Rdkit scaffold analysis starter
Use this skill to compute Murcko scaffold summaries for a small local molecule set with RDKit. Prefer it for deterministic scaffold grouping and smoke-scale cheminformatics checks.From its SKILL.md
npx -y skills add ma-compbio-lab/SkillFoundry --skill rdkit-scaffold-analysis-starterAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
SKILL.md
2.3 KB, 502 tokens by cl100k_base, as published. Nobody here has run it
Purpose
Analyze a small local TSV of SMILES strings with RDKit Murcko scaffolds and emit a compact JSON summary that can feed later smoke integration or scaffold triage workflows.
When to use
- You need a local scaffold grouping summary for a small curated molecule set.
- You want canonical SMILES, Murcko scaffolds, generic scaffolds, and group counts from one deterministic run.
When not to use
- You need large library clustering, matched molecular pair analysis, or SAR interpretation.
- You need remote compound lookup or medicinal-chemistry recommendations.
Inputs
- A TSV file with columns
nameandsmiles - Optional JSON output path
Outputs
- JSON with per-molecule canonical SMILES, Murcko scaffold, generic scaffold, scaffold groups, generic scaffold groups, and summary counts
Requirements
slurm/envs/chem-tools/bin/python- RDKit available in that environment
Procedure
- Inspect
examples/molecules.tsv. - Run
slurm/envs/chem-tools/bin/python skills/drug-discovery-and-cheminformatics/rdkit-scaffold-analysis-starter/scripts/run_rdkit_scaffold_analysis.py --input skills/drug-discovery-and-cheminformatics/rdkit-scaffold-analysis-starter/examples/molecules.tsv. - Review
molecules,scaffold_groups, andsummary.
Validation
- The bundled example returns at least one scaffold group with count
>= 2. - Invalid SMILES input returns a non-zero exit code with a clear error message.
Failure modes and fixes
- Invalid SMILES: fix the offending row in the input TSV.
- Missing RDKit environment: rerun with
slurm/envs/chem-tools/bin/python. - Missing
nameorsmilescolumns: use a header row with exactly those field names.
Safety and limits
- Local scaffold computation only.
- No medicinal-chemistry conclusions are implied by the grouping.
Provenance
- RDKit docs: https://www.rdkit.org/docs/index.html
- RDKit Murcko scaffold API: https://www.rdkit.org/docs/source/rdkit.Chem.Scaffolds.MurckoScaffold.html
- RDKit repository: https://github.com/rdkit/rdkit
Related skills
rdkit-molecular-descriptorsrdkit-molecule-standardization
What ships with it: 8 files
14.3 KB alongside SKILL.md, 2 of them executable
assets/
- example_scaffold_summary.json2.0 KB
- README.md145 B
examples/
- molecules.tsv96 B
- README.md422 B
scripts/
- run_rdkit_scaffold_analysis.pyruns6.7 KB
tests/
- test_run_rdkit_scaffold_analysis.pyruns3.5 KB
- metadata.yaml1.3 KB
- refs.md221 B