DESTAF: A database of text-mined associations for reproductive toxins potentially affecting human fertility
A.S. Dawe, A. Radovanovic, M. Kaur, S. Sagar, S.V. Seshadri, U. Schaefer, A.A. Kamau, A. Christoffels, V.B. Bajic
Reprod Toxicol, 33(1), pp. 99-105, (2011)
Keywords
Reproductive toxicology, Developmental toxicology, Database, Toxicogenomics, Text-mining, Data-mining, Hypothesis generation, Integration systems
Abstract
Page Content
The Dragon Exploration System for Toxicants and Fertility
(DESTAF) is a publicly available resource which enables researchers to
efficiently explore both known and potentially novel information and
associations in the field of reproductive toxicology. To create DESTAF
we used data from the literature (including over 10 500 PubMed
abstracts), several publicly available biomedical repositories, and
specialized, curated dictionaries. DESTAF has an interface designed to
facilitate rapid assessment of the key associations between relevant
concepts, allowing for a more in-depth exploration of information based
on different gene/protein-, enzyme/metabolite-, toxin/chemical-,
disease- or anatomically centric perspectives. As a special feature,
DESTAF allows for the creation and initial testing of potentially new
association hypotheses that suggest links between biological entities
identified through the database.
Code
DOI: 10.1016/j.reprotox.2011.12.007
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