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Extended Abstract

Targeting Novel Allosteric Sites with Confidence: Methods and Applications †

1
Institut de Biomedicina de la Universitat de Barcelona (IBUB) and Facultat de Farmacia, Universitat de Barcelona, Av. Joan XXIII 27-31, 08028 Barcelona, Spain
2
Catalan Institution for Research and Advanced Studies (ICREA), Passeig Lluis Companys 23, 08010 Barcelona, Spain
3
Gain Therapeutics, Baldiri Reixac 10, Parc Cientific de Barcelona, 08029 Barcelona, Spain
Presented at the 2nd Molecules Medicinal Chemistry Symposium (MMCS): Facing Novel Challenges in Drug Discovery, Barcelona, Spain, 15–17 May 2019.
Proceedings 2019, 22(1), 87; https://doi.org/10.3390/proceedings2019022087
Published: 26 August 2019
Allosteric sites create opportunities to act on novel targets when their orthosteric sites are not druggable. However, they also provide increased selectivity and can modulate their targets in unique ways, such as enzymatic activation or change in protein levels, localization or quaternary structure. The discovery of allosteric modulators has traditionally been serendipitous, resulting from random (often phenotypic) screening and subsequent elucidation of their mechanism of action. Computational tools developed in our group for druggability prediction, binding site mapping, and virtual screening have enabled us to identify and tackle novel allosteric sites with confidence. In this talk, I will give an overview of our approach, which combines molecular dynamics with mixed solvents (MDmix) [1,2,3,4] molecular docking [5] dynamic undocking (DUck) [6,7] and, finally, experimental screening of a shortlist of candidate molecules in low-throughput assays. I will provide examples of successful discovery of allosteric binders, including non-competitive pharmacological chaperones for the treatment of rare diseases.

References

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  5. Ruiz-Carmona, S.; Alvarez-Garcia, D.; Foloppe, N.; Garmendia-Doval, a. B.; Juhos, S.; Schmidtke, P.; Barril, X.; Hubbard, R. E.; Morley, S. D. RDock: A Fast, Versatile and Open Source Program for Docking Ligands to Proteins and Nucleic Acids. PLoS Comput. Biol. 2014, 10, e1003571. [Google Scholar] [CrossRef] [PubMed]
  6. Ruiz-Carmona, S.; Schmidtke, P.; Luque, F. J.; Baker, L.; Matassova, N.; Davis, B.; Roughley, S.; Murray, J.; Hubbard, R.; Barril, X. Dynamic Undocking and the Quasi-Bound State as Tools for Drug Discovery. Nat. Chem. 2017, 9, 201–206. [Google Scholar] [CrossRef] [PubMed]
  7. Majewski, M.; Ruiz-Carmona, S.; Barril, X. Dynamic Undocking: A Novel Method for Structure-Based Drug Discovery. In Rational Drug Design: Methods and Protocols; Mavromoustakos, T., Kellici, T. F., Eds.; Springer New York: New York, NY, USA, 2018; pp. 195–215. [Google Scholar]

Share and Cite

MDPI and ACS Style

Barril, X. Targeting Novel Allosteric Sites with Confidence: Methods and Applications. Proceedings 2019, 22, 87. https://doi.org/10.3390/proceedings2019022087

AMA Style

Barril X. Targeting Novel Allosteric Sites with Confidence: Methods and Applications. Proceedings. 2019; 22(1):87. https://doi.org/10.3390/proceedings2019022087

Chicago/Turabian Style

Barril, Xavier. 2019. "Targeting Novel Allosteric Sites with Confidence: Methods and Applications" Proceedings 22, no. 1: 87. https://doi.org/10.3390/proceedings2019022087

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