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Rdkit scaffold analysis starter

Skill ma-compbio-lab/SkillFoundry/skills/drug-discovery-and-cheminformatics/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

Install
npx -y skills add ma-compbio-lab/SkillFoundry --skill rdkit-scaffold-analysis-starter

Assembled 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 name and smiles
  • 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

  1. Inspect examples/molecules.tsv.
  2. 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.
  3. Review molecules, scaffold_groups, and summary.

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 name or smiles columns: 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

Related skills

  • rdkit-molecular-descriptors
  • rdkit-molecule-standardization

What ships with it: 8 files

14.3 KB alongside SKILL.md, 2 of them executable

examples/

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