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Protein Language Model Fitness is a Matter of Preference

ICLR 2025 · Probabilistic and scientific modeling › Molecules and proteins · approach: Protein fitness and variant effect prediction · 25 citations (OpenAlex)

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Studies when protein language models succeed or fail at predicting protein fitness, arguing that pLM fitness prediction depends on the preference of the sequence (fitness-related) distribution.

Problem

It is unclear under what conditions protein language models (pLMs) succeed or fail at aiding protein engineering via fitness prediction.

Approach

Frames pLM fitness prediction in terms of a model preference for sequences, aiming to predict the circumstances under which pLMs will succeed; the abstract does not specify the method in detail.

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