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In Silico Methods for Predicting Drug Toxicity - Bog

Bag om In Silico Methods for Predicting Drug Toxicity

This detailed volume explores in silico methods for pharmaceutical toxicity by combining the theoretical advanced research with the practical application of the tools. Beginning with a section covering sophisticated models addressing the binding to receptors, pharmacokinetics and adsorption, metabolism, distribution, and excretion, the book continues with chapters delving into models for specific toxicological and ecotoxicological endpoints, as well as broad views of the main initiatives and new perspectives which will very likely improve our way of modelling pharmaceuticals. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of detailed implementation advice that is key for achieving successful research results. Authoritative and practical, In Silico Methods for Predicting Drug Toxicity offers the advantage of incorporating data and knowledge from different fields, such as chemistry, biology, -omics, and pharmacology, to achieve goals in this vital area of research.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9781493980932
  • Indbinding:
  • Paperback
  • Sideantal:
  • 534
  • Udgivet:
  • 30. maj 2018
  • Udgave:
  • 12016
  • Størrelse:
  • 180x257x35 mm.
  • Vægt:
  • 1050 g.
  • 8-11 hverdage.
  • 10. december 2024

Normalpris

  • BLACK WEEK

Medlemspris

Prøv i 30 dage for 45 kr.
Herefter fra 79 kr./md. Ingen binding.

Beskrivelse af In Silico Methods for Predicting Drug Toxicity

This detailed volume explores in silico methods for
pharmaceutical toxicity by combining
the theoretical advanced research with the practical application of the tools.
Beginning with a section covering sophisticated models addressing the binding
to receptors, pharmacokinetics and adsorption, metabolism, distribution, and
excretion, the book continues with chapters delving into models for specific
toxicological and ecotoxicological endpoints, as well as broad views of the
main initiatives and new perspectives which will very likely improve our way of
modelling pharmaceuticals. Written for the highly successful Methods in Molecular Biology series,
chapters include the kind of detailed implementation advice that is key for
achieving successful research results.
Authoritative and practical, In Silico Methods for Predicting Drug
Toxicity offers the advantage of incorporating data and knowledge from
different fields, such as chemistry, biology, -omics, and pharmacology, to
achieve goals in this vital area of research.

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