artificial intelligence drug design (16 Ergebnisse)

Taschenbuch. Zustand: Neu. Neuware -'AI in Drug Design' is a book that explores the intersection of artificial intelligence (AI) and pharmaceutical research. Written by experts in the field, it highlights the innovative ways in which AI is revolutionizing the process of drug discovery and design.The book delves into various AI techniques and algorithms employed in drug design, such as machine learning, deep learning, and data mining. It showcases how these techniques are used to analyze vast amounts of biological and chemical data, accelerating the identification and optimization of potential drug candidates. Readers will gain insights into the applications of AI in target identification, virtual screening, molecular docking, and de novo drug design. The authors discuss how AI algorithms can predict the activity and toxicity of drug compounds, enabling researchers to prioritize promising candidates and reduce the time and cost associated with traditional trial-and-error approaches.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 56 pp. Englisch.

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Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

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Taschenbuch. Zustand: Neu. Neuware -This volume looks at applications of artificial intelligence (AI), machine learning (ML), and deep learning (DL) in drug design. The chapters in this book describe how AI/ML/DL approaches can be applied to accelerate and revolutionize traditional drug design approaches such as: structure- and ligand-based, augmented and multi-objective de novo drug design, SAR and big data analysis, prediction of binding/activity, ADMET, pharmacokinetics and drug-target residence time, precision medicine and selection of favorable chemical synthetic routes. How broadly are these approaches applied and where do they maximally impact productivity today and potentially in the near future. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary software and tools, step-by-step, readily reproducible modeling protocols, and tips on troubleshooting and avoiding known pitfalls.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 544 pp. Englisch.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This volume looks at applications of artificial intelligence (AI), machine learning (ML), and deep learning (DL) in drug design. The chapters in this book describe how AI/ML/DL approaches can be applied to accelerate and revolutionize traditional drug design approaches such as: structure- and ligand-based, augmented and multi-objective de novo drug design, SAR and big data analysis, prediction of binding/activity, ADMET, pharmacokinetics and drug-target residence time, precision medicine and selection of favorable chemical synthetic routes. How broadly are these approaches applied and where do they maximally impact productivity today and potentially in the near future. Writtenin the highly successfulMethods in Molecular Biologyseries format, chapters include introductions to their respective topics, lists of the necessary software and tools, step-by-step, readily reproducible modeling protocols, and tips on troubleshooting and avoiding known pitfalls.Cutting-edge andunique,Artificial Intelligence in Drug Design is a valuable resource for structural and molecular biologists, computational and medicinal chemists, pharmacologists and drug designers.

Zustand: New. In.

Zustand: New. In.

Zustand: New. Abhirup Khanna is an assistant professor in the School of Computer Science, University of Petroleum and Energy Studies, Dehradun, India. He has a strong background in education and research. His research areas focus on AI and Blockchain technology and drivi.

Zustand: New.

Buch. Zustand: Neu. Neuware -This volume looks at applications of artificial intelligence (AI), machine learning (ML), and deep learning (DL) in drug design. The chapters in this book describe how AI/ML/DL approaches can be applied to accelerate and revolutionize traditional drug design approaches such as: structure- and ligand-based, augmented and multi-objective de novo drug design, SAR and big data analysis, prediction of binding/activity, ADMET, pharmacokinetics and drug-target residence time, precision medicine and selection of favorable chemical synthetic routes. How broadly are these approaches applied and where do they maximally impact productivity today and potentially in the near future. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary software and tools, step-by-step, readily reproducible modeling protocols, and tips on troubleshooting and avoiding known pitfalls.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 544 pp. Englisch.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This volume looks at applications of artificial intelligence (AI), machine learning (ML), and deep learning (DL) in drug design. The chapters in this book describe how AI/ML/DL approaches can be applied to accelerate and revolutionize traditional drug design approaches such as: structure- and ligand-based, augmented and multi-objective de novo drug design, SAR and big data analysis, prediction of binding/activity, ADMET, pharmacokinetics and drug-target residence time, precision medicine and selection of favorable chemical synthetic routes. How broadly are these approaches applied and where do they maximally impact productivity today and potentially in the near future. Writtenin the highly successfulMethods in Molecular Biologyseries format, chapters include introductions to their respective topics, lists of the necessary software and tools, step-by-step, readily reproducible modeling protocols, and tips on troubleshooting and avoiding known pitfalls.Cutting-edge andunique,Artificial Intelligence in Drug Design is a valuable resource for structural and molecular biologists, computational and medicinal chemists, pharmacologists and drug designers.

Hardcover. Zustand: Brand New. 400 pages. 7.00x1.50x10.00 inches. In Stock.

Zustand: New. 2024. 1st Edition. hardcover. . . . . . Books ship from the US and Ireland.

Buch. Zustand: Neu. Neuware - The book is a comprehensive guide that explores the use of artificial intelligence and machine learning in drug discovery and development covering a range of topics, including the use of molecular modeling, docking, identifying targets, selecting compounds, and optimizing drugs.

Hardcover. Zustand: Brand New. 540 pages. 10.00x7.00x1.30 inches. In Stock.