UCSF

ZINC03874895

Physical Representations

Type pH range xlogP Des A‑Pol Apolar desolvation (kcal/mol) Des Pol Polar desolvation (kcal/mol) H Don H-bond donors H Acc H-bond acceptors Chg Net charge tPSA (Ų) MWT Molecular weight (g/mol) RB Rotatable bonds DL
Ref Reference (pH 7) 4.46 7.84 -38 2 2 1 25 266.38 5
Hi High (pH 8-9.5) 4.46 8.59 -46.54 1 2 0 27 265.372 5

Activity (Go SEA)

Clustered Target Annotations
Code Description Organism Class Affinity (nM) LE (kcal/mol/atom) Type
5HT1A-1-E Serotonin 1a (5-HT1a) Receptor (cluster #1 Of 4), Eukaryotic Eukaryotes 52 0.54 Binding ≤ 10μM
5HT7R-1-E Serotonin 7 (5-HT7) Receptor (cluster #1 Of 3), Eukaryotic Eukaryotes 3180 0.41 Binding ≤ 10μM
Z104304-1-O Adrenergic Receptor Alpha-1 (cluster #1 Of 3), Other Other 6080 0.38 Binding ≤ 10μM
Z50425-3-O Plasmodium Falciparum (cluster #3 Of 22), Other Other 501 0.46 Functional ≤ 10μM
DRD2-2-E Dopamine D2 Receptor (cluster #2 Of 24), Eukaryotic Eukaryotes 614 0.46 Binding ≤ 10μM
ChEMBL Target Annotations
Uniprot Swissprot Description Affinity (nM) LE (kcal/mol/atom) Type
DRD2_RAT P61169 Dopamine D2 Receptor, Rat 400 0.47 Binding ≤ 1μM
5HT1A_RAT P19327 Serotonin 1a (5-HT1a) Receptor, Rat 24.8 0.56 Binding ≤ 1μM
5HT1A_HUMAN P08908 Serotonin 1a (5-HT1a) Receptor, Human 87 0.52 Binding ≤ 1μM
Z104304 Z104304 Adrenergic Receptor Alpha-1 6080 0.38 Binding ≤ 10μM
DRD2_RAT P61169 Dopamine D2 Receptor, Rat 400 0.47 Binding ≤ 10μM
DRD2_HUMAN P14416 Dopamine D2 Receptor, Human 3760 0.40 Binding ≤ 10μM
5HT1A_RAT P19327 Serotonin 1a (5-HT1a) Receptor, Rat 24.8 0.56 Binding ≤ 10μM
5HT1A_HUMAN P08908 Serotonin 1a (5-HT1a) Receptor, Human 87 0.52 Binding ≤ 10μM
5HT7R_RAT P32305 Serotonin 7 (5-HT7) Receptor, Rat 3180 0.41 Binding ≤ 10μM
Z50425 Z50425 Plasmodium Falciparum 398.107171 0.47 Functional ≤ 10μM

Reactome Annotations from Targets (via Uniprot)

Description Species
Dopamine receptors
G alpha (i) signalling events
G alpha (s) signalling events
Serotonin receptors

Analogs ( Draw Identity 99% 90% 80% 70% )

No pre-computed analogs available. Try a structural similarity search.