In Silico Methods for Predicting Drug Toxicity

Detalles Bibliográficos
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Benfenati, Emilio. (Editor )
Formato: eBook
Lenguaje:English
Publicado: New York, NY : Springer New York : Imprint: Humana, 2016.
Edición:1st ed. 2016.
Colección:Methods in Molecular Biology, 1425
Materias:
Acceso en línea:https://doi.org/10.1007/978-1-4939-3609-0
LEADER 02429nam a22002895i 4500
001 978-1-4939-3609-0
005 20191023112113.0
007 cr nn 008mamaa
008 160616s2016 xxu| s |||| 0|eng d
020 |a 9781493936090 
024 7 |a 10.1007/978-1-4939-3609-0  |2 doi 
040 |a Sistema de Bibliotecas del Tecnológico de Costa Rica 
245 1 0 |a In Silico Methods for Predicting Drug Toxicity  |c edited by Emilio Benfenati. 
250 |a 1st ed. 2016. 
260 # # |a New York, NY :  |b Springer New York :  |b Imprint: Humana,  |c 2016. 
300 |a XI, 534 p. 193 illus., 156 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a Methods in Molecular Biology,  |v 1425 
505 0 |a QSAR Methods -- In Silico 3D-Modelling of Binding Activities -- Modeling Pharmacokinetics -- Modeling ADMET -- In Silico Prediction of Chemically-Induced Mutagenicity: How to Use QSAR Models and Interpret Their Results -- In Silico Methods for Carcinogenicity Assessment -- VirtualToxLab: Exploring the Toxic Potential of Rejuvenating Substances Found in Traditional Medicines -- In Silico Model for Developmental Toxicity: How to Use QSAR Models and Interpret Their Results -- 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 Acute Systemic Toxicity -- In Silico Models for Hepatotoxicity -- In Silico Models for Ecotoxicity of Pharmaceuticals -- Use of Read-Across Tools -- Adverse Outcome Pathways as Tools to Assess Drug-Induced Toxicity -- A Systems Biology Approach for Identifying Hepatotoxicant Groups Based on Similarity in Mechanisms of Action and Chemical Structure -- In Silico Study of In Vitro GPCR Assays by QSAR Modeling -- Taking Advantage of Databases -- QSAR Models at the United States FDA/NCTR -- A Round Trip from Medicinal Chemistry to Predictive Toxicology -- The Use of In Silico Models Within a Large Pharmaceutical Company -- The Consultancy Activity on In Silico Models for Genotoxic Prediction of Pharmaceutical Impurities. 
650 0 |a Pharmacology. 
650 1 4 |a Pharmacology/Toxicology. 
700 1 |a Benfenati, Emilio.  |e editor. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
856 4 0 |u https://doi.org/10.1007/978-1-4939-3609-0