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SELECTBIO Conferences Drug Discovery & Development

Kunal Roy's Biography



Kunal Roy, Associate Professor, Jadavpur University

Dr. Kunal Roy (https://sites.google.com/site/kunalroyindia/) is a Professor in the Department of Pharmaceutical Technology, Jadavpur University, Kolkata, India. He has been a recipient of Commonwealth Academic Staff Fellowship (University of Manchester, 2007) and Marie Curie International Fellowship (University of Manchester, 2013). The field of his research interest is QSAR and Molecular Modeling with application in Drug Design and Ectoxicological Modeling. Dr. Roy has published more than 250 research papers in refereed journals. He has also coauthored QSAR related books entitled “Understanding the Basics of QSAR for Applications in Pharmaceutical Sciences and Risk Assessment” (Elsevier, 2015) and “A Primer on QSAR/QSPR Modeling: Fundamental Concepts” (Springer, 2015) and edited “Quantitative Structure-Activity Relationships in Drug Design, Predictive Toxicology, and Risk Assessment” (IGI Global, 2015). His current h-index is 35 (SCOPUS). Prof. Roy is the editor-in-Chief of International Journal of Quantitative Structure-Property Relationships (IJQSPR)[IGI Global] and an Associate Editor of Molecular Diversity[Springer]. He is also a member of the Editorial Advisory Boards of (1) European Journal of Medicinal Chemistry[Elsevier], (2) Journal of Molecular Graphics and Modelling [Elsevier] (3) Chemical Biology and Drug Design[Wiley], (4) Expert Opinion on Drug Discovery[Informa], (5) Letters in Drug Design and Discovery[Bentham], (6) Current Computer-Aided Drug Design [Bentham]. Prof. Roy is also a recipient of several awards including Bioorganic and Medicinal Chemistry Most Cited Paper 2003-2006, 2004-2007 and 2006-2009 Awards from Elsevier, The Netherlands, Bioorganic and Medicinal Chemistry Letters Most Cited Paper 2006-2009 Award from Elsevier, The Netherlands.

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On the Use of rm2 Metrics for Validation of Predictive QSAR Models with Applications in Virtual Screening and Focused Library Design

Wednesday, 31 October 2012 at 10:00

Add to Calendar ▼2012-10-31 10:00:002012-10-31 11:00:00Europe/LondonOn the Use of rm2 Metrics for Validation of Predictive QSAR Models with Applications in Virtual Screening and Focused Library DesignSELECTBIOenquiries@selectbiosciences.com

The success of any QSAR model depends on accuracy of the input data, selection of appropriate descriptors and statistical tools, and most importantly validation of the developed model, which checks the reliability and relevance of the developed model for a particular endpoint. Our group has recently developed a set of rm2 parameters, which serve as a more stringent measure for assessment of model predictivity compared to the traditional validation parameters.


Add to Calendar ▼2012-10-30 00:00:002012-10-31 00:00:00Europe/LondonDrug Discovery and DevelopmentSELECTBIOenquiries@selectbiosciences.com