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データ・研究 · SKILL.md

fingerprints-similarity

fingerprints-similarity

Guides agents using datamol to compute molecular fingerprints and descriptors, distance matrices, clusters, diverse or centroid picks, MCS SMARTS, and graph matches.

Independent GitHub snapshot · Automated classification · Original documentation governs

スキルの説明

GitHub

name: fingerprints-similarity description: "Guides agents using datamol to compute molecular fingerprints and descriptors, distance matrices, clusters, diverse or centroid picks, MCS SMARTS, and graph matches." disable-model-invocation: true metadata: disco-role: operating license: Apache 2.0

Datamol Fingerprints and Similarity

Use this sub-skill when a task asks for molecular fingerprints, descriptor tables, Tanimoto/Jaccard distance matrices, Butina clustering, diversity selection, centroid assignment, maximum common substructures, or molecular graph isomorphism with datamol.

Read First

  • Start with references/api-reference.md for signatures, defaults, return shapes, and parameter choices.
  • Use references/workflows.md for recipes covering fingerprint matrices, pairwise/cross distances, clustering, diversity and centroid picking, MCS checks, and graph matching.
  • Use references/troubleshooting.md when molecules fail to parse, fingerprint types are unknown, arrays have inconsistent shapes, parallel jobs misbehave, clusters are empty, or MCS is slow/partial.
  • Run scripts/fingerprint_similarity_smoke.py for a deterministic tiny smoke test of supported fingerprints, fingerprints, distance matrices, clusters, diverse picks, and MCS.

Scope Boundaries

  • In scope: dm.to_fp, dm.fp_to_array, dm.fold_count_fp, dm.list_supported_fingerprints, dm.descriptors.compute_many_descriptors, dm.descriptors.batch_compute_many_descriptors, dm.pdist, dm.cdist, dm.cluster_mols, dm.pick_diverse, dm.pick_centroids, dm.assign_to_centroids, dm.find_mcs, dm.to_graph, and dm.match_molecular_graphs.
  • For invalid SMILES, salt cleanup, standardization, or molecule normalization before fingerprints, use ../molecule-io-prep/.
  • For scaffold extraction, fuzzy scaffolds, enumeration, fragments, reactions, or generated structures, use ../structure-generation/.
  • For drawing cluster representatives, highlighted molecules, or grids of picks, use ../visualization-utilities/.

Quick Routing

  • Need numeric features for ML or similarity: read the fingerprint and descriptor sections in references/api-reference.md.
  • Need all-vs-all or query-vs-library distances: follow the pairwise/cross-distance recipes in references/workflows.md.
  • Need representative molecules: choose Butina clustering, pick_diverse, or pick_centroids with guidance from references/workflows.md.
  • Need shared chemistry across related molecules: use dm.find_mcs and validate timeout behavior with references/troubleshooting.md.
  • Need atom-index graph correspondence: use dm.match_molecular_graphs and watch explicit-hydrogen ambiguity.
保存したスキル