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Database Commons

a catalog of worldwide biological databases

Database Profile

DESSCD

General information

URL: http://www.cbrc.kaust.edu.sa/desscd/
Full name: Dragon Exploration System for Sickle Cell Disease
Description: DESSCD is a topic-specific biomedical text-mining tool focused on sickle cell disease (SCD) related data. DESSCD maps manually curated entities from specialized dictionaries onto the MEDLINE abstracts submitted for analysis.
Year founded: 2013
Last update:
Version: v1.0
Accessibility:
Accessible
Country/Region: Saudi Arabia

Classification & Tag

Data type:
Data object:
Database category:
Major species:
Keywords:

Contact information

University/Institution: King Abdullah University of Science and Technology
Address: Computer, Electrical and Mathematical Sciences and Engineering Division (CEMSE), Computational Bioscience Research Center (CBRC), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
City: Thuwal
Province/State:
Country/Region: Saudi Arabia
Contact name (PI/Team): Vladimir B. Bajic
Contact email (PI/Helpdesk): vladimir.bajic@kaust.edu.sa

Publications

23762313
Information exploration system for sickle cell disease and repurposing of hydroxyfasudil. [PMID: 23762313]
Essack M, Radovanovic A, Bajic VB.

Sickle cell disease (SCD) is a fatal monogenic disorder with no effective cure and thus high rates of morbidity and sequelae. Efforts toward discovery of disease modifying drugs and curative strategies can be augmented by leveraging the plethora of information contained in available biomedical literature. To facilitate research in this direction we have developed a resource, Dragon Exploration System for Sickle Cell Disease (DESSCD) (http://cbrc.kaust.edu.sa/desscd/) that aims to promote the easy exploration of SCD-related data. The Dragon Exploration System (DES), developed based on text mining and complemented by data mining, processed 419,612 MEDLINE abstracts retrieved from a PubMed query using SCD-related keywords. The processed SCD-related data has been made available via the DESSCD web query interface that enables: a/information retrieval using specified concepts, keywords and phrases, and b/the generation of inferred association networks and hypotheses. The usefulness of the system is demonstrated by: a/reproducing a known scientific fact, the "Sickle_Cell_Anemia-Hydroxyurea" association, and b/generating novel and plausible "Sickle_Cell_Anemia-Hydroxyfasudil" hypothesis. A PCT patent (PCT/US12/55042) has been filed for the latter drug repurposing for SCD treatment. We developed the DESSCD resource dedicated to exploration of text-mined and data-mined information about SCD. No similar SCD-related resource exists. Thus, we anticipate that DESSCD will serve as a valuable tool for physicians and researchers interested in SCD.

PLoS One. 2013:8(6) | 12 Citations (from Europe PMC, 2026-04-04)

Ranking

All databases:
5323/6932 (23.226%)
Health and medicine:
1332/1755 (24.16%)
5323
Total Rank
12
Citations
0.923
z-index

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Not Rated
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Record metadata

Created on: 2016-01-26
Curated by:
Jian Sang [2016-04-04]
Lin Liu [2016-02-12]
Lina Ma [2016-01-27]
Lin Liu [2016-01-26]