Computational chemistry, systems biology and toxicology. Harnessing the chemistry of life: revolutionizing toxicology. a commentary. 2011

Ian Kimber, and Colin Humphris, and Carl Westmoreland, and Nathalie Alepee, and Gianni Dal Negro, and Irene Manou
Faculty of Life Sciences, University of Manchester, Manchester, UK. ian.kimber@manchester.ac.uk

There is a continuing interest in, and increasing imperatives for, the development of alternative methods for toxicological evaluations that do not require the use of animals. Although a significant investment has resulted in some achievements, progress has been patchy and there remain many challenges. Among the most significant hurdles is developing non-animal methods that would permit assessment of the potential for a chemical or drug to cause adverse health effects following repeated systemic exposure. Developing approaches to address this challenge has been one of the objectives of the European Partnership for Alternative Approaches to Animal Testing (EPAA). The EPAA is a unique partnership between the European Commission and industry that has interests in all aspects of reducing, refining and replacing the use of animals (the '3Rs'). One possible strategy that emerged from a broad scientific debate sponsored by the EPAA was the opportunity for developing entirely new paradigms for toxicity testing based upon harnessing the increasing power of computational chemistry in combination with advanced systems biology. This brief commentary summarizes a workshop organized by the EPAA in 2010, that had the ambitious title of 'Harnessing the Chemistry of Life: Revolutionizing Toxicology'. At that workshop international experts in chemistry, systems biology and toxicology sought to map out how best developments in these sciences could be exploited to design new strategies for toxicity testing using adverse effects in the liver as an initial focus of attention. Here we describe the workshop design and outputs, the primary purpose being to stimulate debate about the need to align different areas of science with toxicology if new and truly innovative approaches to toxicity testing are to be developed.

UI MeSH Term Description Entries
D004493 Education Acquisition of knowledge as a result of instruction in a formal course of study. Literacy Programs,Training Programs,Activities, Educational,Educational Activities,Workshops,Activity, Educational,Educational Activity,Literacy Program,Program, Literacy,Program, Training,Programs, Literacy,Programs, Training,Training Program,Workshop
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000818 Animals Unicellular or multicellular, heterotrophic organisms, that have sensation and the power of voluntary movement. Under the older five kingdom paradigm, Animalia was one of the kingdoms. Under the modern three domain model, Animalia represents one of the many groups in the domain EUKARYOTA. Animal,Metazoa,Animalia
D000826 Animal Testing Alternatives Procedures, such as TISSUE CULTURE TECHNIQUES; mathematical models; etc., when used or advocated for use in place of the use of animals in research or diagnostic laboratories. Alternatives to Animal Testing,Alternative, Animal Testing,Alternatives, Animal Testing,Animal Testing Alternative,Testing Alternative, Animal,Testing Alternatives, Animal
D014116 Toxicology The science concerned with the detection, chemical composition, and biological action of toxic substances or poisons and the treatment and prevention of toxic manifestations. Toxinology,Evidence Based Toxicology,Evidence-Based Toxicology,Based Toxicologies, Evidence,Based Toxicology, Evidence,Evidence Based Toxicologies,Evidence-Based Toxicologies,Toxicologies, Evidence Based,Toxicologies, Evidence-Based,Toxicology, Evidence Based,Toxicology, Evidence-Based
D049490 Systems Biology Comprehensive, methodical analysis of complex biological systems by monitoring responses to perturbations of biological processes. Large scale, computerized collection and analysis of the data are used to develop and test models of biological systems. Biology, Systems
D018570 Risk Assessment The qualitative or quantitative estimation of the likelihood of adverse effects that may result from exposure to specified health hazards or from the absence of beneficial influences. (Last, Dictionary of Epidemiology, 1988) Assessment, Risk,Benefit-Risk Assessment,Risk Analysis,Risk-Benefit Assessment,Health Risk Assessment,Risks and Benefits,Analysis, Risk,Assessment, Benefit-Risk,Assessment, Health Risk,Assessment, Risk-Benefit,Benefit Risk Assessment,Benefit-Risk Assessments,Benefits and Risks,Health Risk Assessments,Risk Analyses,Risk Assessment, Health,Risk Assessments,Risk Benefit Assessment,Risk-Benefit Assessments
D020650 Combinatorial Chemistry Techniques A technology, in which sets of reactions for solution or solid-phase synthesis, is used to create molecular libraries for analysis of compounds on a large scale. Chemistry Techniques, Combinatorial,Techniques, Combinatorial Chemistry,Chemistry Technic, Combinatorial,Chemistry Technics, Combinatorial,Chemistry Technique, Combinatorial,Combinatorial Chemistry Technic,Combinatorial Chemistry Technics,Combinatorial Chemistry Technique,Technic, Combinatorial Chemistry,Technics, Combinatorial Chemistry,Technique, Combinatorial Chemistry
D023421 Models, Animal Non-human animals, selected because of specific characteristics, for use in experimental research, teaching, or testing. Experimental Animal Models,Laboratory Animal Models,Animal Model,Animal Model, Experimental,Animal Model, Laboratory,Animal Models,Animal Models, Experimental,Animal Models, Laboratory,Experimental Animal Model,Laboratory Animal Model,Model, Animal,Model, Experimental Animal,Model, Laboratory Animal,Models, Experimental Animal,Models, Laboratory Animal

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