Evaluating targets…
Connecting ChEMBL target similarity models.
Molecular exploration / release A preview
Explore structure-led variations, compare calculated properties, and preserve the reasoning behind every candidate.
Apply named, deterministic transformations to the active structure. Every output keeps its parent and method.
Choose constraints, then start a bounded RDKit run.
| Select | Candidate | Change from parent | Formula | Mol. weight | Est. logP | Drug-likeness | SAScore | MPO | CNS / ESOL | Similarity | Status |
|---|---|---|---|---|---|---|---|---|---|---|---|
| ⌁No candidate run yetYour generated structures will appear here with transparent lineage. | |||||||||||
Select up to four candidates to compare.
Evidence-based target similarity and bioactivity profiling against ChEMBL benchmark ligands. Morgan circular fingerprint (radius 2) Tanimoto nearest-neighbors across research tracks.
Connecting ChEMBL target similarity models.
Connecting ChEMBL target similarity models.
Connecting ChEMBL target similarity models.
Connecting ChEMBL target similarity models.
Generate bounded protonation and tautomer hypotheses for a selected pH range, then build a separate 3D ensemble for each state.
Preparation, not population predictionStates are plausible hypotheses. The app does not calculate microscopic pKa values or state populations, and energies are never compared between states.
Analyze the active structure, then enumerate its molecular states.