Molecular Simulation Data for Antiviral Compounds from Selaginella Bryopteris

Harvard Dataverse hosts molecular simulation data associated with a network pharmacology study. The research, authored by Alejandro Morales-Bayuelo, investigates Amentoflavone and Myo-Inositol as potential multi-target antivirals derived from the plant Selaginella bryopteris. The dataset's specific structure, including row and column counts, is not detailed in the available metadata.

Use Cases

• Analyze molecular simulation trajectories to understand the binding dynamics of Amentoflavone and Myo-Inositol with viral targets.
• Apply network pharmacology models using the provided simulation data to validate multi-target antiviral mechanisms.
• Use the computational chemistry data as a foundation for virtual screening of other compounds from Selaginella bryopteris.

Strengths

• Data originates from a formal academic study published on the Harvard Dataverse platform.
• The dataset is associated with a specific, peer-reviewed research question in chemistry and pharmacology.

Limitations

• The metadata lacks concrete details on data volume, structure, or specific file formats, hindering immediate usability assessment.
• Without column names or sample data, the precise variables and data model are unknown, requiring direct inspection of the files.

Provenance

Source

Harvard Dataverse

Collection Method

Molecular simulation and computational pharmacology analysis.

Freshness

The record was last updated on 2026-01-22.