S4 File presents 36 drug compounds from a refined candidate pool that exhibited high structural similarity to known FOLH1 ligands. The dataset, authored by Rui Zhang and last updated on 2026-05-22, contains candidates with similarity scores exceeding 0.8, as determined by the ChemFusionSimilarity method.
Use Cases
- Prioritizing drug candidates for experimental validation based on high structural similarity scores.
- Training or benchmarking ligand-based virtual screening models using known FOLH1 ligands.
- Analyzing chemical space for FOLH1 modulators based on structural resemblance to established ligands.
Strengths
- Contains 36 specifically identified high-similarity drug candidates.
- All candidates have a quantified similarity score exceeding 0.8 to known ligands.
- Released under the permissive CC-BY-4.0 license for reuse.
Limitations
- The dataset is very small at 4.4 KB, indicating limited scope.
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
Provenance
- Source
- Rui Zhang via figshare
- Collection Method
- Candidate selection using ChemFusionSimilarity scoring against known FOLH1 ligands.
- Time Range
- null
- Freshness
- Last updated 2026-05-22 17:42:55; freshness should be verified.
- Geography
- null