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A General Harness for Protein Foundation Model Fitness Prediction

Tan, Yang et al.
arXiv (All) · Papers
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artificial-intelligencequantitative-methods
Accurate fitness prediction is central to protein engineering and understanding sequence-function relationships. With advances in deep learning, protein foundation models (PFMs) have become widely used for this task. Recent analyses, however, show that these models share preferences reflecting their
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