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In Silico Methods for Predicting Drug Toxicity

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	In Silico Methods for Predicting Drug Toxicity/ edited by Emilio Benfenati.
其他作者:	Benfenati, Emilio.
面頁冊數:	XIV, 680 p. 244 illus., 215 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Computer Modelling. -
電子資源:	https://doi.org/10.1007/978-1-0716-1960-5
ISBN:	9781071619605

In Silico Methods for Predicting Drug Toxicity
In Silico Methods for Predicting Drug Toxicity[electronic resource] /edited by Emilio Benfenati. - 2nd ed. 2022. - XIV, 680 p. 244 illus., 215 illus. in color.online resource. - Methods in Molecular Biology,24251940-6029 ;. - Methods in Molecular Biology,2540.

QSAR Methods -- PBPK Modeling to Simulate the Fate of Compounds in Living Organisms -- Pharmacokinetic Tools and Applications -- In Silico Tools and Software to Predict ADMET of New Drug Candidates -- Development of In Silico Methods for Toxicity Prediction in Collaboration between Academia and the Pharmaceutical Industry -- Emerging Bioinformatics Methods and Resources in Drug Toxicology -- In Silico Prediction of Chemically-Induced Mutagenicity: A Weight of Evidence Approach Integrating Information from QSAR Models and Read-Across Predictions -- In Silico Methods for Chromosome Damage -- In Silico Methods for Carcinogenicity Assessment -- In Silico Models for Developmental Toxicity -- In Silico Models for Repeated-Dose Toxicity (RDT): Prediction of the No Observed Adverse Effect Level (NOAEL) and Lowest Observed Adverse Effect Level (LOAEL) for Drugs -- In Silico Models for Predicting Acute Systemic Toxicity -- In Silico Models for Skin Sensitization and Irritation -- In Silico Models for Hepatotoxicity -- Machine Learning Models for Predicting Liver Toxicity -- Implementation of In Silico Toxicology Protocols in Leadscope -- Use of Lhasa Limited Products for the In Silico Prediction of Drug Toxicity -- Using VEGAHUB within a Weight-of-Evidence Strategy -- MultiCASE Platform for In Silico Toxicology -- Adverse Outcome Pathways as Versatile Tools in Liver Toxicity Testing -- The Use of In Silico Methods for the Regulatory Toxicological Assessment of Pharmaceutical Impurities -- Computational Modeling of Mixture Toxicity -- In Silico Methods for Ecological Risk Assessment: Principles, Tiered Approaches, Applications, and Future Perspectives -- Increasing the Value of Data within a Large Pharmaceutical Company through In Silico Models.

This fully updated book explores all-new and revised protocols involving the use of in silico models, particularly with regard to pharmaceuticals. Divided into five sections, the volume covers the modeling of pharmaceuticals in the body, toxicity data for modeling purposes, in silico models for multiple endpoints, a number of platforms for evaluating pharmaceuticals, as well as an exploration of challenges, both scientific and sociological. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of detail and implementation advice necessary for successful results. Authoritative and comprehensive, In Silico Methods for Predicting Drug Toxicity, Second Edition aims to guide the reader through the correct procedures needed to harness in silico models, a field which now touches a wide variety of research specialties.

ISBN: 9781071619605

Standard No.: 10.1007/978-1-0716-1960-5doiSubjects--Topical Terms:

1365730
Computer Modelling.

LC Class. No.: RA1190-1270

Dewey Class. No.: 615.90072

In Silico Methods for Predicting Drug Toxicity
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520 $a This fully updated book explores all-new and revised protocols involving the use of in silico models, particularly with regard to pharmaceuticals. Divided into five sections, the volume covers the modeling of pharmaceuticals in the body, toxicity data for modeling purposes, in silico models for multiple endpoints, a number of platforms for evaluating pharmaceuticals, as well as an exploration of challenges, both scientific and sociological. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of detail and implementation advice necessary for successful results. Authoritative and comprehensive, In Silico Methods for Predicting Drug Toxicity, Second Edition aims to guide the reader through the correct procedures needed to harness in silico models, a field which now touches a wide variety of research specialties.
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