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  • Language: English

    Published by Mdpi AG, 2026

    3725878390 / 9783725878390

    • Hardcover

    Seller: Rarewaves.com USA, London, LONDO, United KingdomRarewaves.com USA

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  • Language: English

    Published by Mdpi AG, 2026

    3725878390 / 9783725878390

    • Hardcover

    Seller: California Books, Miami, FL, U.S.A.California Books

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  • Language: English

    Published by Mdpi AG, 2026

    3725878390 / 9783725878390

    • Hardcover

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  • Language: English

    Published by Mdpi AG, 2026

    3725878390 / 9783725878390

    • Hardcover

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  • Language: English

    Published by Mdpi AG, 2026

    3725878390 / 9783725878390

    • Hardcover

    Seller: Rarewaves.com UK, London, United KingdomRarewaves.com UK

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  • Language: English

    Published by MDPI AG, 2026

    3725878390 / 9783725878390

    • Hardcover
    • Print on Demand

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  • Language: English

    Published by MDPI AG, 2026

    3725878390 / 9783725878390

    • Hardcover
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    Seller: PBShop.store UK, Fairford, GLOS, United KingdomPBShop.store UK

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  • Language: English

    Published by Mdpi AG, 2026

    3725878390 / 9783725878390

    • Hardcover
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    Hardcover. Condition: new. Hardcover. This Reprint presents the Special Issue "In Silico Drug Design and Discovery: Big Data for Small-Molecule Design, 2nd Edition", bringing together the editorial and eight peer-reviewed contributions that reflect current advances in computational strategies for small-molecule research. The collection covers structure-based modeling, molecular dynamics, virtual screening, chemoinformatics, drug target affinity prediction, reactive metabolite assessment, and generative artificial intelligence for molecular design. Across different therapeutic areas, the contributions show how data mining, bioinformatics, machine learning, and experimental validation can be combined to improve target analysis, lead identification, and hypothesis generation. By highlighting both methodological innovation and biologically relevant applications, this Reprint offers an updated overview of how big data-driven in silico approaches are reshaping modern drug discovery. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

  • Language: English

    Published by MDPI AG, 2026

    3725878390 / 9783725878390

    • Hardcover
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    Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This Reprint presents the Special Issue 'In Silico Drug Design and Discovery: Big Data for Small-Molecule Design, 2nd Edition', bringing together the editorial and eight peer-reviewed contributions that reflect current advances in computational strategies for small-molecule research. The collection covers structure-based modeling, molecular dynamics, virtual screening, chemoinformatics, drug target affinity prediction, reactive metabolite assessment, and generative artificial intelligence for molecular design. Across different therapeutic areas, the contributions show how data mining, bioinformatics, machine learning, and experimental validation can be combined to improve target analysis, lead identification, and hypothesis generation. By highlighting both methodological innovation and biologically relevant applications, this Reprint offers an updated overview of how big data-driven in silico approaches are reshaping modern drug discovery.…

  • Language: English

    Published by MDPI AG, 2026

    3725878390 / 9783725878390

    • Hardcover
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    Seller: preigu, Osnabrück, Germanypreigu

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    Buch. Condition: Neu. In Silico Drug Design and Discovery | Big Data for Small Molecule Design 2nd Edition | Buch | Englisch | 2026 | MDPI AG | EAN 9783725878390 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.…