Title
T3db: The Toxic Exposome Database
Abstract
The exposome is defined as the totality of all human environmental exposures from conception to death. It is often regarded as the complement to the genome, with the interaction between the exposome and the genome ultimately determining one's phenotype. The 'toxic exposome' is the complete collection of chronically or acutely toxic compounds to which humans can be exposed. Considerable interest in defining the toxic exposome has been spurred on by the realization that most human injuries, deaths and diseases are directly or indirectly caused by toxic substances found in the air, water, food, home or workplace. The Toxin-Toxin-Target Database (T3DB - www.t3db.ca) is a resource that was specifically designed to capture information about the toxic exposome. Originally released in 2010, the first version of T3DB contained data on nearly 2900 common toxic substances along with detailed information on their chemical properties, descriptions, targets, toxic effects, toxicity thresholds, sequences (for both targets and toxins), mechanisms and references. To more closely align itself with the needs of epidemiologists, toxicologists and exposome scientists, the latest release of T3DB has been substantially upgraded to include many more compounds (> 3600), targets (> 2000) and gene expression datasets (> 15 000 genes). It now includes extensive data on 'normal' toxic compound concentrations in human biofluids as well as detailed chemical taxonomies, informative chemical ontologies and a large number of referential NMR, MS/MS and GC-MS spectra. This manuscript describes the most recent update to the T3DB, which was previously featured in the 2010 NAR Database Issue.
Year
DOI
Venue
2015
10.1093/nar/gku1004
NUCLEIC ACIDS RESEARCH
Field
DocType
Volume
Biology,Environmental exposure,Genetics,Database,Exposome
Journal
43
Issue
ISSN
Citations 
D1
0305-1048
11
PageRank 
References 
Authors
0.72
9
13
Name
Order
Citations
PageRank
David S. Wishart12586179.98
David Arndt257632.45
Allison Pon350825.07
Tanvir Sajed41165.96
Anchi Guo51788111.76
Yannick Djoumbou681038.10
Craig Knox71879110.23
Michael Wilson8110.72
Yongjie Liang9787.28
Jason Grant10151.12
Yifeng Liu1144420.65
Seyed Ali Goldansaz12110.72
Stephen M Rappaport13110.72