UCSF

ZINC64548797

Draw Identity 99% 90% 80% 70%

Substance Information

In ZINC since Heavy atoms Benign functionality
June 21st, 2011 30 Yes

Popular Name: 5-[4-[4-(1-naphthyl)piperazin-1-yl]butoxy]isoindoline 5-[4-[4-(1-naphthyl)piperazin-1-…

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Download: MOL2 SDF SMILES Flexibase

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) 4.44 13.72 -93.13 3 4 2 34 403.57 7 ↓
Mid Mid (pH 6-8) 4.44 11.52 -45.56 2 4 1 32 402.562 7 ↓

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 0 0.00 Binding ≤ 10μM
5HT2A-2-E Serotonin 2a (5-HT2a) Receptor (cluster #2 Of 3), Eukaryotic Eukaryotes 5 0.39 Binding ≤ 10μM
KCNH2-1-E HERG (cluster #1 Of 5), Eukaryotic Eukaryotes 1560 0.27 Binding ≤ 10μM
DRD2-9-E Dopamine D2 Receptor (cluster #9 Of 24), Eukaryotic Eukaryotes 41 0.34 Binding ≤ 10μM
ChEMBL Target Annotations
Uniprot Swissprot Description Affinity (nM) LE (kcal/mol/atom) Type
DRD2_HUMAN P14416 Dopamine D2 Receptor, Human 40.7 0.34 Binding ≤ 1μM
5HT1A_HUMAN P08908 Serotonin 1a (5-HT1a) Receptor, Human 0.204 0.45 Binding ≤ 1μM
5HT2A_HUMAN P28223 Serotonin 2a (5-HT2a) Receptor, Human 5.07 0.39 Binding ≤ 1μM
DRD2_HUMAN P14416 Dopamine D2 Receptor, Human 40.7 0.34 Binding ≤ 10μM
KCNH2_HUMAN Q12809 HERG, Human 1560 0.27 Binding ≤ 10μM
5HT1A_HUMAN P08908 Serotonin 1a (5-HT1a) Receptor, Human 0.204 0.45 Binding ≤ 10μM
5HT2A_HUMAN P28223 Serotonin 2a (5-HT2a) Receptor, Human 5.07 0.39 Binding ≤ 10μM

Reactome Annotations from Targets (via Uniprot)

Description Species
Dopamine receptors
G alpha (i) signalling events
G alpha (q) signalling events
Serotonin receptors
Voltage gated Potassium channels

Rings

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

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