Coronavirus Infectious Disease Ontology
No XSD schemas defined
Conditions of UseApplies to: Data use
|Download (OWL)||https://raw.githubusercontent.com/CIDO-ontology/cido/master/src/ontolo ...|
Ontological and Bioinformatic Analysis of Anti-Coronavirus Drugs and Their Implication for Drug Repurposing against COVID-19 (Preprint)
Yingtong Liu , Wallace Chan , Zhigang Wang , Junguk Hur ORCID logo , Jiangan Xie , Hong Yu , Yongqun He
No guidelines defined
Models and Formats
No syntax standards defined
No identifier schema standards defined
No metrics standards defined
The DrugBank database is a freely available bioinformatics and chemoinformatics resource that combines detailed drug (i.e. chemical, pharmacological and pharmaceutical) data with comprehensive drug target (i.e. sequence, structure, and pathway) information.
PubMed Central (PMC) is the U.S. National Institutes of Health (NIH) digital archive of biomedical and life sciences journal literature.
PubMed is a search engine of biomedical literature, provided as a service of the U.S. National Library of Medicine and includes more than 25 million citations for biomedical literature from MEDLINE, life science journals, and online books. Citations may include links to full-text content from PubMed Central and publisher web sites.
Biological General Repository for Interaction Datasets
BioGRID is an interaction repository with data compiled through comprehensive curation efforts. Our current index is version 3.5.174 and searches 69,922 publications for 1,706,694 protein and genetic interactions, 28,093 chemical associations and 726,378 post translational modifications from major model organism species. All data are freely provided via our search index and available for download in standardized formats.
Kyoto Encyclopedia of Genes and Genomes
KEGG is a database resource for understanding high-level functions and utilities of the biological system, such as the cell, the organism and the ecosystem, from molecular-level information, especially large-scale molecular datasets generated by genome sequencing and other high-throughput experimental technologies.
The Open Biological and Biomedical Ontology (OBO) Foundry is a collective of ontology developers that are committed to collaboration and adherence to shared principles. The mission of the OBO Foundry is to develop a family of interoperable ontologies that are both logically well-formed and scientifically accurate. To achieve this, OBO Foundry participants voluntarily adhere to and contribute to the development of an evolving set of principles including open use, collaborative development, non-overlapping and strictly-scoped content, and common syntax and relations, based on ontology models that work well, such as the Gene Ontology (GO). The OBO Foundry is overseen by an Operations Committee with Editorial, Technical and Outreach working groups.
Scroll for more...
This record is not implemented by any policy.
This record is maintained by yongqunh
Guizhou Medical University, Guiyang, Guizhou, China (University) Lead