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Publicado por Taylor and Francis Ltd, 2025
ISBN 10: 1032817003 ISBN 13: 9781032817002
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Añadir al carritoHRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.
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Publicado por Taylor and Francis Ltd, 2025
ISBN 10: 1032817003 ISBN 13: 9781032817002
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Añadir al carritoHRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
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Añadir al carritoCondición: New. 1st edition NO-PA16APR2015-KAP.
Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Original o primera edición
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Añadir al carritoCondición: New. 2025. 1st Edition. hardcover. . . . . .
Librería: Biblios, Frankfurt am main, HESSE, Alemania
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Publicado por Taylor and Francis Ltd, GB, 2025
ISBN 10: 1032817003 ISBN 13: 9781032817002
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
EUR 265,63
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Añadir al carritoHardback. Condición: New. This book comprehensively covers the principles, methodology, and applications of network pharmacology in drug discovery, pharmacovigilance, and precision medicine. The initial chapters guide readers through the principles and processes, detailing step-by-step procedures such as creating networks for compounds and disease targets. The intersection of network pharmacology with quantitative systems pharmacology is explored, along with an examination of various databases and essential software tools for conducting network pharmacological studies. It discusses the role of machine learning and AI in network pharmacology, delves into the application of systems biology for understanding complex diseases' pathogenesis, and highlights its contribution to drug discovery and repurposing. The book reviews the role of network pharmacology in different stages of drug discovery and repurposing, emphasizing its application in shaping drug formulations for enhanced efficacy and reduced side effects. Towards the end, it addresses translatability issues in drug discovery and repositioning predictions in clinical practice. This book caters to professionals, researchers, and advanced students in the pharmaceutical sciences. Key Features:Presents principles, methodologies, and applications of network pharmacologyExplores the intersection of network pharmacology with quantitative systems pharmacologyHighlights the role of machine learning and artificial intelligence in network pharmacologyReviews the role of network pharmacology in different stages of drug discovery and repurposingExamines the pivotal role of network pharmacology in precision medicine.
EUR 208,98
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Añadir al carritoCondición: New. Anoop Kumar currently working as an Assistant Professor in the Department of Pharmacology, Delhi Institute of Pharmaceutical Education and Research (DIPSAR), Delhi Pharmaceutical Sciences & Research University (DPSRU), Govt of NCT of Delhi. He.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 255,87
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Añadir al carritoHardcover. Condición: Brand New. 240 pages. 11.00x8.25x0.91 inches. In Stock.
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Publicado por Taylor & Francis Ltd Nov 2025, 2025
ISBN 10: 1032817003 ISBN 13: 9781032817002
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 231,92
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Añadir al carritoBuch. Condición: Neu. Neuware - This book comprehensively covers the principles, methodology, and applications of network pharmacology in drug discovery, pharmacovigilance, and precision medicine. The initial chapters guide readers through the principles and processes, detailing step-by-step procedures such as creating networks for compounds and disease targets. The intersection of network pharmacology with quantitative systems pharmacology is explored, along with an examination of various databases and essential software tools for conducting network pharmacological studies. It discusses the role of machine learning and AI in network pharmacology, delves into the application of systems biology for understanding complex diseases' pathogenesis, and highlights its contribution to drug discovery and repurposing. The book reviews the role of network pharmacology in different stages of drug discovery and repurposing, emphasizing its application in shaping drug formulations for enhanced efficacy and reduced side effects. Towards the end, it addresses translatability issues in drug discovery and repositioning predictions in clinical practice. This book caters to professionals, researchers, and advanced students in the pharmaceutical sciences.
Librería: Kennys Bookstore, Olney, MD, Estados Unidos de America
EUR 305,43
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Añadir al carritoCondición: New. 2025. 1st Edition. hardcover. . . . . . Books ship from the US and Ireland.
Librería: preigu, Osnabrück, Alemania
EUR 244,50
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Añadir al carritoBuch. Condición: Neu. Network Pharmacology | Principles, Processes, and Applications | Anoop Kumar (u. a.) | Buch | Einband - fest (Hardcover) | Englisch | 2025 | Taylor & Francis Ltd | EAN 9781032817002 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
Idioma: Inglés
Publicado por Taylor and Francis Ltd, GB, 2025
ISBN 10: 1032817003 ISBN 13: 9781032817002
Librería: Rarewaves.com UK, London, Reino Unido
EUR 252,01
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Añadir al carritoHardback. Condición: New. This book comprehensively covers the principles, methodology, and applications of network pharmacology in drug discovery, pharmacovigilance, and precision medicine. The initial chapters guide readers through the principles and processes, detailing step-by-step procedures such as creating networks for compounds and disease targets. The intersection of network pharmacology with quantitative systems pharmacology is explored, along with an examination of various databases and essential software tools for conducting network pharmacological studies. It discusses the role of machine learning and AI in network pharmacology, delves into the application of systems biology for understanding complex diseases' pathogenesis, and highlights its contribution to drug discovery and repurposing. The book reviews the role of network pharmacology in different stages of drug discovery and repurposing, emphasizing its application in shaping drug formulations for enhanced efficacy and reduced side effects. Towards the end, it addresses translatability issues in drug discovery and repositioning predictions in clinical practice. This book caters to professionals, researchers, and advanced students in the pharmaceutical sciences. Key Features:Presents principles, methodologies, and applications of network pharmacologyExplores the intersection of network pharmacology with quantitative systems pharmacologyHighlights the role of machine learning and artificial intelligence in network pharmacologyReviews the role of network pharmacology in different stages of drug discovery and repurposingExamines the pivotal role of network pharmacology in precision medicine.