Literature DB >> 35188642

Use of Lhasa Limited Products for the In Silico Prediction of Drug Toxicity.

David J Ponting1, Michael J Burns2, Robert S Foster2, Rachel Hemingway2, Grace Kocks2, Donna S MacMillan2, Andrew L Shannon-Little2, Rachael E Tennant2, Jessica R Tidmarsh2, David J Yeo2.   

Abstract

Lhasa Limited have had a role in the in silico prediction of drug and other chemical toxicity for over 30 years. This role has always been multifaceted, both as a provider of predictive software such as Derek Nexus, and as an honest broker for the sharing of proprietary chemical and toxicity data. A changing regulatory environment and the drive for the Replacement, Reduction and Refinement (the 3Rs) of animal testing have led both to increased acceptance of in silico predictions and a desire for the sharing of data to reduce duplicate testing. The combination of these factors has led to Lhasa Limited providing a suite of products and coordinating numerous data-sharing consortia that do indeed facilitate a significant reduction in the testing burden that companies would otherwise be laboring under. Many of these products and consortia can be organized into workflows for specific regulatory use cases, and it is these that will be used to frame the narrative in this chapter.
© 2022. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Drug toxicity; Genotoxicity; In silico models; Lhasa Limited products; Toxicophore

Mesh:

Year:  2022        PMID: 35188642     DOI: 10.1007/978-1-0716-1960-5_17

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


  45 in total

Review 1.  The Ames Salmonella/microsome mutagenicity assay.

Authors:  K Mortelmans; E Zeiger
Journal:  Mutat Res       Date:  2000-11-20       Impact factor: 2.433

2.  Establishing best practise in the application of expert review of mutagenicity under ICH M7.

Authors:  Chris Barber; Alexander Amberg; Laura Custer; Krista L Dobo; Susanne Glowienke; Jacky Van Gompel; Steve Gutsell; Jim Harvey; Masamitsu Honma; Michelle O Kenyon; Naomi Kruhlak; Wolfgang Muster; Lidiya Stavitskaya; Andrew Teasdale; Jonathan Vessey; Joerg Wichard
Journal:  Regul Toxicol Pharmacol       Date:  2015-08-04       Impact factor: 3.271

3.  Computer prediction of possible toxic action from chemical structure; the DEREK system.

Authors:  D M Sanderson; C G Earnshaw
Journal:  Hum Exp Toxicol       Date:  1991-07       Impact factor: 2.903

4.  An expert system to predict the forced degradation of organic molecules.

Authors:  Alexis D C Parenty; William G Button; Martin A Ott
Journal:  Mol Pharm       Date:  2013-07-18       Impact factor: 4.939

5.  Distinguishing between expert and statistical systems for application under ICH M7.

Authors:  Chris Barber; Thierry Hanser; Philip Judson; Richard Williams
Journal:  Regul Toxicol Pharmacol       Date:  2017-01-03       Impact factor: 3.271

6.  Qualification of impurities based on metabolite data.

Authors:  Lars Weidolf; Thomas Andersson; Joel P Bercu; Andreas Brink; Susanne Glowienke; James Harvey; Martin A Hayes; Pascale Jacques; Chuang Lu; Nenad Manevski; Wolfgang Muster; Raphael Nudelman; Ron Ogilvie; Jenny Ottosson; Andrew Teasdale; Bruce Trela
Journal:  Regul Toxicol Pharmacol       Date:  2019-11-14       Impact factor: 3.271

7.  The threshold of toxicological concern concept in risk assessment.

Authors:  R Kroes; J Kleiner; A Renwick
Journal:  Toxicol Sci       Date:  2005-04-13       Impact factor: 4.849

8.  A tiered approach to threshold of regulation.

Authors:  M A Cheeseman; E J Machuga; A B Bailey
Journal:  Food Chem Toxicol       Date:  1999-04       Impact factor: 6.023

Review 9.  Chemical structure, Salmonella mutagenicity and extent of carcinogenicity as indicators of genotoxic carcinogenesis among 222 chemicals tested in rodents by the U.S. NCI/NTP.

Authors:  J Ashby; R W Tennant
Journal:  Mutat Res       Date:  1988-01       Impact factor: 2.433

Review 10.  Structure-based thresholds of toxicological concern (TTC): guidance for application to substances present at low levels in the diet.

Authors:  R Kroes; A G Renwick; M Cheeseman; J Kleiner; I Mangelsdorf; A Piersma; B Schilter; J Schlatter; F van Schothorst; J G Vos; G Würtzen
Journal:  Food Chem Toxicol       Date:  2004-01       Impact factor: 6.023

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.