Literature DB >> 26588328

Toxicology Strategies for Drug Discovery: Present and Future.

Eric A G Blomme1, Yvonne Will2.   

Abstract

Attrition due to nonclinical safety represents a major issue for the productivity of pharmaceutical research and development (R&D) organizations, especially during the compound optimization stages of drug discovery and the early stages of clinical development. Focusing on decreasing nonclinical safety-related attrition is not a new concept, and various approaches have been experimented with over the last two decades. Front-loading testing funnels in Discovery with in vitro toxicity assays designed to rapidly identify unfavorable molecules was the approach adopted by most pharmaceutical R&D organizations a few years ago. However, this approach has also a non-negligible opportunity cost. Hence, significant refinements to the "fail early, fail often" paradigm have been proposed recently to reflect the complexity of accurately categorizing compounds with early data points without taking into account other important contextual aspects, in particular efficacious systemic and tissue exposures. This review provides an overview of toxicology approaches and models that can be used in pharmaceutical Discovery at the series/lead identification and lead optimization stages to guide and inform chemistry efforts, as well as a personal view on how to best use them to meet nonclinical safety-related attrition objectives consistent with a sustainable pharmaceutical R&D model. The scope of this review is limited to small molecules, as large molecules are associated with challenges that are quite different. Finally, a perspective on how several emerging technologies may impact toxicity evaluation is also provided.

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Year:  2015        PMID: 26588328     DOI: 10.1021/acs.chemrestox.5b00407

Source DB:  PubMed          Journal:  Chem Res Toxicol        ISSN: 0893-228X            Impact factor:   3.739


  24 in total

1.  Utility of Physicochemical Properties for the Prediction of Toxicological Outcomes: Takeda Perspective.

Authors:  Tomoya Yukawa; Russell Naven
Journal:  ACS Med Chem Lett       Date:  2020-01-29       Impact factor: 4.345

2.  Towards embedding Caco-2 model of gut interface in a microfluidic device to enable multi-organ models for systems biology.

Authors:  Dmitry Sakharov; Diana Maltseva; Evgeny Knyazev; Sergey Nikulin; Andrey Poloznikov; Sergey Shilin; Ancha Baranova; Irina Tsypina; Alexander Tonevitsky
Journal:  BMC Syst Biol       Date:  2019-03-05

3.  Intersection of the Roles of Cytochrome P450 Enzymes with Xenobiotic and Endogenous Substrates: Relevance to Toxicity and Drug Interactions.

Authors:  F Peter Guengerich
Journal:  Chem Res Toxicol       Date:  2016-08-11       Impact factor: 3.739

Review 4.  Drug discovery effectiveness from the standpoint of therapeutic mechanisms and indications.

Authors:  Hsin-Pei Shih; Xiaodan Zhang; Alex M Aronov
Journal:  Nat Rev Drug Discov       Date:  2017-10-27       Impact factor: 84.694

5.  Development of a neurotoxicity assay that is tuned to detect mitochondrial toxicants.

Authors:  Johannes Delp; Melina Funke; Franziska Rudolf; Andrea Cediel; Susanne Hougaard Bennekou; Wanda van der Stel; Giada Carta; Paul Jennings; Cosimo Toma; Iain Gardner; Bob van de Water; Anna Forsby; Marcel Leist
Journal:  Arch Toxicol       Date:  2019-06-12       Impact factor: 5.153

6.  Evaluation of 4-Amino 2-Anilinoquinazolines against Plasmodium and Other Apicomplexan Parasites In Vitro and in a P. falciparum Humanized NOD-scid IL2Rγnull Mouse Model of Malaria.

Authors:  Paul R Gilson; William Nguyen; William A Poole; Jose E Teixeira; Jennifer K Thompson; Kaiyuan Guo; Rebecca J Stewart; Trent D Ashton; Karen L White; Laura M Sanz; Francisco-Javier Gamo; Susan A Charman; Sergio Wittlin; James Duffy; Christopher J Tonkin; Wai-Hong Tham; Brendan S Crabb; Brian M Cooke; Christopher D Huston; Alan F Cowman; Brad E Sleebs
Journal:  Antimicrob Agents Chemother       Date:  2019-02-26       Impact factor: 5.191

Review 7.  Managing the challenge of drug-induced liver injury: a roadmap for the development and deployment of preclinical predictive models.

Authors:  Richard J Weaver; Eric A Blomme; Amy E Chadwick; Ian M Copple; Helga H J Gerets; Christopher E Goldring; Andre Guillouzo; Philip G Hewitt; Magnus Ingelman-Sundberg; Klaus Gjervig Jensen; Satu Juhila; Ursula Klingmüller; Gilles Labbe; Michael J Liguori; Cerys A Lovatt; Paul Morgan; Dean J Naisbitt; Raymond H H Pieters; Jan Snoeys; Bob van de Water; Dominic P Williams; B Kevin Park
Journal:  Nat Rev Drug Discov       Date:  2019-11-20       Impact factor: 84.694

8.  Measuring the Effect of Chemicals on the Growth and Reproduction of Caenorhabditis elegans.

Authors:  So Young Lee; Kyungsu Kang
Journal:  J Vis Exp       Date:  2017-10-05       Impact factor: 1.355

Review 9.  Use of Zebrafish in Drug Discovery Toxicology.

Authors:  Steven Cassar; Isaac Adatto; Jennifer L Freeman; Joshua T Gamse; Iñaki Iturria; Christian Lawrence; Arantza Muriana; Randall T Peterson; Steven Van Cruchten; Leonard I Zon
Journal:  Chem Res Toxicol       Date:  2019-11-16       Impact factor: 3.739

10.  Large-Scale Modeling of Multispecies Acute Toxicity End Points Using Consensus of Multitask Deep Learning Methods.

Authors:  Sankalp Jain; Vishal B Siramshetty; Vinicius M Alves; Eugene N Muratov; Nicole Kleinstreuer; Alexander Tropsha; Marc C Nicklaus; Anton Simeonov; Alexey V Zakharov
Journal:  J Chem Inf Model       Date:  2021-02-03       Impact factor: 4.956

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