Abstract
<jats:p>Membrane proteins engage in dynamic transient interactions with surrounding lipids along with their substrates. Capturing these concomitant contacts often remains a challenging problem. Here, we demonstrate that generative deep learning-designed WRAP domains can preserve weak interactions of membrane protein complexes in native mass spectrometry. Using WRAP-fused GlpG, AqpM, and OmpA as model systems, we show that lipid interactions can be retained and characterized without detergent micelles. We use the approach to show that WRAP-OmpA selectively binds phosphatidylethanolamine lipids within cavities formed at the protein-WRAP interface, while simultaneously accommodating weak chitobiose ligand binding. These findings establish WRAPs as versatile vehicles to probe ligand and lipid interactions of membrane proteins.</jats:p>