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):99-105, (2011)

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

Keywords

Reproductive toxicology, Developmental toxicology, Database, Toxicogenomics, Text-mining, Data-mining, Hypothesis generation, Integration systems

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.

Code

DOI: 10.1016/j.reprotox.2011.12.007

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