{"product_id":"9781394371082-computer-aided-drug-design-c","title":"Computer-Aided Drug Design","description":"\u003cmeta content=\"text\/html; charset=utf-8\" http-equiv=\"Content-Type\"\u003e\u003cp\u003e\u003cspan\u003ePrinciples, Techniques, and Applications\u003cbr\u003e\u003cp\u003e\u003cb\u003eIntegrate QSAR, molecular docking, AI, and nanotechnology into drug design\u003c\/b\u003e \u003c\/p\u003e\n\u003cp\u003eComputational approaches now drive critical decisions at every stage of drug discovery and development. \u003ci\u003eComputer-Aided Drug Design: Principles, Techniques, and Applications\u003c\/i\u003e provides an in-depth treatment of CADD methodologies, from QSAR and molecular docking to pharmacophore mapping and virtual screening. Written by Ajmer Singh Grewal, a pharmaceutical chemistry researcher with nearly 13 years of experience, each chapter links theoretical foundations directly to real-world drug design applications. \u003c\/p\u003e\n\u003cp\u003e\u003ci\u003eComputer-Aided Drug Design\u003c\/i\u003e covers molecular and quantum mechanics, energy minimization, ADMET prediction, de novo drug design, and homology modeling. The book integrates artificial intelligence, machine learning, and nanotechnology into its treatment of contemporary drug discovery workflows. Case studies demonstrate practical use of computational tools, connecting technique-level detail to tangible outcomes in anticancer, anti-diabetic, anti-inflammatory, and Alzheimer’s therapeutic research programs. \u003c\/p\u003e\n\u003cp\u003eReaders will also find: \u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eDetailed coverage of QSAR modeling, molecular docking protocols, and pharmacophore mapping with step-by-step computational methodologies for each technique\u003c\/li\u003e\n\u003cli\u003e Integration of artificial intelligence and machine learning approaches into structure-based and ligand-based drug design workflows\u003c\/li\u003e\n\u003cli\u003ePractical guidance on ADMET prediction tools and their application to optimizing drug candidate selectivity and efficacy\u003c\/li\u003e\n\u003cli\u003eReal-world case studies linking computational modeling to therapeutic outcomes across multiple disease areas including oncology and neurodegeneration\u003c\/li\u003e\n\u003cli\u003eCoverage of de novo drug design, homology modeling, and virtual screening techniques with current computational tools and software platforms\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003eDesigned for pharmaceutical scientists, computational chemists, bioinformatics and cheminformatics professionals, and advanced postgraduate students, this reference connects foundational CADD principles with current AI-driven and nanotechnology-enhanced approaches. It serves as a practical resource for researchers and drug developers seeking to apply computational methods across the drug discovery pipeline.\u003c\/p\u003e\n\u003cbr\u003e\u003cbr\u003e\u003c\/span\u003e\u003c\/p\u003e","brand":"Rarewaves","offers":[{"title":"Default Title","offer_id":58819790143862,"sku":"9781394371082","price":168.63,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0092\/7504\/8033\/files\/orig_43571688.jpg?v=1790800933","url":"https:\/\/www.rarewaves.com\/products\/9781394371082-computer-aided-drug-design-c","provider":"Rarewaves.com","version":"1.0","type":"link"}