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Computational Drug Discovery: Modeling Drug-Target and Drug-Disease Interactions presents a focused technical perspective on computational methods used to investigate relationships among therapeutic compounds, biological targets, and disease processes. The subject integrates concepts from drug discovery, computational chemistry, bioinformatics, molecular modeling, pharmacology, systems biology, and data-driven analysis. The book explores how computational models can represent and analyze drug-target interactions, examine drug-disease relationships, organize biological information, and support systematic investigation of molecular associations. Topics naturally associated with the subject include molecular interaction modeling, drug-target prediction, drug-disease association analysis, virtual screening, molecular descriptors, biological networks, computational pharmacology, and bioinformatics-based drug discovery. By connecting chemical, biological, and computational perspectives, the book provides a foundation for understanding the role of computational analysis within the broader drug discovery process. It is relevant to readers working in pharmaceutical sciences, medicinal chemistry, computational biology, bioinformatics, pharmacology, biotechnology, and biomedical research. The material can support postgraduate learners, researchers, scientists, and technical professionals seeking a clear introduction to computational approaches for analyzing drug-related interactions. The book also emphasizes the interdisciplinary character of computational drug discovery, where molecular data, biological relationships, mathematical representations, and analytical techniques can be examined together. This perspective is useful for understanding how computational approaches help structure complex information and investigate relationships between compounds, targets, and diseases.
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Paperback. Zustand: new. Paperback. Computational Drug Discovery: Modeling Drug-Target and Drug-Disease Interactions presents a focused technical perspective on computational methods used to investigate relationships among therapeutic compounds, biological targets, and disease processes. The subject integrates concepts from drug discovery, computational chemistry, bioinformatics, molecular modeling, pharmacology, systems biology, and data-driven analysis. The book explores how computational models can represent and analyze drug-target interactions, examine drug-disease relationships, organize biological information, and support systematic investigation of molecular associations. Topics naturally associated with the subject include molecular interaction modeling, drug-target prediction, drug-disease association analysis, virtual screening, molecular descriptors, biological networks, computational pharmacology, and bioinformatics-based drug discovery. By connecting chemical, biological, and computational perspectives, the book provides a foundation for understanding the role of computational analysis within the broader drug discovery process. It is relevant to readers working in pharmaceutical sciences, medicinal chemistry, computational biology, bioinformatics, pharmacology, biotechnology, and biomedical research. The material can support postgraduate learners, researchers, scientists, and technical professionals seeking a clear introduction to computational approaches for analyzing drug-related interactions. The book also emphasizes the interdisciplinary character of computational drug discovery, where molecular data, biological relationships, mathematical representations, and analytical techniques can be examined together. This perspective is useful for understanding how computational approaches help structure complex information and investigate relationships between compounds, targets, and diseases. Explores computational methods for modeling drug-target and drug-disease interactions, supporting drug discovery, molecular analysis, virtual screening, and biomedical research applications. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Bestandsnummer des Verkäufers 9798869050212
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Paperback. Zustand: new. Paperback. Computational Drug Discovery: Modeling Drug-Target and Drug-Disease Interactions presents a focused technical perspective on computational methods used to investigate relationships among therapeutic compounds, biological targets, and disease processes. The subject integrates concepts from drug discovery, computational chemistry, bioinformatics, molecular modeling, pharmacology, systems biology, and data-driven analysis. The book explores how computational models can represent and analyze drug-target interactions, examine drug-disease relationships, organize biological information, and support systematic investigation of molecular associations. Topics naturally associated with the subject include molecular interaction modeling, drug-target prediction, drug-disease association analysis, virtual screening, molecular descriptors, biological networks, computational pharmacology, and bioinformatics-based drug discovery. By connecting chemical, biological, and computational perspectives, the book provides a foundation for understanding the role of computational analysis within the broader drug discovery process. It is relevant to readers working in pharmaceutical sciences, medicinal chemistry, computational biology, bioinformatics, pharmacology, biotechnology, and biomedical research. The material can support postgraduate learners, researchers, scientists, and technical professionals seeking a clear introduction to computational approaches for analyzing drug-related interactions. The book also emphasizes the interdisciplinary character of computational drug discovery, where molecular data, biological relationships, mathematical representations, and analytical techniques can be examined together. This perspective is useful for understanding how computational approaches help structure complex information and investigate relationships between compounds, targets, and diseases. Explores computational methods for modeling drug-target and drug-disease interactions, supporting drug discovery, molecular analysis, virtual screening, and biomedical research applications. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Bestandsnummer des Verkäufers 9798869050212
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Computational Drug Discovery : Modeling Drug- Target and Drug-Disease Interactions
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Computational Drug Discovery: Modeling Drug-Target and Drug-Disease Interactions presents a focused technical perspective on computational methods used to investigate relationships among therapeutic compounds, biological targets, and disease processes. The subject integrates concepts from drug discovery, computational chemistry, bioinformatics, molecular modeling, pharmacology, systems biology, and data-driven analysis. The book explores how computational models can represent and analyze drug-target interactions, examine drug-disease relationships, organize biological information, and support systematic investigation of molecular associations. Topics naturally associated with the subject include molecular interaction modeling, drug-target prediction, drug-disease association analysis, virtual screening, molecular descriptors, biological networks, computational pharmacology, and bioinformatics-based drug discovery. By connecting chemical, biological, and computational perspectives, the book provides a foundation for understanding the role of computational analysis within the broader drug discovery process. It is relevant to readers working in pharmaceutical sciences, medicinal chemistry, computational biology, bioinformatics, pharmacology, biotechnology, and biomedical research. The material can support postgraduate learners, researchers, scientists, and technical professionals seeking a clear introduction to computational approaches for analyzing drug-related interactions. The book also emphasizes the interdisciplinary character of computational drug discovery, where molecular data, biological relationships, mathematical representations, and analytical techniques can be examined together. This perspective is useful for understanding how computational approaches help structure complex information and investigate relationships between compounds, targets, and diseases. Bestandsnummer des Verkäufers 9798869050212
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Taschenbuch. Zustand: Neu. Computational Drug Discovery | Modeling Drug- Target and Drug-Disease Interactions | Jason Carol | Taschenbuch | Englisch | 2026 | Nala Kala | EAN 9798869050212 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. Bestandsnummer des Verkäufers 136345089
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