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020 _a9781071619605
_9978-1-0716-1960-5
024 7 _a10.1007/978-1-0716-1960-5
_2doi
050 4 _aRA1190-1270
072 7 _aMMGT
_2bicssc
072 7 _aMED106000
_2bisacsh
072 7 _aMKGT
_2thema
082 0 4 _a615.90072
_223
245 1 0 _aIn Silico Methods for Predicting Drug Toxicity
_h[electronic resource] /
_cedited by Emilio Benfenati.
250 _a2nd ed. 2022.
264 1 _aNew York, NY :
_bSpringer US :
_bImprint: Humana,
_c2022.
300 _aXIV, 680 p. 244 illus., 215 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aMethods in Molecular Biology,
_x1940-6029 ;
_v2425
505 0 _aQSAR 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.
520 _aThis 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.
650 0 _aToxicology.
650 0 _aPharmacology.
650 0 _aComputer simulation.
650 1 4 _aToxicology.
650 2 4 _aPharmacology.
650 2 4 _aComputer Modelling.
700 1 _aBenfenati, Emilio.
_eeditor.
_0(orcid)0000-0002-3976-5989
_1https://orcid.org/0000-0002-3976-5989
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9781071619599
776 0 8 _iPrinted edition:
_z9781071619612
776 0 8 _iPrinted edition:
_z9781071619629
830 0 _aMethods in Molecular Biology,
_x1940-6029 ;
_v2425
856 4 0 _uhttps://doi.org/10.1007/978-1-0716-1960-5
912 _aZDB-2-PRO
999 _c6246
_d6246