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Hardcover. Zustand: new. Hardcover. This book is a meticulously crafted compendium that delves into the rich phytochemistry and diverse pharmacological potentials of the neem plant (Azadirachta indica). Renowned for its enduring significance in traditional medicine across various cultures, neem has been a cornerstone in both ancient and contemporary medicinal practices. This book offers an extensive exploration of neem's historical background, botanical description, and traditional uses, setting the stage for a deeper understanding of its multifaceted applications. Each chapter in this publication is dedicated to a specific class of phytoconstituents found in Neem, such as terpenoids, flavonoids, polysaccharides, limonoids, and triterpenoids, providing detailed insights into their chemical structures, properties, and therapeutic potentials. Key compounds like azadirachtin, nimbin, nimbolide, quercetin, gedunin, and salannin are thoroughly examined, highlighting their pharmacological activities, including insecticidal, anti-inflammatory, antineoplastic, antioxidant, antimicrobial, and immunomodulatory effects. This book also discusses their practical applications in areas such as pest control, wound healing, cardiovascular health, neuroprotection, and oral health. In addition to phytochemical analysis, this publication covers advanced methods for the extraction and analysis of these bioactive compounds, ensuring readers gain a comprehensive understanding of their practical applications. The final chapters focus on the development of neem-based formulations, clinical trials, safety assessments, and future prospects in medicine and healthcare, emphasizing neem's potential for innovative therapeutic applications. This book is designed to serve as an invaluable resource for graduate and postgraduate students, researchers, and healthcare professionals. Those studying pharmacy, pharmacology, botany, medicinal chemistry, and related fields will find this book particularly beneficial. Researchers engaged in natural product research and drug development will appreciate the extensive insights into neem's therapeutic potential, while healthcare professionals interested in alternative and complementary medicine will find the discussions on neem-based formulations and clinical trials informative for evidence-based practice. This book not only aims to advance the academic understanding of neem's phytochemistry and pharmacology but also seeks to inspire further research and innovation in the development of new therapeutic applications. Whether you are a student, researcher, or healthcare professional, this book is an essential addition to your library, offering a wealth of knowledge and a solid foundation for future explorations in the field of natural products and medicinal plants. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

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Hardcover. Zustand: new. Hardcover. Integrate QSAR, molecular docking, AI, and nanotechnology into drug design Computational approaches now drive critical decisions at every stage of drug discovery and development. Computer-Aided Drug Design: Principles, Techniques, and Applications 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. Computer-Aided Drug Design 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 Alzheimers therapeutic research programs. Readers will also find: Detailed coverage of QSAR modeling, molecular docking protocols, and pharmacophore mapping with step-by-step computational methodologies for each technique Integration of artificial intelligence and machine learning approaches into structure-based and ligand-based drug design workflowsPractical guidance on ADMET prediction tools and their application to optimizing drug candidate selectivity and efficacyReal-world case studies linking computational modeling to therapeutic outcomes across multiple disease areas including oncology and neurodegenerationCoverage of de novo drug design, homology modeling, and virtual screening techniques with current computational tools and software platforms Designed 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

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Hardback. Zustand: New. Integrate QSAR, molecular docking, AI, and nanotechnology into drug design Computational approaches now drive critical decisions at every stage of drug discovery and development. Computer-Aided Drug Design: Principles, Techniques, and Applications 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. Computer-Aided Drug Design 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. Readers will also find: Detailed coverage of QSAR modeling, molecular docking protocols, and pharmacophore mapping with step-by-step computational methodologies for each technique Integration of artificial intelligence and machine learning approaches into structure-based and ligand-based drug design workflowsPractical guidance on ADMET prediction tools and their application to optimizing drug candidate selectivity and efficacyReal-world case studies linking computational modeling to therapeutic outcomes across multiple disease areas including oncology and neurodegenerationCoverage of de novo drug design, homology modeling, and virtual screening techniques with current computational tools and software platforms Designed 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.…

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Hardback. Zustand: New. New Book, Direct from Publisher.

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Hardcover. Zustand: new. Hardcover. Integrate QSAR, molecular docking, AI, and nanotechnology into drug design Computational approaches now drive critical decisions at every stage of drug discovery and development. Computer-Aided Drug Design: Principles, Techniques, and Applications 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. Computer-Aided Drug Design 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 Alzheimers therapeutic research programs. Readers will also find: Detailed coverage of QSAR modeling, molecular docking protocols, and pharmacophore mapping with step-by-step computational methodologies for each technique Integration of artificial intelligence and machine learning approaches into structure-based and ligand-based drug design workflowsPractical guidance on ADMET prediction tools and their application to optimizing drug candidate selectivity and efficacyReal-world case studies linking computational modeling to therapeutic outcomes across multiple disease areas including oncology and neurodegenerationCoverage of de novo drug design, homology modeling, and virtual screening techniques with current computational tools and software platforms Designed 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Taschenbuch. Zustand: Neu. Neuware.

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Hardcover. Zustand: Brand New. 448 pages. 6.93x1.02x9.88 inches. In Stock.

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Buch. Zustand: Neu. Neuware - This book is a meticulously crafted compendium that delves into the rich phytochemistry and diverse pharmacological potentials of the neem plant (Azadirachta indica). Renowned for its enduring significance in traditional medicine across various cultures, neem has been a cornerstone in both ancient and contemporary medicinal practices. This book offers an extensive exploration of neem's historical background, botanical description, and traditional uses, setting the stage for a deeper understanding of its multifaceted applications. Each chapter in this publication is dedicated to a specific class of phytoconstituents found in Neem, such as terpenoids, flavonoids, polysaccharides, limonoids, and triterpenoids, providing detailed insights into their chemical structures, properties, and therapeutic potentials. Key compounds like azadirachtin, nimbin, nimbolide, quercetin, gedunin, and salannin are thoroughly examined, highlighting their pharmacological activities, including insecticidal, anti-inflammatory, antineoplastic, antioxidant, antimicrobial, and immunomodulatory effects. This book also discusses their practical applications in areas such as pest control, wound healing, cardiovascular health, neuroprotection, and oral health. In addition to phytochemical analysis, this publication covers advanced methods for the extraction and analysis of these bioactive compounds, ensuring readers gain a comprehensive understanding of their practical applications. The final chapters focus on the development of neem-based formulations, clinical trials, safety assessments, and future prospects in medicine and healthcare, emphasizing neem's potential for innovative therapeutic applications. This book is designed to serve as an invaluable resource for graduate and postgraduate students, researchers, and healthcare professionals. Those studying pharmacy, pharmacology, botany, medicinal chemistry, and related fields will find this book particularly beneficial. Researchers engaged in natural product research and drug development will appreciate the extensive insights into neem's therapeutic potential, while healthcare professionals interested in alternative and complementary medicine will find the discussions on neem-based formulations and clinical trials informative for evidence-based practice. This book not only aims to advance the academic understanding of neem's phytochemistry and pharmacology but also seeks to inspire further research and innovation in the development of new therapeutic applications. Whether you are a student, researcher, or healthcare professional, this book is an essential addition to your library, offering a wealth of knowledge and a solid foundation for future explorations in the field of natural products and medicinal plants.…

Zustand: As New. Unread book in perfect condition.

Zustand: New.

Buch. Zustand: Neu. Neuware - Integrate QSAR, molecular docking, AI, and nanotechnology into drug design Computational approaches now drive critical decisions at every stage of drug discovery and development. Computer-Aided Drug Design: Principles, Techniques, and Applications 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. Computer-Aided Drug Design 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. Readers will also find: - Detailed coverage of QSAR modeling, molecular docking protocols, and pharmacophore mapping with step-by-step computational methodologies for each technique- Integration of artificial intelligence and machine learning approaches into structure-based and ligand-based drug design workflows- Practical guidance on ADMET prediction tools and their application to optimizing drug candidate selectivity and efficacy- Real-world case studies linking computational modeling to therapeutic outcomes across multiple disease areas including oncology and neurodegeneration- Coverage of de novo drug design, homology modeling, and virtual screening techniques with current computational tools and software platforms Designed 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.…

Zustand: As New. Unread book in perfect condition.

Hardback. Zustand: New. Integrate QSAR, molecular docking, AI, and nanotechnology into drug design Computational approaches now drive critical decisions at every stage of drug discovery and development. Computer-Aided Drug Design: Principles, Techniques, and Applications 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. Computer-Aided Drug Design 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. Readers will also find: Detailed coverage of QSAR modeling, molecular docking protocols, and pharmacophore mapping with step-by-step computational methodologies for each technique Integration of artificial intelligence and machine learning approaches into structure-based and ligand-based drug design workflowsPractical guidance on ADMET prediction tools and their application to optimizing drug candidate selectivity and efficacyReal-world case studies linking computational modeling to therapeutic outcomes across multiple disease areas including oncology and neurodegenerationCoverage of de novo drug design, homology modeling, and virtual screening techniques with current computational tools and software platforms Designed 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.…

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Hardback. Zustand: New.