Published on 03 February 2023
In Silico Database of In Vitro Tested Antiviral Compounds
View DatasetDescription
Antivirals are drugs used to treat viral diseases by inhibiting the infection or replication of viruses. With the wide variety of viruses, it is crucial to constantly find new antiviral options. One approach is to reposition existing drugs, which is a more cost-effective and faster method than traditional research and development. The problem is that there is a lack of organized and standardized data on these drugs. This work aims to address this issue by creating a database of in vitro-tested antivirals. The information and compounds were collected from published in vitro antiviral studies. The database includes six different file formats (SMILES, MOL, SDF 2D, MOL2, PDB, and PDBQT) and categorizes the compounds based on their antiviral activity.
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Metrics Over Time
Publication Details
Subfield
Epidemiology
Field
Medicine
Domain
Health Sciences
Confidence Score
55%
Source
Scholar Data Model