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<p>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 &gt;200 LanMs with stronger selectivity against low-value La<sup>III</sup> relative to the prototypical LanM. This includes a LanM that can perform a challenging one-stage separation of Pr<sup>III</sup> from La<sup>III</sup> with up to &gt;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.</p><p></p>

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A family portrait of lanmodulin selectivity for enhanced rare-earth separations

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年3月18日

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  • Patrick Diep,
  • Cody S. Madsen,
  • Wonseok Choi,
  • Ziye Dong,
  • Christina S. Kang-Yun,
  • Patricia F. V. Uychoco,
  • Jeremy A. Seidel,
  • Samuel A. Eaton,
  • Yongqin Jiao,
  • Joseph A. Cotruvo Jr,
  • Dan M. Park

摘要

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.