Fragment-based virtual screening identifies a first-in-class preclinical drug candidate for Huntington's disease
- PMID: 36385140
- PMCID: PMC9668931
- DOI: 10.1038/s41598-022-21900-2
Fragment-based virtual screening identifies a first-in-class preclinical drug candidate for Huntington's disease
Abstract
Currently, there are no therapies available to modify the disease progression of Huntington's disease (HD). Recent clinical trial failures of antisense oligonucleotide candidates in HD have demonstrated the need for new therapeutic approaches. Here, we developed a novel in-silico fragment scanning approach across the surface of mutant huntingtin (mHTT) polyQ and predicted four hit compounds. Two rounds of compound analoging using a strategy of testing structurally similar compounds in an affinity assay rapidly identified GLYN122. In vitro, GLYN122 directly binds and reduces mHTT and induces autophagy in neurons. In vivo, our results confirm that GLYN122 can reduce mHTT in the cortex and striatum of the R/2 mouse model of Huntington's disease and subsequently improve motor symptoms. Thus, the in-vivo pharmacology profile of GLYN122 is a potential new preclinical candidate for the treatment of HD.
© 2022. The Author(s).
Conflict of interest statement
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. SME is the Chief Executive Officer (CEO) of Galyan Bio, Inc. CYE is a professor at ETH Zurich but also a co-founder and shareholder of Avea Life AG, and is on the Scientific Advisory Board of Maximon AG and Galyan Bio, Inc. KL is Managing Director of Bicoll GmbH and Director and General Manager of Bicoll Biotechnology (Shanghai) Co. Ltd. All other authors do not have any conflicts of interest to declare.
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