rilapladib   Click here for help

GtoPdb Ligand ID: 7376

Synonyms: SB 659032
Immunopharmacology Ligand
Compound class: Synthetic organic
Comment: Lipoprotein-associated phospholipase A2 (Lp-PLA2, PLA2-G7) inhibitors such as rilapladib and darapladib have been evaluated in clinical trials: darapladib for coronary heart disease, and rilapladib for Alzheimer's disease. Compounds of different chemotypes are being explored as tools to further optimise the pharmacological modulation of PLA2-G7 as a target for clinical intervention- see also (S)-23 [PMID: 27933945] (tool compound).
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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

rilapladib is commercially available from our sponsors

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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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 5
Hydrogen bond donors 0
Rotatable bonds 14
Topological polar surface area 80.08
Molecular weight 735.26
XLogP 10.02
No. Lipinski's rules broken 2

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 COCCN1CCC(CC1)N(C(=O)Cn1c(SCc2cccc(c2F)F)cc(=O)c2c1cccc2)Cc1ccc(cc1)c1ccc(cc1)C(F)(F)F
Isomeric SMILES COCCN1CCC(CC1)N(C(=O)Cn1c(SCc2cccc(c2F)F)cc(=O)c2c1cccc2)Cc1ccc(cc1)c1ccc(cc1)C(F)(F)F
InChI InChI=1S/C40H38F5N3O3S/c1-51-22-21-46-19-17-32(18-20-46)47(24-27-9-11-28(12-10-27)29-13-15-31(16-14-29)40(43,44)45)37(50)25-48-35-8-3-2-6-33(35)36(49)23-38(48)52-26-30-5-4-7-34(41)39(30)42/h2-16,23,32H,17-22,24-26H2,1H3
InChI Key NNBGCSGCRSCFEA-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. Davidson JE, Lockhart A, Amos L, Stirnadel-Farrant HA, Mooser V, Sollberger M, Regeniter A, Monsch AU, Irizarry MC. (2012)
Plasma lipoprotein-associated phospholipase A2 activity in Alzheimer's disease, amnestic mild cognitive impairment, and cognitively healthy elderly subjects: a cross-sectional study.
Alzheimers Res Ther, 4 (6): 51. [PMID:23217243]
2. Fitzpatrick AL, Irizarry MC, Cushman M, Jenny NS, Chi GC, Koro C. (2014)
Lipoprotein-associated phospholipase A2 and risk of dementia in the Cardiovascular Health Study.
Atherosclerosis, 235 (2): 384-91. [PMID:24929287]
3. Staurenghi G, Ye L, Magee MH, Danis RP, Wurzelmann J, Adamson P, McLaughlin MM, Darapladib DME Study Group. (2015)
Darapladib, a lipoprotein-associated phospholipase A2 inhibitor, in diabetic macular edema: a 3-month placebo-controlled study.
Ophthalmology, 122 (5): 990-6. [PMID:25749297]
4. Tjoelker LW, Wilder C, Eberhardt C, Stafforini DM, Dietsch G, Schimpf B, Hooper S, Le Trong H, Cousens LS, Zimmerman GA et al.. (1995)
Anti-inflammatory properties of a platelet-activating factor acetylhydrolase.
Nature, 374 (6522): 549-53. [PMID:7700381]
5. Wilensky RL, Macphee CH. (2009)
Lipoprotein-associated phospholipase A(2) and atherosclerosis.
Curr Opin Lipidol, 20 (5): 415-20. [PMID:19667981]