UCSF

ZINC58541555

Draw Identity 99% 90% 80% 70%

Substance Information

In ZINC since Heavy atoms Benign functionality
February 9th, 2011 33 Yes

Popular Name: N-[3-[4-(2,3-dichlorophenyl)piperazin-1-yl]propyl]-1,2-dimethyl-5-(2-pyridyl)pyrrole-3-carboxamide N-[3-[4-(2,3-dichlorophenyl)pipe…

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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) 3.94 13.38 -49.95 2 6 1 55 487.455 7 ↓
Mid Mid (pH 6-8) 3.94 11.16 -12.83 1 6 0 53 486.447 7 ↓

Activity (Go SEA)

Clustered Target Annotations
Code Description Organism Class Affinity (nM) LE (kcal/mol/atom) Type
5HT2A-1-E Serotonin 2a (5-HT2a) Receptor (cluster #1 Of 3), Eukaryotic Eukaryotes 43 0.31 Binding ≤ 10μM
5HT2C-1-E Serotonin 2c (5-HT2c) Receptor (cluster #1 Of 3), Eukaryotic Eukaryotes 267 0.28 Binding ≤ 10μM
KCNH2-1-E HERG (cluster #1 Of 5), Eukaryotic Eukaryotes 1700 0.24 Binding ≤ 10μM
SC6A4-1-E Serotonin Transporter (cluster #1 Of 4), Eukaryotic Eukaryotes 110 0.30 Binding ≤ 10μM
ChEMBL Target Annotations
Uniprot Swissprot Description Affinity (nM) LE (kcal/mol/atom) Type
5HT2A_HUMAN P28223 Serotonin 2a (5-HT2a) Receptor, Human 43 0.31 Binding ≤ 1μM
5HT2C_HUMAN P28335 Serotonin 2c (5-HT2c) Receptor, Human 267 0.28 Binding ≤ 1μM
SC6A4_HUMAN P31645 Serotonin Transporter, Human 110 0.30 Binding ≤ 1μM
KCNH2_HUMAN Q12809 HERG, Human 1700 0.24 Binding ≤ 10μM
5HT2A_HUMAN P28223 Serotonin 2a (5-HT2a) Receptor, Human 43 0.31 Binding ≤ 10μM
5HT2C_HUMAN P28335 Serotonin 2c (5-HT2c) Receptor, Human 267 0.28 Binding ≤ 10μM
SC6A4_HUMAN P31645 Serotonin Transporter, Human 110 0.30 Binding ≤ 10μM

Reactome Annotations from Targets (via Uniprot)

Description Species
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.