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

Adam S. Dawe; Aleksandar Radovanovic; Mandeep Kaur; Sunil Sagar; Sundararajan V. Seshadri; Ulf Schaefer; Allan A. Kamau; Alan Christoffels; Vladimir B. Bajic

doi:10.1016/j.reprotox.2011.12.007

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

Adam S. Dawe, Aleksandar Radovanovic, Mandeep Kaur, Sunil Sagar, Sundararajan V. Seshadri, Ulf Schaefer, Allan A. Kamau, Alan Christoffels, Vladimir B. Bajic^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

13 Citations (Scopus)

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.

Original language	English
Pages (from-to)	99-105
Number of pages	7
Journal	Reproductive Toxicology
Volume	33
Issue number	1
DOIs	https://doi.org/10.1016/j.reprotox.2011.12.007
Publication status	Published - Jan 2012
Externally published	Yes

Bibliographical note

Funding Information:
SVS and AC have been supported by the South African Department of Science and Technology/National Research Foundation (DST/NRF) Research Chair in Bioinformatics and Human Health .

Keywords

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

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10.1016/j.reprotox.2011.12.007

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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.",

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note = "Funding Information: SVS and AC have been supported by the South African Department of Science and Technology/National Research Foundation (DST/NRF) Research Chair in Bioinformatics and Human Health . ",

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AU - Schaefer, Ulf

AU - Kamau, Allan A.

AU - Christoffels, Alan

AU - Bajic, Vladimir B.

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

Abstract

Bibliographical note

Keywords

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