Published on 03 February 2023

In Silico Database of In Vitro Tested Antiviral Compounds

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Porto, Nicolas;Cheohen, Caio;alves, maria eduarda;Leal da silva, Manuela

Description

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.

Citations (0)

Mentions (0)

Metrics

Dataset Index

1.6

FAIR Score

65%

Citations

0

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

Mendeley Data

Assigned Domain

Subfield

Epidemiology

Field

Medicine

Domain

Health Sciences

Confidence Score

55%

Source

Scholar Data Model

Keywords

BiochemistryPharmacologyBioinformaticsFOS: Computer and information sciencesAntiviral

Normalization Factors

FT

13.46

CTw

1.00

MTw

1.00