DESTAF: A database of text-mined associations for reproductive toxins potentially affecting human fertility

Adam Sean Dawe, Aleksandar Radovanovic, Mandeep Kaur, Sunil Sagar, Sundararajan Vijayaraghava Seshadri, Ulf Schaefer, Allan Kamau, Alan G. Christoffels, Vladimir B. Bajic

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

Abstract

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.DESTAF, along with a PDF manual, can be found at http://cbrc.kaust.edu.sa/destaf. It is free to academic and non-commercial users and will be updated quarterly. © 2011 Elsevier Inc.
Original languageEnglish (US)
Pages (from-to)99-105
Number of pages7
JournalReproductive Toxicology
Volume33
Issue number1
DOIs
StatePublished - Jan 2012

ASJC Scopus subject areas

  • Toxicology

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