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An integrated experimental and computational pipeline for crystallographic fragment screening of membrane protein in the lipid cubic phase
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  • Published: 13 May 2026

An integrated experimental and computational pipeline for crystallographic fragment screening of membrane protein in the lipid cubic phase

  • Chia-Ying Huang  ORCID: orcid.org/0000-0002-7676-02391,
  • Robert Cheng  ORCID: orcid.org/0000-0001-7564-12302,
  • Alexander Metz1 nAff5,
  • Denis Bucher2,
  • Fabio Andres2,
  • Arianna Bacchin2,
  • Hannah Glover  ORCID: orcid.org/0000-0001-6558-88782,
  • Christoph P. Sager  ORCID: orcid.org/0000-0002-1481-95142,
  • Meitian Wang  ORCID: orcid.org/0000-0002-5340-30361,
  • Michel O. Steinmetz  ORCID: orcid.org/0000-0001-6157-36873,4,
  • Michael Hennig  ORCID: orcid.org/0000-0002-1839-23512 &
  • …
  • May Sharpe  ORCID: orcid.org/0000-0002-3880-74381 

Communications Chemistry (2026) Cite this article

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Subjects

  • G protein-coupled receptors
  • High-throughput screening
  • Membrane lipids
  • X-ray crystallography

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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Author notes
  1. Alexander Metz

    Present address: UCB, Braine-l’Alleud, Wallonische Region, Belgien

Authors and Affiliations

  1. PSI Center for Photon Sciences, Villigen PSI, Switzerland

    Chia-Ying Huang, Alexander Metz, Meitian Wang & May Sharpe

  2. leadXpro AG, Park Innovaare, Villigen, Switzerland

    Robert Cheng, Denis Bucher, Fabio Andres, Arianna Bacchin, Hannah Glover, Christoph P. Sager & Michael Hennig

  3. PSI Center for Life Sciences, Villigen PSI, Switzerland

    Michel O. Steinmetz

  4. Biozentrum, University of Basel, Basel, Switzerland

    Michel O. Steinmetz

Authors
  1. Chia-Ying Huang
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  2. Robert Cheng
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  3. Alexander Metz
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  4. Denis Bucher
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  6. Arianna Bacchin
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  7. Hannah Glover
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  8. Christoph P. Sager
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  9. Meitian Wang
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  10. Michel O. Steinmetz
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  11. Michael Hennig
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  12. May Sharpe
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Corresponding author

Correspondence to Chia-Ying Huang.

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The authors declare no competing interests.

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Supplementary information

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SUPPLEMENTAL MATERIAL (download PDF )

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Data Set 1 (download XLS )

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Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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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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  • Received: 05 September 2025

  • Accepted: 28 April 2026

  • Published: 13 May 2026

  • DOI: https://doi.org/10.1038/s42004-026-02059-7

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