AZD3778   Click here for help

GtoPdb Ligand ID: 7679

Synonyms: AZD 3778 | AZD-3778
Compound class: Synthetic organic
Comment: AZD3778 was an investigational chemokine receptor antagonist, being evaluated as a potentila treatment for asthma. However, the compound failed to show efficacy and development project was halted. A poor level of target engagement and sub-optimal pharmacodynamic activity due to the pharmacokinetic properties of the compound were likely causes. This compound is discussed in the AZ 2014 review paper [2].
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Ligand Activity Visualisation Charts

These are box plot that provide a unique visualisation, summarising all the activity data for a ligand taken from ChEMBL and GtoPdb across multiple targets and species. Click on a plot to see the median, interquartile range, low and high data points. A value of zero indicates that no data are available. A separate chart is created for each target, and where possible the algorithm tries to merge ChEMBL and GtoPdb targets by matching them on name and UniProt accession, for each available species. However, please note that inconsistency in naming of targets may lead to data for the same target being reported across multiple charts.

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View interactive charts of activity data across species
2D Structure
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2D Structure

An image of the ligand's 2D structure. For small molecules with SMILES these are drawn using the NCI/CADD Chemical Identifier Resolver. Click on the image to access the chemical structure search tool with the ligand pre-loaded in the structure editor. For other types of ligands, e.g. longer nucleotides and peptides, a manually drawn representation of the molecule may be provided.

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Click here for structure editor
Physico-chemical Properties
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Physico-chemical Properties

Calculated molecular properties are available for small molecules and natural products (not peptides). Properties were generated using the Chemistry Development Kit (CDK) (Willighagen EL et al. Journal of Cheminformatics vol. 9:33. 2017, doi:10.1186/s13321-017-0220-4; https://cdk.github.io/). All properties were selected to enable the prediction of the Lipinski Rule-of-Five profile or ‘druglikeness’ for each ligand. For more info on each category see the help pages.

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Hydrogen bond acceptors 6
Hydrogen bond donors 1
Rotatable bonds 7
Topological polar surface area 87.33
Molecular weight 525.13
XLogP 4.89
No. Lipinski's rules broken 0

Generated using the Chemistry Development Kit (CDK) (Willighagen EL et al. Journal of Cheminformatics vol. 9:33. 2017, doi:10.1186/s13321-017-0220-4; https://cdk.github.io/)
SMILES / InChI / InChIKey
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SMILES / InChI / InChIKey

SMILES (Simplified Molecular Input Line Entry Specification) A specification for unambiguously describing the structure of chemical molecules using short ASCII strings. Canonical SMILES specify a unique representation of the 2D structure without chiral or isotopic specifications. Isomeric SMILES include chiral specification and isotopes.

Standard InChI (IUPAC International Chemical Identifier) and InChIKey InChI is a non-proprietary, standard, textual identifier for chemical substances designed to facilitate linking of information and database searching. An InChIKey is a simplified version of a full InChI, designed for easier web searching.

Generated using the Chemistry Development Kit (CDK) (Willighagen EL et al. Journal of Cheminformatics vol. 9:33. 2017, doi:10.1186/s13321-017-0220-4; https://cdk.github.io/)

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Canonical SMILES Cc1ccc(cc1)S(=O)(=O)NC(=O)N1CCC(CC1)N1CCC(CC1)Oc1ccc(c(c1)Cl)Cl
Isomeric SMILES Cc1ccc(cc1)S(=O)(=O)NC(=O)N1CCC(CC1)N1CCC(CC1)Oc1ccc(c(c1)Cl)Cl
InChI InChI=1S/C24H29Cl2N3O4S/c1-17-2-5-21(6-3-17)34(31,32)27-24(30)29-12-8-18(9-13-29)28-14-10-19(11-15-28)33-20-4-7-22(25)23(26)16-20/h2-7,16,18-19H,8-15H2,1H3,(H,27,30)
InChI Key QVLZVRFIGXNZMN-UHFFFAOYSA-N

Generated using the Chemistry Development Kit (CDK) (Willighagen EL et al. Journal of Cheminformatics vol. 9:33. 2017, doi:10.1186/s13321-017-0220-4; https://cdk.github.io/)
References
1. Bahl A, Barton P, Bowers K, Brough S, Evans R, Luckhurst CA, Mochel T, Perry MW, Rigby A, Riley RJ et al.. (2012)
The discovery of CCR3/H1 dual antagonists with reduced hERG risk.
Bioorg Med Chem Lett, 22 (21): 6688-93. [PMID:23031591]
2. Cook D, Brown D, Alexander R, March R, Morgan P, Satterthwaite G, Pangalos MN. (2014)
Lessons learned from the fate of AstraZeneca's drug pipeline: a five-dimensional framework.
Nat Rev Drug Discov, 13 (6): 419-31. [PMID:24833294]