XL888   Click here for help

GtoPdb Ligand ID: 13794

Synonyms: compound 12i [PMID: 22877636] | XL-888
Compound class: Synthetic organic
Comment: XL888 is an inhibitor of the molecular chaperone and oncology drug target HSP90 [1]. Mechanistically XL888 reduces interactions with HSP90 client proteins, many of which are involved in signalling pathways that promote tumour cell growth and/or survival. A bioRxiv preprint reports on a machine learning approach that was used to identify XL888 for potential anti-tumour activity against glioblastoma multiforme (GBM) stem cell lines [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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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 8
Hydrogen bond donors 3
Rotatable bonds 10
Topological polar surface area 116.89
Molecular weight 503.64
XLogP 2.5
No. Lipinski's rules broken 1

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 CC[C@@H](C)NC1=CC(=C(C)C=C1C(=O)N)C(=O)NC2CC3CCC(C2)N3C4=CC=C(C=N4)C(=O)C5CC5
Isomeric SMILES CC[C@@H](C)NC1=C(C=C(C(=C1)C(=O)NC2CC3CCC(C2)N3C4=NC=C(C=C4)C(=O)C5CC5)C)C(=O)N
InChI InChI=1S/C29H37N5O3/c1-4-17(3)32-25-14-23(16(2)11-24(25)28(30)36)29(37)33-20-12-21-8-9-22(13-20)34(21)26-10-7-19(15-31-26)27(35)18-5-6-18/h7,10-11,14-15,17-18,20-22,32H,4-6,8-9,12-13H2,1-3H3,(H2,30,36)(H,33,37)/t17-,20?,21?,22?/m1/s1
InChI Key LHGWWAFKVCIILM-LAQKFSSHSA-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. Bussenius J, Blazey CM, Aay N, Anand NK, Arcalas A, Baik T, Bowles OJ, Buhr CA, Costanzo S, Curtis JK et al.. (2012)
Discovery of XL888: a novel tropane-derived small molecule inhibitor of HSP90.
Bioorg Med Chem Lett, 22 (17): 5396-404. [PMID:22877636]
2. Smer-Barreto V, Elliott RJR, Dawson JC, Lorente-Macía A, Unciti-Broceta A, Oyarzún DA, Carragher NO. (2025)
Identification of drug candidates against glioblastoma with machine learning and high-throughput screening of heterogeneous cellular models.
biorxiv, Preprint. DOI: 10.1101/2025.03.06.641926