Literature DB >> 25061898

Green toxicology.

Alexandra Maertens1, Nicholas Anastas, Pamela J Spencer, Martin Stephens, Alan Goldberg, Thomas Hartung.   

Abstract

Historically, early identification and characterization of adverse effects of industrial chemicals was difficult because conventional toxicological test methods did not meet R&D needs for rapid, relatively inexpensive methods amenable to small amounts of test material. The pharmaceutical industry now front-loads toxicity testing, using in silico, in vitro, and less demanding animal tests at earlier stages of product development to identify and anticipate undesirable toxicological effects and optimize product development. The Green Chemistry movement embraces similar ideas for development of less toxic products, safer processes, and less waste and exposure. Further, the concept of benign design suggests ways to consider possible toxicities before the actual synthesis and to apply some structure/activity rules (SAR) and in silico methods. This requires not only scientific development but also a change in corporate culture in which synthetic chemists work with toxicologists. An emerging discipline called Green Toxicology (Anastas, 2012) provides a framework for integrating the principles of toxicology into the enterprise of designing safer chemicals, thereby minimizing potential toxicity as early in production as possible. Green Toxicology`s novel utility lies in driving innovation by moving safety considerations to the earliest stage in a chemical`s lifecycle, i.e., to molecular design. In principle, this field is no different than other subdisciplines of toxicology that endeavor to focus on a specific area - for example, clinical, environmental or forensic toxicology. We use the same principles and tools to evaluate an existing substance or to design a new one. The unique emphasis is in using 21st century toxicology tools as a preventative strategy to "design out" undesired human health and environmental effects, thereby increasing the likelihood of launching a successful, sustainable product. Starting with the formation of a steering group and a series of workshops, the Green Toxicology concept is currently spreading internationally and is being refined via an iterative process.

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Year:  2014        PMID: 25061898     DOI: 10.14573/altex.1406181

Source DB:  PubMed          Journal:  ALTEX        ISSN: 1868-596X            Impact factor:   6.043


  10 in total

Review 1.  Big-data and machine learning to revamp computational toxicology and its use in risk assessment.

Authors:  Thomas Luechtefeld; Craig Rowlands; Thomas Hartung
Journal:  Toxicol Res (Camb)       Date:  2018-05-01       Impact factor: 3.524

2.  Avoiding Regrettable Substitutions: Green Toxicology for Sustainable Chemistry.

Authors:  Alexandra Maertens; Emily Golden; Thomas Hartung
Journal:  ACS Sustain Chem Eng       Date:  2021-06-01       Impact factor: 9.224

Review 3.  Perspectives on In Vitro to In Vivo Extrapolations.

Authors:  Thomas Hartung
Journal:  Appl In Vitro Toxicol       Date:  2018-12-08

4.  Internationalization of read-across as a validated new approach method (NAM) for regulatory toxicology.

Authors:  Costanza Rovida; Tara Barton-Maclaren; Emilio Benfenati; Francesca Caloni; P. Charukeshi Chandrasekera; Christophe Chesné; Mark T D Cronin; Joop De Knecht; Daniel R Dietrich; Sylvia E Escher; Suzanne Fitzpatrick; Brenna Flannery; Matthias Herzler; Susanne Hougaard Bennekou; Bruno Hubesch; Hennicke Kamp; Jaffar Kisitu; Nicole Kleinstreuer; Simona Kovarich; Marcel Leist; Alexandra Maertens; Kerry Nugent; Giorgia Pallocca; Manuel Pastor; Grace Patlewicz; Manuela Pavan; Octavio Presgrave; Lena Smirnova; Michael Schwarz; Takashi Yamada; Thomas Hartung
Journal:  ALTEX       Date:  2020-04-30       Impact factor: 6.250

5.  The DaNa2.0 Knowledge Base Nanomaterials-An Important Measure Accompanying Nanomaterials Development.

Authors:  Harald F Krug; Nils Bohmer; Dana Kühnel; Clarissa Marquardt; Katja Nau; Christoph Steinbach
Journal:  Nanomaterials (Basel)       Date:  2018-03-29       Impact factor: 5.076

Review 6.  Green and sustainable chemistry - The case for a systems-based, interdisciplinary approach.

Authors:  David J C Constable
Journal:  iScience       Date:  2021-11-24

7.  QSAR models of human data can enrich or replace LLNA testing for human skin sensitization.

Authors:  Vinicius M Alves; Stephen J Capuzzi; Eugene Muratov; Rodolpho C Braga; Thomas Thornton; Denis Fourches; Judy Strickland; Nicole Kleinstreuer; Carolina H Andrade; Alexander Tropsha
Journal:  Green Chem       Date:  2016-10-06       Impact factor: 10.182

8.  Life cycle assessment and sustainable engineering in the context of near net shape grown components: striving towards a sustainable way of future production.

Authors:  Christoph Kämpfer; Thomas-Benjamin Seiler; Anna-Lena Beger; Georg Jacobs; Manuel Löwer; Franziska Moser; Julia Reimer; Martin Trautz; Björn Usadel; Alexandra Wormit; Henner Hollert
Journal:  Environ Sci Eur       Date:  2017-10-20       Impact factor: 5.893

9.  Weighted Gene Correlation Network Analysis (WGCNA) Reveals Novel Transcription Factors Associated With Bisphenol A Dose-Response.

Authors:  Alexandra Maertens; Vy Tran; Andre Kleensang; Thomas Hartung
Journal:  Front Genet       Date:  2018-11-12       Impact factor: 4.599

10.  Machine Learning of Toxicological Big Data Enables Read-Across Structure Activity Relationships (RASAR) Outperforming Animal Test Reproducibility.

Authors:  Thomas Luechtefeld; Dan Marsh; Craig Rowlands; Thomas Hartung
Journal:  Toxicol Sci       Date:  2018-09-01       Impact factor: 4.849

  10 in total

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