StructureMoa is a chemical-structure exploration tool. Structural similarity, clustering, and SAR relationships are intended for research exploration and do not establish shared potency, selectivity, safety, efficacy, or clinical performance.

구조 탐색 연산 · 신경

Catalog graph and stored Morgan fingerprints: sparse SAR, cross-scaffold Tanimoto, leaf nodes, weakly linked compounds, and approved-tag gaps. No new candidates are invented.

제안 9화합물 9413 패밀리

Sparse SAR1

Family size is relatively large, but similarity edges are few.

Leaf node4

Few derived children in the catalog graph.

Weakly linked2

Low relation degree and few similarity neighbors.

Approved-tag gap2

Few mid-similarity bridges around an approved or clinical-tagged drug.

Exploration score method

StructureMoa ranks are a rule-based Exploration Score. An LLM does not predict activity or efficacy. Role, SMILES, and relation signals inside each family are summed and cut into High / Medium / Low exploration priority.

Core tab

  • scaffold / payload / linker role weights
  • family center-compound bonus
  • SMILES source (db · known · pubchem · inherited)
  • relation-edge count and derived-child count

Derivative tab

  • drug / derivative / adc candidates
  • similarity to family center via Morgan fingerprint, radius 2, 2048 bits, Tanimoto
  • approved / clinical catalog-tag bonuses
  • ADC / payload tags

Explore tab

  • sparse SAR, cross-scaffold pairs, expansion leaves
  • weakly linked nodes and approved-tag neighborhood gaps
  • relation graph + stored Morgan fingerprints
  • category filters

Exploration-priority bins

  • High (X-S): top ~12%
  • Medium (X-A/X-B): ~12–62%
  • Low (X-C): remainder (pools under 5 compounds stay Medium)

Internal exploration metric based on catalog and structural signals. Not a prediction of efficacy, safety, potency, or development success.

Full methodology

Assessed: 9/11/2026, 5:36:19 AM · 5 min cache · All families