Kunal Roy

Kunal Roy is an Associate Professor in the Department of Pharmaceutical Technology, Jadavpur University, Kolkata, India, and Fellow in the Manchester Institute of Biotechnology, University of Manchester, United Kingdom. He is an Associate Editor of the Springer journal, Molecular Diversity, and a member of the Editorial Advisory Board of European Journal of Medicinal Chemistry (Elsevier). The field of his research interest is QSAR and Molecular Modeling. Dr. Roy has published more than 200 research papers in refereed journals.

Publications

Can Toxicity for Different Species Be Correlated?: The Concept and Emerging Applications of Interspecies Quantitative Structure-Toxicity Relationship (i-QSTR) Modeling
Supratik Kar, Rudra Narayan Das, Kunal Roy, Jerzy Leszczynski. © 2017. 33 pages.
Experimental evaluation of the toxicity of a compound is an expensive practice, and it requires sacrifice of a large number of animals. As a consequence, in silico techniques for...
The “ETA” Indices in QSAR/QSPR/QSTR Research
Kunal Roy, Rudra Narayan Das. © 2017. 34 pages.
Descriptors are one of the most essential components of predictive Quantitative Structure-Activity/Property/Toxicity Relationship (QSAR/QSPR/QSTR) modeling analysis, as they...
Importance of Applicability Domain of QSAR Models
Kunal Roy, Supratik Kar. © 2017. 32 pages.
Quantitative Structure-Activity Relationship (QSAR) models have manifold applications in drug discovery, environmental fate modeling, risk assessment, and property prediction of...
International Journal of Quantitative Structure-Property Relationships (IJQSPR)
Kunal Roy. Est. 2016.
The International Journal of Quantitative Structure-Property Relationships (IJQSPR) is a new journal that will explore the latest research surrounding the topic of Quantitative...
Scoring Functions in Docking Experiments
Pravin Ambure, Kunal Roy. © 2016. 45 pages.
Molecular docking is a computational technique used to predict the binding orientation of a molecule while interacting with other molecule and finally quantify the...
Quantitative Structure-Activity Relationships in Drug Design, Predictive Toxicology, and Risk Assessment
Kunal Roy. © 2015. 703 pages.
Quantitative structure-activity relationships (QSARs) represent predictive models derived from the application of statistical tools correlating biological activity or other...
The “ETA” Indices in QSAR/QSPR/QSTR Research
Kunal Roy, Rudra Narayan Das. © 2015. 36 pages.
Descriptors are one of the most essential components of predictive Quantitative Structure-Activity/Property/Toxicity Relationship (QSAR/QSPR/QSTR) modeling analysis, as they...
Importance of Applicability Domain of QSAR Models
Kunal Roy, Supratik Kar. © 2015. 32 pages.
Quantitative Structure-Activity Relationship (QSAR) models have manifold applications in drug discovery, environmental fate modeling, risk assessment, and property prediction of...
On Extended Topochemical Atom (ETA) Indices for QSPR Studies
Kunal Roy, Rudra Narayan Das. © 2014. 33 pages.
Development of predictive models has been accepted as an important strategy to aid in toxicity screening of chemicals, determination of physicochemical as well as other...
On Extended Topochemical Atom (ETA) Indices for QSPR Studies
Kunal Roy, Rudra Narayan Das. © 2012. 32 pages.
Development of predictive models has been accepted as an important strategy to aid in toxicity screening of chemicals, determination of physicochemical as well as other...