmaceutica|May 28, 2011
Chemometric QSAR modeling and in silico design of antioxidant NO donor phenolsIndrani Mitra, Achintya Saha, Kunal Roy
Methods in Molecular Biology (Clifton, N.J.)|February 21, 2022
In Silico Tools and Software to Predict ADMET of New Drug CandidatesSupratik Kar, Kunal Roy, Jerzy Leszczynski
Current Computer-Aided Drug Design|June 10, 2017
A Comparative Study on Selective PPAR Modulators through Quantitative Structure-activity Relationship, Pharmacophore and Docking AnalysesAshis Nandy, Kunal Roy, Achintya Saha
The Science of the Total Environment|July 6, 2025
Prediction of bioconcentration factors (BCFs) and bioaccumulation factors (BAFs) for per- and polyfluoroalkyl substances (PFASs) using Read-Across and q-RASPRAkash Chandra, Arkaprava Banerjee, Kunal Roy
Scientia Pharmaceutica|May 4, 2013
Predictive Modeling of Antioxidant Coumarin Derivatives Using Multiple Approaches: Descriptor-Based QSAR, 3D-Pharmacophore Mapping, and HQSARIndrani Mitra, Achintya Saha, Kunal Roy
Journal of Biomolecular Structure & Dynamics|September 15, 2020
Exploring CIP2A modulators using multiple molecular modeling approachesShovonlal Bhowmick, Kunal Roy, Achintya Saha
Molecular Informatics|February 20, 2024
Application of machine learning-based read-across structure-property relationship (RASPR) as a new tool for predictive modelling: Prediction of power conversion efficiency (PCE) for selected classes of organic dyes in dye-sensitized solar cells (DSSCs)Souvik Pore, Arkaprava Banerjee, Kunal Roy
Journal of Agricultural and Food Chemistry|June 9, 2023
Predictive Quantitative Read-Across Structure-Property Relationship Modeling of the Retention Time (Log Shilpayan Ghosh, Mainak Chatterjee, Kunal Roy
Chemical Research in Toxicology|March 25, 2026
Machine Learning-Based Quantitative Structure Activity Relationship Modeling of Repeated Dose Toxicity: A Data-Driven Approach Following Organisation for Economic Co-operation and Development Test Guidelines 407, 408, and 422 Supported by Experimental ValidationSouvik Pore, Zsuzsanna Szepesi, Kunal Roy
Journal of Molecular Modeling|August 19, 2011
Development of multiple QSAR models for consensus predictions and unified mechanistic interpretations of the free-radical scavenging activities of chromone derivativesIndrani Mitra, Achintya Saha, Kunal Roy
Pageof 29