AI Summary: This paper describes a breakthrough in structural biology: an automated NMR pipeline that can screen hundreds of proteins at once. Traditionally, NMR is slow and labor-intensive, but this system uses AI and robotics to accelerate sample prep and data analysis.
The structural characterization of the vast protein universe is currently limited by the throughput of experimental methods. While AlphaFold has revolutionized structural prediction, experimental validation—especially for dynamic or intrinsically disordered regions—remains a bottleneck. We present an automated, high-throughput Nuclear Magnetic Resonance (NMR) pipeline for the large-scale exploration of protein space. Our platform integrates automated sample preparation, rapid data acquisition, and AI-assisted resonance assignment. We demonstrate its utility by screening hundreds of previously uncharacterized protein domains, providing experimental data on folding, stability, and dynamics. This approach paves the way for a comprehensive, experimentally-grounded map of protein conformational diversity.
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