ArticleScientific data2021
Ontological modeling and analysis of experimentally or clinically verified drugs against coronavirus infection.
Article in Scientific data, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
13 citing papers in PubMed, 18 citations in OpenAlex.
- Article
- Article
- A comprehensive update on CIDO: the community-based coronavirus infectious disease ontology.Journal of biomedical semantics · 2022Article
- Differential COVID-19 Symptoms Given Pandemic Locations, Time, and Comorbidities During the Early Pandemic.Frontiers in medicine · 2022Article
- Profiling COVID-19 Vaccine Adverse Events by Statistical and Ontological Analysis of VAERS Case Reports.Frontiers in pharmacology · 2022Article
- A new framework for host-pathogen interaction research.Frontiers in immunology · 2022Article
- A community effort for COVID-19 Ontology Harmonization.CEUR workshop proceedings · 2022Article
- Development of the International Classification of Diseases Ontology (ICDO) and its application for COVID-19 diagnostic data analysis.BMC bioinformatics · 2021Article
- CIDO ontology updates and secondary analysis of host responses to COVID-19 infection based on ImmPort reports and literature.Journal of biomedical semantics · 2021Article
- Precision omics data integration and analysis with interoperable ontologies and their application for COVID-19 research.Briefings in functional genomics · 2021Article
- OntoRepliCov: an Ontology-Based Approach for Modeling the SARS-CoV-2 Replication Process.Procedia computer science · 2021Article
- A Birds-Eye (Re)View of Acid-Suppression Drugs, COVID-19, and the Highly Variable Literature.Frontiers in pharmacology · 2021Article
- An Overview of Biomedical Ontologies for Pandemics and Infectious Diseases Representation.Procedia computer science · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 5 institutions in 2 countries.
Funding
Abstract
Our systematic literature collection and annotation identified 106 chemical drugs and 31 antibodies effective against the infection of at least one human coronavirus (including SARS-CoV, SAR-CoV-2, and MERS-CoV) in vitro or in vivo in an experimental or clinical setting. A total of 163 drug protein targets were identified, and 125 biological processes involving the drug targets were significantly enriched based on a Gene Ontology (GO) enrichment analysis. The Coronavirus Infectious Disease Ontology (CIDO) was used as an ontological platform to represent the anti-coronaviral drugs, chemical compounds, drug targets, biological processes, viruses, and the relations among these entities. In addition to new term generation, CIDO also adopted various terms from existing ontologies and developed new relations and axioms to semantically represent our annotated knowledge. The CIDO knowledgebase was systematically analyzed for scientific insights. To support rational drug design, a "Host-coronavirus interaction (HCI) checkpoint cocktail" strategy was proposed to interrupt the important checkpoints in the dynamic HCI network, and ontologies would greatly support the design process with interoperable knowledge representation and reasoning.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.