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, metabol...
Gespeichert in:
| Weitere Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York, NY
Springer New York
2016
|
| Schriftenreihe: | Methods in Molecular Biology
1425 |
| Schlagworte: | |
| Online-Zugang: | UBR01 TUM01 Volltext |
| Zusammenfassung: | 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 |
| Beschreibung: | 1 Online-Ressource (XI, 534 p. 193 illus., 156 illus. in color) |
| ISBN: | 9781493936090 |
| DOI: | 10.1007/978-1-4939-3609-0 |
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| dewey-ones | 615 - Pharmacology and therapeutics |
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| dewey-tens | 610 - Medicine and health |
| discipline | Chemie / Pharmazie Medizin |
| doi_str_mv | 10.1007/978-1-4939-3609-0 |
| format | Electronic eBook |
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| isbn | 9781493936090 |
| language | English |
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| spelling | In Silico Methods for Predicting Drug Toxicity edited by Emilio Benfenati New York, NY Springer New York 2016 1 Online-Ressource (XI, 534 p. 193 illus., 156 illus. in color) txt rdacontent c rdamedia cr rdacarrier Methods in Molecular Biology 1425 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 Biomedicine Pharmacology/Toxicology Medicine Pharmacology Toxizität (DE-588)4078372-8 gnd rswk-swf Prognose (DE-588)4047390-9 gnd rswk-swf In silico-Methode (DE-588)4816890-7 gnd rswk-swf Arzneimittel (DE-588)4003115-9 gnd rswk-swf Arzneimittel (DE-588)4003115-9 s Toxizität (DE-588)4078372-8 s Prognose (DE-588)4047390-9 s In silico-Methode (DE-588)4816890-7 s 1\p DE-604 Benfenati, Emilio edt Erscheint auch als Druck-Ausgabe 9781493936076 https://doi.org/10.1007/978-1-4939-3609-0 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | In Silico Methods for Predicting Drug Toxicity Biomedicine Pharmacology/Toxicology Medicine Pharmacology Toxizität (DE-588)4078372-8 gnd Prognose (DE-588)4047390-9 gnd In silico-Methode (DE-588)4816890-7 gnd Arzneimittel (DE-588)4003115-9 gnd |
| subject_GND | (DE-588)4078372-8 (DE-588)4047390-9 (DE-588)4816890-7 (DE-588)4003115-9 |
| title | In Silico Methods for Predicting Drug Toxicity |
| title_auth | In Silico Methods for Predicting Drug Toxicity |
| title_exact_search | In Silico Methods for Predicting Drug Toxicity |
| title_full | In Silico Methods for Predicting Drug Toxicity edited by Emilio Benfenati |
| title_fullStr | In Silico Methods for Predicting Drug Toxicity edited by Emilio Benfenati |
| title_full_unstemmed | In Silico Methods for Predicting Drug Toxicity edited by Emilio Benfenati |
| title_short | In Silico Methods for Predicting Drug Toxicity |
| title_sort | in silico methods for predicting drug toxicity |
| topic | Biomedicine Pharmacology/Toxicology Medicine Pharmacology Toxizität (DE-588)4078372-8 gnd Prognose (DE-588)4047390-9 gnd In silico-Methode (DE-588)4816890-7 gnd Arzneimittel (DE-588)4003115-9 gnd |
| topic_facet | Biomedicine Pharmacology/Toxicology Medicine Pharmacology Toxizität Prognose In silico-Methode Arzneimittel |
| url | https://doi.org/10.1007/978-1-4939-3609-0 |
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