Literature DB >> 35188637

In Silico Models for Predicting Acute Systemic Toxicity.

Ivanka Tsakovska1, Antonia Diukendjieva2, Andrew P Worth3.   

Abstract

In this chapter, we give a brief overview of the regulatory requirements for acute systemic toxicity information in the European Union, and we review structure-based computational models that are available and potentially useful in the assessment of acute systemic toxicity. Emphasis is placed on quantitative structure-activity relationship (QSAR) models implemented by means of a range of software tools. The most recently published literature models for acute systemic toxicity are also discussed, and perspectives for future developments in this field are offered.
© 2022. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Acute systemic toxicity; Databases; In silico models; LD50; Organ-specific toxicity; QSAR; Regulatory context

Mesh:

Year:  2022        PMID: 35188637     DOI: 10.1007/978-1-0716-1960-5_12

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  61 in total

1.  LeadScope: software for exploring large sets of screening data.

Authors:  G Roberts; G J Myatt; W P Johnson; K P Cross; P E Blower
Journal:  J Chem Inf Comput Sci       Date:  2000 Nov-Dec

2.  Practical considerations on the use of predictive models for regulatory purposes.

Authors:  Jay Tunkel; Kelly Mayo; Carlye Austin; Amy Hickerson; Philip Howard
Journal:  Environ Sci Technol       Date:  2005-04-01       Impact factor: 9.028

3.  admetSAR 2.0: web-service for prediction and optimization of chemical ADMET properties.

Authors:  Hongbin Yang; Chaofeng Lou; Lixia Sun; Jie Li; Yingchun Cai; Zhuang Wang; Weihua Li; Guixia Liu; Yun Tang
Journal:  Bioinformatics       Date:  2019-03-15       Impact factor: 6.937

Review 4.  The value of acute toxicity studies to support the clinical management of overdose and poisoning: a cross-discipline consensus.

Authors:  Kathryn Chapman; Stuart Creton; Hugo Kupferschmidt; G Randall Bond; Martin F Wilks; Sally Robinson
Journal:  Regul Toxicol Pharmacol       Date:  2010-07-11       Impact factor: 3.271

5.  Optimizing predictive performance of CASE Ultra expert system models using the applicability domains of individual toxicity alerts.

Authors:  Suman K Chakravarti; Roustem D Saiakhov; Gilles Klopman
Journal:  J Chem Inf Model       Date:  2012-09-18       Impact factor: 4.956

6.  A European pharmaceutical company initiative challenging the regulatory requirement for acute toxicity studies in pharmaceutical drug development.

Authors:  Sally Robinson; Jean-Luc Delongeas; Elizabeth Donald; David Dreher; Matthias Festag; Sophie Kervyn; Ann Lampo; Kamil Nahas; Vicente Nogues; Deborah Ockert; Kirsty Quinn; Sally Old; Nigel Pickersgill; Kev Somers; Claudia Stark; Peter Stei; Lynne Waterson; Kathryn Chapman
Journal:  Regul Toxicol Pharmacol       Date:  2007-12-05       Impact factor: 3.271

7.  Quantitative structure-activity relationship modeling of rat acute toxicity by oral exposure.

Authors:  Hao Zhu; Todd M Martin; Lin Ye; Alexander Sedykh; Douglas M Young; Alexander Tropsha
Journal:  Chem Res Toxicol       Date:  2009-12       Impact factor: 3.739

Review 8.  Prediction of acute mammalian toxicity from QSARs and interspecies correlations.

Authors:  J Devillers; H Devillers
Journal:  SAR QSAR Environ Res       Date:  2009-07       Impact factor: 3.000

9.  A cross-industry collaboration to assess if acute oral toxicity (Q)SAR models are fit-for-purpose for GHS classification and labelling.

Authors:  Joel Bercu; Melisa J Masuda-Herrera; Alejandra Trejo-Martin; Catrin Hasselgren; Jean Lord; Jessica Graham; Matthew Schmitz; Lawrence Milchak; Colin Owens; Surya Hari Lal; Richard Marchese Robinson; Sarah Whalley; Phillip Bellion; Anna Vuorinen; Kamila Gromek; William A Hawkins; Iris van de Gevel; Kathleen Vriens; Raymond Kemper; Russell Naven; Pierre Ferrer; Glenn J Myatt
Journal:  Regul Toxicol Pharmacol       Date:  2020-12-17       Impact factor: 3.271

10.  ProTox-II: a webserver for the prediction of toxicity of chemicals.

Authors:  Priyanka Banerjee; Andreas O Eckert; Anna K Schrey; Robert Preissner
Journal:  Nucleic Acids Res       Date:  2018-07-02       Impact factor: 16.971

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