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1.
Proteins ; 92(7): 819-829, 2024 Jul.
Article in English | MEDLINE | ID: mdl-38337153

ABSTRACT

Proteolysis Targeting Chimeras (PROTACs) are an emerging therapeutic modality and chemical biology tools for Targeted Protein Degradation (TPD). PROTACs contain a ligand targeting the protein of interest, a ligand recruiting an E3 ligase and a linker connecting these two ligands. There are over 600 E3 ligases known so far, but only a handful have been exploited for TPD applications. A key reason for this is the scarcity of ligands binding various E3 ligases and the paucity of structural data available, which complicates ligand design across the family. In this study, we aim to progress PROTAC discovery by proposing a shortlist of E3 ligases that can be prioritized for covalent targeting by performing systematic structural ligandability analysis on a chemoproteomic dataset of potentially reactive cysteines across hundreds of E3 ligases. One of the goals of this study is to apply AlphaFold (AF) models for ligandability evaluations, as for a vast majority of these ligases an experimental structure is not available in the protein data bank (PDB). Using a combination of pocket features, AF model quality and additional aspects, we propose a shortlist of E3 ligases and corresponding cysteines that can be prioritized to potentially discover covalent ligands and expand the PROTAC toolbox.


Subject(s)
Cysteine , Protein Binding , Proteolysis , Ubiquitin-Protein Ligases , Ubiquitin-Protein Ligases/chemistry , Ubiquitin-Protein Ligases/metabolism , Ligands , Cysteine/chemistry , Cysteine/metabolism , Humans , Models, Molecular , Binding Sites , Databases, Protein
2.
Trends Pharmacol Sci ; 42(11): 912-928, 2021 11.
Article in English | MEDLINE | ID: mdl-34521537

ABSTRACT

The chemokine system, comprising 48 chemokines and 23 receptors, is critically involved in several hallmarks of cancer. Yet, despite extensive efforts from the pharmaceutical sector, only two drugs aimed at this system are currently approved for clinical use against cancer. To date, numerous pharmacological approaches have been developed to successfully intervene at different stages of chemokine function: (i) chemokine availability; (ii) chemokine-glycosaminoglycan binding; and (iii) chemokine receptor binding. Many of these strategies have been tested in preclinical cancer models, and some have advanced to clinical trials as potential anticancer therapies. Here we will review the strategies and growing pharmacological toolbox for manipulating the chemokine system in cancer, and address novel methods poised for future (pre)clinical testing.


Subject(s)
Chemokines , Receptors, Chemokine , Chemokines/metabolism , Glycosaminoglycans/metabolism , Humans , Protein Binding , Receptors, Chemokine/metabolism , Signal Transduction
3.
Eur J Med Chem ; 220: 113354, 2021 Aug 05.
Article in English | MEDLINE | ID: mdl-33915369

ABSTRACT

We report the development and extensive structure-activity relationship evaluation of a series of modified coumarins as cannabinoid receptor ligands. In radioligand, and [35S]GTPγS binding assays the CB receptor binding affinities and efficacies of the new ligands were determined. Furthermore, we used a ligand-based docking approach to validate the empirical observed results. In conclusion, several crucial structural requirements were identified. The most potent coumarins like 3-butyl-7-(1-butylcyclopentyl)-5-hydroxy-2H-chromen-2-one (36b, Ki CB2 13.7 nM, EC50 18 nM), 7-(1-butylcyclohexyl)-5-hydroxy-3-propyl-2H-chromen-2-one (39b, Ki CB2 6.5 nM, EC50 4.51 nM) showed a CB2 selective agonistic profile with low nanomolar affinities.


Subject(s)
Cannabinoid Receptor Agonists/pharmacology , Coumarins/pharmacology , Receptors, Cannabinoid/metabolism , Animals , CHO Cells , Cannabinoid Receptor Agonists/chemical synthesis , Cannabinoid Receptor Agonists/chemistry , Cells, Cultured , Coumarins/chemical synthesis , Coumarins/chemistry , Cricetulus , Dose-Response Relationship, Drug , Humans , Molecular Docking Simulation , Molecular Structure , Structure-Activity Relationship
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