Accessing, using, and creating chemical property databases for computational toxicology modeling
2012 (English)In: Computational Toxicology: Volume I, Springer , 2012, 221-241 p.Chapter in book (Refereed)
Toxicity data is expensive to generate, is increasingly seen as precompetitive, and is frequently used for the generation of computational models in a discipline known as computational toxicology. Repositories of chemical property data are valuable for supporting computational toxicologists by providing access to data regarding potential toxicity issues with compounds as well as for the purpose of building structure-toxicity relationships and associated prediction models. These relationships use mathematical, statistical, and modeling computational approaches and can be used to understand the mechanisms by which chemicals cause harm and, ultimately, enable prediction of adverse effects of these chemicals to human health and/or the environment. Such approaches are of value as they offer an opportunity to prioritize chemicals for testing. An increasing amount of data used by computational toxicologists is being published into the public domain and, in parallel, there is a greater availability of Open Source software for the generation of computational models. This chapter provides an overview of the types of data and software available and how these may be used to produce predictive toxicology models for the community.
Place, publisher, year, edition, pages
Springer , 2012. 221-241 p.
, Methods in Molecular Biology, ISSN 1064-3745 ; 929
Bioinformatics, Cheminformatics, Computational toxicology, Public domain toxicology data, QSAR, Toxicology databases
Bioinformatics (Computational Biology)
IdentifiersURN: urn:nbn:se:kth:diva-129767DOI: 10.1007/978-1-62703-050-2-10ScopusID: 2-s2.0-84873542249ISBN: 978-162703049-6OAI: oai:DiVA.org:kth-129767DiVA: diva2:653949
FunderSwedish e‐Science Research Center
QC 201310072013-10-072013-10-042013-10-07Bibliographically approved