{"title":"Kunal Roy","description":null,"products":[{"product_id":"computational-modeling-of-drugs-against-alzheimer-s-disease-humana-press-inc-9781493974030-kunal-roy","title":"Computational Modeling of Drugs Against Alzheimer’s Disease","description":"\u003cp\u003eDiscover the cutting-edge research in \u003cstrong\u003eComputational Modeling of Drugs Against Alzheimer’s Disease\u003c\/strong\u003e by \u003cstrong\u003eKunal Roy\u003c\/strong\u003e, published by \u003cstrong\u003eHumana Press Inc.\u003c\/strong\u003e in 2018. This comprehensive volume spans 645 pages and delves into various computational methods essential for developing effective anti-Alzheimer drugs. Explore ligand-based approaches such as QSAR and pharmacophore modeling, alongside structure-based techniques including homology modeling, docking, and molecular dynamics simulation. The book also covers combined approaches like virtual screening, providing a robust framework for drug design. Ideal for researchers and professionals in the field, this first edition serves as a vital resource for understanding the complexities of Alzheimer's disease and the innovative strategies employed in drug discovery.\u003c\/p\u003e","brand":"Kunal Roy","offers":[{"title":"Default Title","offer_id":52248085561686,"sku":"9781493974030","price":157.62,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0886\/3206\/6390\/files\/9781493974030.jpg?v=1767773899"},{"product_id":"q-rasar-springer-international-publishing-ag-9783031520563-a-path-to-predictive-cheminformatics-kunal-roy","title":"q-RASAR","description":"\u003cp\u003eDiscover the intriguing world of quantitative read-across structure-activity relationships (q-RASAR) with the insightful book by Kunal Roy, published by Springer International Publishing AG in 2024. This first edition, comprising 91 pages, serves as a comprehensive introduction to this innovative cheminformatics modeling approach. q-RASAR builds upon the foundations of quantitative structure-activity relationships (QSAR) and read-across (RA) methodologies, offering valuable insights into data gap-filling techniques. Ideal for researchers and professionals in the field, this book is a must-have resource for anyone looking to deepen their understanding of q-RASAR and its applications. 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This comprehensive volume spans 830 pages and delves into the intricate world of computational modeling related to the ecotoxicity of chemicals. It expertly presents the applications of quantitative structure–activity relationship models (QSARs) within the predictive toxicology field, particularly in a regulatory context. Perfect for researchers, regulatory professionals, and students alike, this book serves as a vital resource for understanding the implications of chemical safety and environmental impact. 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