Patrick Diep, Cody S. Madsen, Wonseok Choi, Ziye Dong, Christina S. Kang-Yun, Patricia F.V. Uychoco, Jeremy Seidel, Samuel A. Eaton, Yongqin Jiao, Joseph A. Cotruvo, D M Park
Proteins offer a molecular design space to create bespoke ligands for the separation of critical metals like rare earth elements (REs). However, data-intensive approaches to tune metalloprotein selectivity are constrained by the low-throughput nature of existing characterization methods. Here we invented an assay called ‘SpyTag-Catcher Immobilization of Lanmodulin for Assaying Metal-Binding Selectivity’ (SpyCI-LAMBS) to measure metalloprotein selectivity en masse. This 96-format workflow was used to study the selectivity of 621 lanmodulin (LanM) orthologs for 15 REs, revealing eight distinct selectivity profiles based on sequence-to-function analyses. We discovered >200 LanMs with stronger selectivity against low-value LaIII relative to the prototypical LanM. This includes a LanM that can perform a challenging one-stage separation of PrIII from LaIII with up to >99.9 mol% purity and 83% yield. SpyCI-LAMBS is a powerful tool that can rapidly collect high-fidelity selectivity data to inform metal ion separations and machine-learning-assisted metalloprotein design. Proteins are promising ligands for selective metal capture, but low-throughput assays limit their discovery and design. Now, a high-throughput platform for quantifying the rare earth selectivity of lanmodulin (LanM) proteins has been developed. The SpyCI-LAMBS platform enabled the identification of a set of LanMs capable of separating light rare-earth elements in a single step.