Abstract
X-ray crystallographic fragment screening is a powerful strategy in modern drug discovery, enabling the identification of small-molecule starting points for rational hit-to-lead optimization. While highly effective for soluble proteins, its application to membrane proteins remains challenging due to low expression yields, high hydrophobicity, and the complexities of crystallization—particularly when using lipid cubic phase (LCP), which is often essential for high-resolution structural studies of targets like G-protein-coupled receptors (GPCRs). In this study, we present a methodology that integrates high-throughput X-ray crystallography with computational modeling and complementary biophysical validation to overcome these barriers. Using a thermostabilized human adenosine A2A receptor crystallized in LCP as a test system, we screened 568 fragments and identified 23 initial hits. The work represents the first large-scale fragment screening effort targeting crystals of a membrane protein grown in LCP. Structure-guided virtual screening of these hits led to the design of 109 follow-up compounds, of which 56 yielded crystal structures. Of these, 19 were additionally confirmed to bind by grating-coupled interferometry (GCI), providing complementary biophysical validation. Our results demonstrated the feasibility and effectiveness of this integrated approach for fragment-based drug discovery on membrane proteins crystallized in LCP. Moreover, the detection of ligands at a previously uncharacterized intracellular pocket in a GPCR highlights the potential of this strategy to accelerate the discovery of therapeutically relevant compounds for challenging drug targets.
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Acknowledgements
We thank the scientists at the Swiss Light Source X10SA-PXII beamline and crystallization facility for their assistance and support. We also thank the scientists at ESRF for the support at beamline ID30B. We are grateful to Gerd Neuder for providing the source code for fconv and DrugScoreX. We also thank Kate Smith for discussion on software development. We thank Timothy Sharpe for his valuable advice and suggestions on the biophysical aspects of this manuscript. We also would like to thank Idorsia Pharmaceuticals Ltd, Switzerland and in particular Oliver Peter, Aengus Mac Sweeney, and Geoffroy Bourquin for providing the fragment screening library. A.M. acknowledges support from the BNF National Qualification Programme (Project 5464, DFE 381 014).
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Huang, CY., Cheng, R., Metz, A. et al. An integrated experimental and computational pipeline for crystallographic fragment screening of membrane protein in the lipid cubic phase. Commun Chem (2026). https://doi.org/10.1038/s42004-026-02059-7
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DOI: https://doi.org/10.1038/s42004-026-02059-7


