Literature DB >> 23007423

What is computational toxicology?

Brad Reisfeld1, Arthur N Mayeno.   

Abstract

Computational toxicology is a vibrant and rapidly developing discipline that integrates information and data from a variety of sources to develop mathematical and computer-based models to better understand and predict adverse health effects caused by chemicals, such as environmental pollutants and pharmaceuticals. Encompassing medicine, biology, biochemistry, chemistry, mathematics, computer science, engineering, and other fields, computational toxicology investigates the interactions of chemical agents and biological organisms across many scales (e.g., population, individual, cellular, and molecular). This multidisciplinary field has applications ranging from hazard and risk prioritization of chemicals to safety screening of drug metabolites, and has active participation and growth from many organizations, including government agencies, not-for-profit organizations, private industry, and universities.

Mesh:

Year:  2012        PMID: 23007423     DOI: 10.1007/978-1-62703-050-2_1

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


  2 in total

Review 1.  Current Knowledge on the Use of Computational Toxicology in Hazard Assessment of Metallic Engineered Nanomaterials.

Authors:  Guangchao Chen; Willie Peijnenburg; Yinlong Xiao; Martina G Vijver
Journal:  Int J Mol Sci       Date:  2017-07-12       Impact factor: 5.923

2.  In Silico Predictions of Endocrine Disruptors Properties.

Authors:  Melanie Schneider; Jean-Luc Pons; Gilles Labesse; William Bourguet
Journal:  Endocrinology       Date:  2019-11-01       Impact factor: 4.736

  2 in total

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