Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

PathoPhenoDB

General information

URL: http://patho.phenomebrowser.net
Full name: A database of pathogens and their phenotypes for diagnostic support in infections
Description: PathoPhenoDB aims to support diagnosis of infectious diseases caused by known pathogens. The database relies on the pathogen-to-phenotype associations. Pathogen-disease relations are linked to disease-phenotypes by using text mining methods.
Year founded: 2019
Last update:
Version:
Accessibility:
Accessible
Country/Region: Saudi Arabia

Classification & Tag

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

Contact information

University/Institution: King Abdullah University of Science and Technology
Address: Computer, Electrical and Mathematical Sciences & Engineering with Division, Computational Bioscience Research Center, King Abdullah University of Science and Technology, Thuwal, 23955, Saudi Arabia
City:
Province/State:
Country/Region: Saudi Arabia
Contact name (PI/Team): Hoehndorf R
Contact email (PI/Helpdesk): robert.hoehndorf@kaust.edu.sa

Publications

31160594
PathoPhenoDB, linking human pathogens to their phenotypes in support of infectious disease research. [PMID: 31160594]
Şenay Kafkas, Marwa Abdelhakim, Yasmeen Hashish, Maxat Kulmanov, Marwa Abdellatif, Paul N Schofield, Robert Hoehndorf

Understanding the relationship between the pathophysiology of infectious disease, the biology of the causative agent and the development of therapeutic and diagnostic approaches is dependent on the synthesis of a wide range of types of information. Provision of a comprehensive and integrated disease phenotype knowledgebase has the potential to provide novel and orthogonal sources of information for the understanding of infectious agent pathogenesis, and support for research on disease mechanisms. We have developed PathoPhenoDB, a database containing pathogen-to-phenotype associations. PathoPhenoDB relies on manual curation of pathogen-disease relations, on ontology-based text mining as well as manual curation to associate host disease phenotypes with infectious agents. Using Semantic Web technologies, PathoPhenoDB also links to knowledge about drug resistance mechanisms and drugs used in the treatment of infectious diseases. PathoPhenoDB is accessible at http://patho.phenomebrowser.net/ , and the data are freely available through a public SPARQL endpoint.

Sci Data. 2019:6(1) | 11 Citations (from Europe PMC, 2026-06-06)

Ranking

All databases:
4527/6932 (34.709%)
Genotype phenotype and variation:
654/1014 (35.602%)
4527
Total Rank
10
Citations
1.429
z-index

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Record metadata

Created on: 2019-10-26
Curated by:
irfan Hussain [2019-11-19]
Amjad Ali [2019-10-26]