Scaling and democratising structure-based protein function prediction with metagenomic-deepFRI
Bezshapkin, V.; Schymik, F.; Kucharski, P.; Szczerbiak, P.; Wojciechowski, J. W.; SZYDLOWSKI, L. M.; Kosciolek, T.
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High-quality protein structure models have become widely available, offering insights into protein function, yet they remain underutilized. Here, we introduce metagenomic-deepFRI, a framework incorporating structural templates into functional annotation pipelines at speeds comparable to sequence-alignment methods. Notably, structural features improved GO term prediction confidence and Information Content by up to 50%. Applied to metagenomic datasets, the framework achieves nearly 90% annotation coverage, enabling protein function inference without explicit orthology-based transfer.
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