This book explores the transformative convergence of AI and phytochemistry. The book shows how AI is revolutionizing the discovery, design, and development of plant-based bioactive compounds by providing tools for structure identification, pharmacological prediction, compound optimization, and synthesis planning. Through machine learning, data analytics, and computational modeling, it demonstrates how AI accelerates and advances traditional phytochemical research.
Phytochemistry―the study of natural plant compounds―has long been foundational to drug discovery. Historically reliant on labor-intensive experiments, the field now faces a paradigm shift. AI offers scalable, data-driven methods that boost speed and accuracy, bridging classical phytochemistry with modern pharmaceutical innovation.
The book begins with foundational chapters on traditional phytochemistry and AI integration, including data sourcing and supply chain challenges. It then covers AI-assisted techniques for synthesis, extraction, isolation, and structural elucidation of bioactives. Later sections focus on simulation and optimization of drug candidates―such as property prediction, docking, virtual screening, and optimization algorithms. The final chapters explore pharmacological applications, collaborative models, ethical and legal considerations, and AI’s global impact in democratizing drug discovery.
This book is ideal for researchers, academicians, and professionals in pharmaceutical sciences, biotechnology, and phytochemistry. It also serves students, trainees, and policymakers interested in the intersection of AI and natural product-based drug discovery.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Dr. Yamin Bibi is Chairperson of the Department of Botany at Rawalpindi Women University, Pakistan. Her research focuses on plant-based natural products, particularly the isolation and characterization of bioactive compounds and their pharmacological evaluation. She has supervised numerous PhD and MPhil students, completed funded projects, and published widely in national and international journals. Recipient of multiple research awards, she brings her expertise in natural product chemistry and leadership as Corresponding Editor to highlight how artificial intelligence can accelerate discovery of plant-derived therapeutics.
Dr. Kulsoom Zahara is an emerging scholar in phytochemistry and pharmacognosy, she specializes in isolating and identifying bioactive compounds using advanced techniques such as HPLC-DAD and GC-MS. Her research explores anticancer and antimicrobial properties of diverse plants, with growing emphasis on in silico and AI-driven approaches to predict bioactivity and safety. She contributes expertise in plant-based drug discovery and food safety, underscoring the transformative role of AI in modern phytochemical research.
Dr. Adeeb Shehzad is Associate Professor at the Biodiversity Research Center, Dhofar University, Oman. A globally recognized biomedical scientist, his pioneering work spans molecular biology, nanomedicine, and translational therapeutics. With advanced degrees from Kyungpook National University, South Korea, and prior appointments in Pakistan and Saudi Arabia, he has published over 100 papers with an h-index of 34. His research on cell signaling, nanomaterials, and regenerative medicine bridges fundamental science with clinical innovation. Listed among the World’s Top 2% Scientists, he continues to advance biomedical education and sustainable health innovation.
Dr. Muhammad Jawad Khan is Associate Professor at Prince Sattam Bin Abdul Aziz University, Saudi Arabia. He specializes in artificial intelligence, disease modeling, and biomedical diagnostics, with a focus on neurological disorders. Holding a PhD in Mechanical Engineering from Pusan National University, South Korea, he has advanced hybrid EEG-fNIRS systems for neuro-robotics and medical diagnostics. His interdisciplinary work spans AI-driven modeling, robotics, and prosthetic limb design. Recognized among the World’s Top 2% Researchers (Stanford, 2022), he has secured major research funding and led award-winning projects such as the iMeche UAS Challenge 2022.
Dr. Marcello Iriti is Professor of Plant Biology and Pathology at the University of Milan, Italy. His research covers phytochemistry, pharmacology, nutraceuticals, and functional foods, with emphasis on plant secondary metabolites and the Mediterranean diet. Author of over 230 publications, he has advanced understanding of antioxidants, essential oils, and phytotherapeutics in preclinical and clinical contexts. He serves on editorial boards, is a member of the World Academy of Sciences, Asian Council of Science Editors, and Italian Pharmacological Society, and is a founding member of the Italian Society of Environmental Medicine. A dedicated mentor, he exemplifies integration of traditional phytochemistry with modern biomedical sciences.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis
Hardcover. Etat : new. Hardcover. This book explores the transformative convergence of AI and phytochemistry. The book shows how AI is revolutionizing the discovery, design, and development of plant-based bioactive compounds by providing tools for structure identification, pharmacological prediction, compound optimization, and synthesis planning. Through machine learning, data analytics, and computational modeling, it demonstrates how AI accelerates and advances traditional phytochemical research.Phytochemistrythe study of natural plant compoundshas long been foundational to drug discovery. Historically reliant on labor-intensive experiments, the field now faces a paradigm shift. AI offers scalable, data-driven methods that boost speed and accuracy, bridging classical phytochemistry with modern pharmaceutical innovation.The book begins with foundational chapters on traditional phytochemistry and AI integration, including data sourcing and supply chain challenges. It then covers AI-assisted techniques for synthesis, extraction, isolation, and structural elucidation of bioactives. Later sections focus on simulation and optimization of drug candidatessuch as property prediction, docking, virtual screening, and optimization algorithms. The final chapters explore pharmacological applications, collaborative models, ethical and legal considerations, and AIs global impact in democratizing drug discovery.This book is ideal for researchers, academicians, and professionals in pharmaceutical sciences, biotechnology, and phytochemistry. It also serves students, trainees, and policymakers interested in the intersection of AI and natural product-based drug discovery. AI offers scalable, data-driven methods that boost speed and accuracy, bridging classical phytochemistry with modern pharmaceutical innovation.The book begins with foundational chapters on traditional phytochemistry and AI integration, including data sourcing and supply chain challenges. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9789819208746
Quantité disponible : 1 disponible(s)
Vendeur : moluna, Greven, Allemagne
Etat : New. N° de réf. du vendeur 3118038542
Quantité disponible : 1 disponible(s)
Vendeur : Rheinberg-Buch Andreas Meier eK, Bergisch Gladbach, Allemagne
Buch. Etat : Neu. Neuware -This book explores the transformative convergence of AI and phytochemistry. The book shows how AI is revolutionizing the discovery, design, and development of plant-based bioactive compounds by providing tools for structure identification, pharmacological prediction, compound optimization, and synthesis planning. Through machine learning, data analytics, and computational modeling, it demonstrates how AI accelerates and advances traditional phytochemical research.Phytochemistry the study of natural plant compounds has long been foundational to drug discovery. Historically reliant on labor-intensive experiments, the field now faces a paradigm shift. AI offers scalable, data-driven methods that boost speed and accuracy, bridging classical phytochemistry with modern pharmaceutical innovation.The book begins with foundational chapters on traditional phytochemistry and AI integration, including data sourcing and supply chain challenges. It then covers AI-assisted techniques for synthesis, extraction, isolation, and structural elucidation of bioactives. Later sections focus on simulation and optimization of drug candidates such as property prediction, docking, virtual screening, and optimization algorithms. The final chapters explore pharmacological applications, collaborative models, ethical and legal considerations, and AI s global impact in democratizing drug discovery.This book is ideal for researchers, academicians, and professionals in pharmaceutical sciences, biotechnology, and phytochemistry. It also serves students, trainees, and policymakers interested in the intersection of AI and natural product-based drug discovery. 288 pp. Englisch. N° de réf. du vendeur 9789819208746
Quantité disponible : 1 disponible(s)
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Buch. Etat : Neu. Neuware -This book explores the transformative convergence of AI and phytochemistry. The book shows how AI is revolutionizing the discovery, design, and development of plant-based bioactive compounds by providing tools for structure identification, pharmacological prediction, compound optimization, and synthesis planning. Through machine learning, data analytics, and computational modeling, it demonstrates how AI accelerates and advances traditional phytochemical research.Phytochemistry the study of natural plant compounds has long been foundational to drug discovery. Historically reliant on labor-intensive experiments, the field now faces a paradigm shift. AI offers scalable, data-driven methods that boost speed and accuracy, bridging classical phytochemistry with modern pharmaceutical innovation.The book begins with foundational chapters on traditional phytochemistry and AI integration, including data sourcing and supply chain challenges. It then covers AI-assisted techniques for synthesis, extraction, isolation, and structural elucidation of bioactives. Later sections focus on simulation and optimization of drug candidates such as property prediction, docking, virtual screening, and optimization algorithms. The final chapters explore pharmacological applications, collaborative models, ethical and legal considerations, and AI s global impact in democratizing drug discovery.This book is ideal for researchers, academicians, and professionals in pharmaceutical sciences, biotechnology, and phytochemistry. It also serves students, trainees, and policymakers interested in the intersection of AI and natural product-based drug discovery. 288 pp. Englisch. N° de réf. du vendeur 9789819208746
Quantité disponible : 1 disponible(s)
Vendeur : CitiRetail, Stevenage, Royaume-Uni
Hardcover. Etat : new. Hardcover. This book explores the transformative convergence of AI and phytochemistry. The book shows how AI is revolutionizing the discovery, design, and development of plant-based bioactive compounds by providing tools for structure identification, pharmacological prediction, compound optimization, and synthesis planning. Through machine learning, data analytics, and computational modeling, it demonstrates how AI accelerates and advances traditional phytochemical research.Phytochemistrythe study of natural plant compoundshas long been foundational to drug discovery. Historically reliant on labor-intensive experiments, the field now faces a paradigm shift. AI offers scalable, data-driven methods that boost speed and accuracy, bridging classical phytochemistry with modern pharmaceutical innovation.The book begins with foundational chapters on traditional phytochemistry and AI integration, including data sourcing and supply chain challenges. It then covers AI-assisted techniques for synthesis, extraction, isolation, and structural elucidation of bioactives. Later sections focus on simulation and optimization of drug candidatessuch as property prediction, docking, virtual screening, and optimization algorithms. The final chapters explore pharmacological applications, collaborative models, ethical and legal considerations, and AIs global impact in democratizing drug discovery.This book is ideal for researchers, academicians, and professionals in pharmaceutical sciences, biotechnology, and phytochemistry. It also serves students, trainees, and policymakers interested in the intersection of AI and natural product-based drug discovery. AI offers scalable, data-driven methods that boost speed and accuracy, bridging classical phytochemistry with modern pharmaceutical innovation.The book begins with foundational chapters on traditional phytochemistry and AI integration, including data sourcing and supply chain challenges. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9789819208746
Quantité disponible : 1 disponible(s)
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Buch. Etat : Neu. Neuware - This book explores the transformative convergence of AI and phytochemistry. The book shows how AI is revolutionizing the discovery, design, and development of plant-based bioactive compounds by providing tools for structure identification, pharmacological prediction, compound optimization, and synthesis planning. Through machine learning, data analytics, and computational modeling, it demonstrates how AI accelerates and advances traditional phytochemical research.Phytochemistry the study of natural plant compounds has long been foundational to drug discovery. Historically reliant on labor-intensive experiments, the field now faces a paradigm shift. AI offers scalable, data-driven methods that boost speed and accuracy, bridging classical phytochemistry with modern pharmaceutical innovation.The book begins with foundational chapters on traditional phytochemistry and AI integration, including data sourcing and supply chain challenges. It then covers AI-assisted techniques for synthesis, extraction, isolation, and structural elucidation of bioactives. Later sections focus on simulation and optimization of drug candidates such as property prediction, docking, virtual screening, and optimization algorithms. The final chapters explore pharmacological applications, collaborative models, ethical and legal considerations, and AI s global impact in democratizing drug discovery.This book is ideal for researchers, academicians, and professionals in pharmaceutical sciences, biotechnology, and phytochemistry. It also serves students, trainees, and policymakers interested in the intersection of AI and natural product-based drug discovery. N° de réf. du vendeur 9789819208746
Quantité disponible : 1 disponible(s)
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Buch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book explores the transformative convergence of AI and phytochemistry. The book shows how AI is revolutionizing the discovery, design, and development of plant-based bioactive compounds by providing tools for structure identification, pharmacological prediction, compound optimization, and synthesis planning. Through machine learning, data analytics, and computational modeling, it demonstrates how AI accelerates and advances traditional phytochemical research.Phytochemistrythe study of natural plant compoundshas long been foundational to drug discovery. Historically reliant on labor-intensive experiments, the field now faces a paradigm shift. AI offers scalable, data-driven methods that boost speed and accuracy, bridging classical phytochemistry with modern pharmaceutical innovation.The book begins with foundational chapters on traditional phytochemistry and AI integration, including data sourcing and supply chain challenges. It then covers AI-assisted techniques for synthesis, extraction, isolation, and structural elucidation of bioactives. Later sections focus on simulation and optimization of drug candidatessuch as property prediction, docking, virtual screening, and optimization algorithms. The final chapters explore pharmacological applications, collaborative models, ethical and legal considerations, and AI's global impact in democratizing drug discovery.This book is ideal for researchers, academicians, and professionals in pharmaceutical sciences, biotechnology, and phytochemistry. It also serves students, trainees, and policymakers interested in the intersection of AI and natural product-based drug discovery.Springer Nature Customer Service Center GmbH, Europaplatz 3, 69115 Heidelberg 288 pp. Englisch. N° de réf. du vendeur 9789819208746
Quantité disponible : 1 disponible(s)
Vendeur : AussieBookSeller, Truganina, VIC, Australie
Hardcover. Etat : new. Hardcover. This book explores the transformative convergence of AI and phytochemistry. The book shows how AI is revolutionizing the discovery, design, and development of plant-based bioactive compounds by providing tools for structure identification, pharmacological prediction, compound optimization, and synthesis planning. Through machine learning, data analytics, and computational modeling, it demonstrates how AI accelerates and advances traditional phytochemical research.Phytochemistrythe study of natural plant compoundshas long been foundational to drug discovery. Historically reliant on labor-intensive experiments, the field now faces a paradigm shift. AI offers scalable, data-driven methods that boost speed and accuracy, bridging classical phytochemistry with modern pharmaceutical innovation.The book begins with foundational chapters on traditional phytochemistry and AI integration, including data sourcing and supply chain challenges. It then covers AI-assisted techniques for synthesis, extraction, isolation, and structural elucidation of bioactives. Later sections focus on simulation and optimization of drug candidatessuch as property prediction, docking, virtual screening, and optimization algorithms. The final chapters explore pharmacological applications, collaborative models, ethical and legal considerations, and AIs global impact in democratizing drug discovery.This book is ideal for researchers, academicians, and professionals in pharmaceutical sciences, biotechnology, and phytochemistry. It also serves students, trainees, and policymakers interested in the intersection of AI and natural product-based drug discovery. AI offers scalable, data-driven methods that boost speed and accuracy, bridging classical phytochemistry with modern pharmaceutical innovation.The book begins with foundational chapters on traditional phytochemistry and AI integration, including data sourcing and supply chain challenges. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. N° de réf. du vendeur 9789819208746
Quantité disponible : 1 disponible(s)