Protein–Protein Interaction Inhibition (2P2I)-Oriented Chemical Library Accelerates Hit DiscoveryClick to copy article linkArticle link copied!
- Sabine Milhas
- Brigitt Raux
- Stéphane Betzi
- Carine Derviaux
- Philippe Roche
- Audrey Restouin
- Marie-Jeanne Basse
- Etienne Rebuffet
- Adrien Lugari
- Marion Badol
- Rudra Kashyap
- Jean-Claude Lissitzky
- Cécilia Eydoux
- Véronique Hamon
- Marie-Edith Gourdel
- Sébastien Combes
- Pascale Zimmermann
- Michel Aurrand-Lions
- Thomas Roux
- Catherine Rogers
- Susanne Müller
- Stefan Knapp
- Eric Trinquet
- Yves Collette
- Jean-Claude Guillemot
- Xavier Morelli
Abstract

Protein–protein interactions (PPIs) represent an enormous source of opportunity for therapeutic intervention. We and others have recently pinpointed key rules that will help in identifying the next generation of innovative drugs to tackle this challenging class of targets within the next decade. We used these rules to design an oriented chemical library corresponding to a set of diverse “PPI-like” modulators with cores identified as privileged structures in therapeutics. In this work, we purchased the resulting 1664 structurally diverse compounds and evaluated them on a series of representative protein–protein interfaces with distinct “druggability” potential using homogeneous time-resolved fluorescence (HTRF) technology. For certain PPI classes, analysis of the hit rates revealed up to 100 enrichment factors compared with nonoriented chemical libraries. This observation correlates with the predicted “druggability” of the targets. A specific focus on selectivity profiles, the three-dimensional (3D) molecular modes of action resolved by X-ray crystallography, and the biological activities of identified hits targeting the well-defined “druggable” bromodomains of the bromo and extraterminal (BET) family are presented as a proof-of-concept. Overall, our present study illustrates the potency of machine learning-based oriented chemical libraries to accelerate the identification of hits targeting PPIs. A generalization of this method to a larger set of compounds will accelerate the discovery of original and potent probes for this challenging class of targets.
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- Laurent Hoffer, Manon Garcia, Raphael Leblanc, Mikael Feracci, Stéphane Betzi, Khaoula Ben Yaala, Avais M. Daulat, Pascale Zimmermann, Philippe Roche, Karine Barral, Xavier Morelli. Discovery of a PDZ Domain Inhibitor Targeting the Syndecan/Syntenin Protein–Protein Interaction: A Semi-Automated “Hit Identification-to-Optimization” Approach. Journal of Medicinal Chemistry 2023, 66
(7)
, 4633-4658. https://doi.org/10.1021/acs.jmedchem.2c01569
- Natesh Singh, Ludovic Chaput, Bruno O. Villoutreix. Fast Rescoring Protocols to Improve the Performance of Structure-Based Virtual Screening Performed on Protein–Protein Interfaces. Journal of Chemical Information and Modeling 2020, 60
(8)
, 3910-3934. https://doi.org/10.1021/acs.jcim.0c00545
- Nicolas Bosc, Christophe Muller, Laurent Hoffer, David Lagorce, Stéphane Bourg, Carine Derviaux, Marie-Edith Gourdel, Jean-Christophe Rain, Thomas W. Miller, Bruno O. Villoutreix, Maria A. Miteva, Pascal Bonnet, Xavier Morelli, Olivier Sperandio, Philippe Roche. Fr-PPIChem: An Academic Compound Library Dedicated to Protein–Protein Interactions. ACS Chemical Biology 2020, 15
(6)
, 1566-1574. https://doi.org/10.1021/acschembio.0c00179
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(4)
, 990-1003. https://doi.org/10.1021/acschembio.9b01023
- Franck Da Silva, Guillaume Bret, Leandro Teixeira, Claudio F. Gonzalez, Didier Rognan. Exhaustive Repertoire of Druggable Cavities at Protein–Protein Interfaces of Known Three-Dimensional Structure. Journal of Medicinal Chemistry 2019, 62
(21)
, 9732-9742. https://doi.org/10.1021/acs.jmedchem.9b01184
- Tuan-Dung Ngo, Sophie Plé, Aline Thomas, Caroline Barette, Antoine Fortuné, Younes Bouzidi, Marie-Odile Fauvarque, Rossimiriam Pereira de Freitas, Flaviane Francisco Hilário, Ina Attrée, Yung-Sing Wong, Eric Faudry. Chimeric Protein–Protein Interface Inhibitors Allow Efficient Inhibition of Type III Secretion Machinery and Pseudomonas aeruginosa Virulence. ACS Infectious Diseases 2019, 5
(11)
, 1843-1854. https://doi.org/10.1021/acsinfecdis.9b00154
- Liang Ouyang, Lan Zhang, Jie Liu, Leilei Fu, Dahong Yao, Yuqian Zhao, Shouyue Zhang, Guan Wang, Gu He, and Bo Liu . Discovery of a Small-Molecule Bromodomain-Containing Protein 4 (BRD4) Inhibitor That Induces AMP-Activated Protein Kinase-Modulated Autophagy-Associated Cell Death in Breast Cancer. Journal of Medicinal Chemistry 2017, 60
(24)
, 9990-10012. https://doi.org/10.1021/acs.jmedchem.7b00275
- Mila Collados Rodríguez, Patrick Maillard, Alexandra Journeaux, Anastassia V. Komarova, Valérie Najburg, Raul-Yusef Sanchez David, Olivier Helynck, Mingzhe Guo, Jin Zhong, Sylvain Baize, Frédéric Tangy, Yves Jacob, Hélène Munier-Lehmann, Eliane F. Meurs. Novel Antiviral Molecules against Ebola Virus Infection. International Journal of Molecular Sciences 2023, 24
(19)
, 14791. https://doi.org/10.3390/ijms241914791
- Vijay Kumar Bhardwaj, Pralay Das, Rituraj Purohit. Integrating microsecond timescale classical and biased molecular dynamics simulations to screen potential molecules for BRD4-BD1. Chaos, Solitons & Fractals 2023, 167 , 113061. https://doi.org/10.1016/j.chaos.2022.113061
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(5)
, 1797-1800. https://doi.org/10.1016/j.ymthe.2022.02.015
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(1)
https://doi.org/10.1038/s41598-021-86616-1
- Jiwon Choi, Jun Seop Yun, Hyeeun Song, Nam Hee Kim, Hyun Sil Kim, Jong In Yook. Exploring the chemical space of protein–protein interaction inhibitors through machine learning. Scientific Reports 2021, 11
(1)
https://doi.org/10.1038/s41598-021-92825-5
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(15)
https://doi.org/10.1128/JVI.00777-21
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(7)
, 1048-1062. https://doi.org/10.1002/cmdc.202000869
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(2)
https://doi.org/10.1002/jev2.12039
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(10)
, 1839-1845. https://doi.org/10.1016/j.drudis.2020.07.017
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(22)
, 151889. https://doi.org/10.1016/j.tetlet.2020.151889
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(1)
, 906-912. https://doi.org/10.1080/14756366.2020.1743282
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(7)
, e0218897. https://doi.org/10.1371/journal.pone.0218897
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(7)
, 1351. https://doi.org/10.3390/molecules24071351
- Jaru Taechalertpaisarn, Rui-Liang Lyu, Maritess Arancillo, Chen-Ming Lin, Zhengyang Jiang, Lisa M. Perez, Thomas R. Ioerger, Kevin Burgess. Design criteria for minimalist mimics of protein–protein interface segments. Organic & Biomolecular Chemistry 2019, 17
(4)
, 908-915. https://doi.org/10.1039/C8OB02901F
- Fergal Duffy, Nikunj Maheshwari, Nicolae-Viorel Buchete, Denis Shields. Computational Opportunities and Challenges in Finding Cyclic Peptide Modulators of Protein–Protein Interactions. 2019, 73-95. https://doi.org/10.1007/978-1-4939-9504-2_5
- Xuemei Jin, Kyungro Lee, Nam Hee Kim, Hyun Sil Kim, Jong In Yook, Jiwon Choi, Kyoung Tai No. Natural products used as a chemical library for protein–protein interaction targeted drug discovery. Journal of Molecular Graphics and Modelling 2018, 79 , 46-58. https://doi.org/10.1016/j.jmgm.2017.10.015
- Wahiba Aouadi, Cécilia Eydoux, Bruno Coutard, Baptiste Martin, Françoise Debart, Jean Jacques Vasseur, Jean Marie Contreras, Christophe Morice, Gilles Quérat, Marie-Louise Jung, Bruno Canard, Jean-Claude Guillemot, Etienne Decroly. Toward the identification of viral cap-methyltransferase inhibitors by fluorescence screening assay. Antiviral Research 2017, 144 , 330-339. https://doi.org/10.1016/j.antiviral.2017.06.021
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