Application of Evolving Computational and Biological Platforms for Chemical Safety Assessment

التفاصيل البيبلوغرافية
العنوان: Application of Evolving Computational and Biological Platforms for Chemical Safety Assessment
المؤلفون: Raja S. Settivari, J.C. Rowlands, S.M. Arnold, Daniel M. Wilson, P.J. Spencer
بيانات النشر: Elsevier, 2017.
سنة النشر: 2017
مصطلحات موضوعية: 0301 basic medicine, Engineering, business.industry, 030111 toxicology, Systems biology, Predictive toxicology, 010501 environmental sciences, Bioinformatics, 01 natural sciences, Data science, Evidence-based toxicology, 03 medical and health sciences, Chemical safety, Human exposure, Cheminformatics, Observational science, business, Strengths and weaknesses, 0105 earth and related environmental sciences
الوصف: The 21st century is placing new demands on toxicology, such as the need to evaluate many more chemicals than ever before, and to make toxicity testing more relevant to human exposure. Concomitantly, advances in molecular biology, systems biology, and computational methods are available to address these new needs. As a result, toxicology finds itself in a major transformational period represented by a shift from an observational science to one that is more predictive. The intent of this chapter is to review the enormously wide range of computational and biological assay platforms that are available for use in constructing a predictive toxicology program. These assay platforms all have their own strengths and weaknesses that need to be carefully considered. We conclude with a discussion of potential applications of these assay platforms.
DOI: 10.1016/b978-0-12-803620-4.00032-3
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::87dea26e9ece2fea04b3caddc405c957
https://doi.org/10.1016/b978-0-12-803620-4.00032-3
Rights: CLOSED
رقم الانضمام: edsair.doi...........87dea26e9ece2fea04b3caddc405c957
قاعدة البيانات: OpenAIRE
الوصف
DOI:10.1016/b978-0-12-803620-4.00032-3