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HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Condizione: New.

Hardback. Condizione: New.

Hardback. Condizione: New.

Hardcover. Condizione: 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 multiple locations in the US or from the UK, depending on stock availability.…

Hardcover. Condizione: 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.…

Hardcover. Condizione: 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 Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Buch. Condizione: 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.…

Buch. Condizione: 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.…