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Open access Jul 2026

Machine learning guided cell-free expression maps the biochemical landscape of carbonic anhydrase

This work demonstrates that integrating cell-free enzyme engineering with machine learning enables opportunities for high-throughput experimental measurements to benchmark and improve protein language models, accelerate design loops, and expand functional exploration within protein families where experimental information is limited.

J. Lazar, Evan Komp, I. Martínez et al. · 1 citation