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Optimizing NMR fragment-based drug screening for membrane protein targets

Authors :
Geoffrey C. Li
Manuel A. Castro
Thilini Ukwaththage
Charles R. Sanders
Source :
Journal of Structural Biology: X, Vol 9, Iss , Pp 100100- (2024)
Publication Year :
2024
Publisher :
Elsevier, 2024.

Abstract

NMR spectroscopy has played a pivotal role in fragment-based drug discovery by coupling detection of weak ligand-target binding with structural mapping of the binding site. Fragment-based screening by NMR has been successfully applied to many soluble protein targets, but only to a limited number of membrane proteins, despite the fact that many drug targets are membrane proteins. This is partly because of difficulties preparing membrane proteins for NMR—especially human membrane proteins—and because of the inherent complexity associated with solution NMR spectroscopy on membrane protein samples, which require the inclusion of membrane-mimetic agents such as micelles, nanodiscs, or bicelles. Here, we developed a generalizable protocol for fragment-based screening of membrane proteins using NMR. We employed two human membrane protein targets, both in fully protonated detergent micelles: the single-pass C-terminal domain of the amyloid precursor protein, C99, and the tetraspan peripheral myelin protein 22 (PMP22). For both we determined the optimal NMR acquisition parameters, protein concentration, protein-to-micelle ratio, and upper limit to the concentration of D6-DMSO in screening samples. Furthermore, we conducted preliminary screens of a plate-format molecular fragment mixture library using our optimized conditions and were able to identify hit compounds that selectively bound to the respective target proteins. It is hoped that the approaches presented here will be useful in complementing existing methods for discovering lead compounds that target membrane proteins.

Details

Language :
English
ISSN :
25901524
Volume :
9
Issue :
100100-
Database :
Directory of Open Access Journals
Journal :
Journal of Structural Biology: X
Publication Type :
Academic Journal
Accession number :
edsdoj.58e477d8954449318196d947b55877a2
Document Type :
article
Full Text :
https://doi.org/10.1016/j.yjsbx.2024.100100