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In Silico Methods for Predicting Drug Toxicity Softcover reprint of the original 1st ed. 2016 [Pehme köide]

  • Formaat: Paperback / softback, 534 pages, kõrgus x laius: 254x178 mm, 156 Illustrations, color; 37 Illustrations, black and white; XI, 534 p. 193 illus., 156 illus. in color., 1 Paperback / softback
  • Sari: Methods in Molecular Biology 1425
  • Ilmumisaeg: 30-May-2018
  • Kirjastus: Humana Press Inc.
  • ISBN-10: 1493980939
  • ISBN-13: 9781493980932
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  • Pehme köide
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  • Formaat: Paperback / softback, 534 pages, kõrgus x laius: 254x178 mm, 156 Illustrations, color; 37 Illustrations, black and white; XI, 534 p. 193 illus., 156 illus. in color., 1 Paperback / softback
  • Sari: Methods in Molecular Biology 1425
  • Ilmumisaeg: 30-May-2018
  • Kirjastus: Humana Press Inc.
  • ISBN-10: 1493980939
  • ISBN-13: 9781493980932
Teised raamatud teemal:
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.
QSAR Methods.- InSilico 3D-Modelling of Binding Activities.- Modeling Pharmacokinetics.- ModelingADMET.- In Silico Prediction of Chemically-Induced Mutagenicity: How to UseQSAR Models and Interpret Their Results.- In Silico Methods for CarcinogenicityAssessment.- VirtualToxLab: Exploring the Toxic Potential of RejuvenatingSubstances Found in Traditional Medicines.- In Silico Model for DevelopmentalToxicity: How to Use QSAR Models and Interpret Their Results.- In Silico Modelsfor Repeated Dose Toxicity (RDT): Prediction of the No Observed Adverse EffectLevel (NOAEL) and Lowest Observed Adverse Effect Level (LOAEL) for Drugs.- InSilico Models for Acute Systemic Toxicity.- In Silico Models forHepatotoxicity.-In Silico Models for Ecotoxicity of Pharmaceuticals.- Use of Read-Across Tools.-Adverse Outcome Pathways as Tools to Assess Drug-Induced Toxicity.- A SystemsBiology Approach for Identifying Hepatotoxicant Groups Based on Similarity inMechanisms of Action and Chemical Structure.- In Silico Study of In Vitro GPCRAssays by QSAR Modeling.- Taking Advantage of Databases.- QSAR Models at theUnited States FDA/NCTR.- A Round Trip from Medicinal Chemistry to PredictiveToxicology.- The Use of In Silico Models Within a Large Pharmaceutical Company.-The Consultancy Activity on In Silico Models for Genotoxic Prediction ofPharmaceutical Impurities.