Utvidet returrett til 31. januar 2025
Om Drug Target Selection and Validation

The first book in the newly created book series, Computer-Aided Drug Discovery and Design, focuses on the computational aspects of early drug discovery, drug target identification, and validation. It revises current classical paradigms in target and phenotypic-based drug design with still ingrained approximations and concepts and discusses the research in the new network approach concept that include kinetic selectivity and metabolic analysis. Many often-overlooked approximations and concepts in drug discovery are fully covered. Drug Target Selection and Validation includes both introductory sections and research-based sections to be of use to both students and research scientists in drug discovery, design, kinetics and metabolic analysis. Pharmaceutical scientists, pharmaceutics, drug developers, pharmacologists, biomedical researchers in computer science, medicinal chemists, and precision medicine developers benefit from the information provided. The book concludes with a chapter on chemical and structural databases.

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  • Språk:
  • Engelsk
  • ISBN:
  • 9783030958947
  • Bindende:
  • Hardback
  • Sider:
  • 276
  • Utgitt:
  • 18. mai 2022
  • Utgave:
  • 22001
  • Dimensjoner:
  • 160x21x241 mm.
  • Vekt:
  • 582 g.
  • BLACK NOVEMBER
  Gratis frakt
Leveringstid: 2-4 uker
Forventet levering: 15. desember 2024

Beskrivelse av Drug Target Selection and Validation

The first book in the newly created book series, Computer-Aided Drug Discovery and Design, focuses on the computational aspects of early drug discovery, drug target identification, and validation. It revises current classical paradigms in target and phenotypic-based drug design with still ingrained approximations and concepts and discusses the research in the new network approach concept that include kinetic selectivity and metabolic analysis.
Many often-overlooked approximations and concepts in drug discovery are fully covered. Drug Target Selection and Validation includes both introductory sections and research-based sections to be of use to both students and research scientists in drug discovery, design, kinetics and metabolic analysis. Pharmaceutical scientists, pharmaceutics, drug developers, pharmacologists, biomedical researchers in computer science, medicinal chemists, and precision medicine developers benefit from the information provided. The book concludes with a chapter on chemical and structural databases.

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