High Scoring Drug-like Compounds for Virtual Screening
Available on 1 platform
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Description
A collection of compounds identified as having high scores for drug-like properties. The dataset is hosted on Kaggle, but specific details on the number of compounds, their source, and creation date are unavailable from the provided metadata. The title suggests the data is likely used for computational chemistry and machine learning applications.
Use Cases
Train a model to predict drug-likeness scores for new molecular structures (inferred from domain, verify after download)
Benchmark virtual screening algorithms against a set of pre-scored compounds (inferred from domain, verify after download)
Analyze correlations between molecular descriptors and high-scoring drug-like properties (inferred from domain, verify after download)
Strengths
Published on Kaggle, a platform with established data sharing and versioning.
Limitations
Metadata is minimal; actual content requires verification after download.
Column-level documentation is absent; field semantics must be inferred after download.
Row count is unknown, which may limit suitability assessment.
Provenance
Source
Kaggle
Collection Method
Unknown
Time Range
Unknown
Freshness
Last update date is unknown; freshness unverified.