GLOM TGITO: multiscale protein modelling and multiview landscape-guided sequence discovery
Motivation: Offline protein design can exploit surrogate-predictor errors, favouring high-scoring sequences lacking measured support. We test whether multiscale representations and local experimental evidence improve prediction and candidate prioritization. Results: GLOM-TGITO links a global-local fluorescence predictor to multiview landscape-guided optimization. Across 31,434 measured ppluGFP2…
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