Accurate ΔTm Prediction Without Protein Structure Inputs for Biomolecular Stability
It is shown that accurate ΔTm prediction does not require structural input features, but can achieve state-of-the-art results with a careful training design for large sequence-based protein language models, and choices such as loss function, pooling strategy, auxiliary supervision, and finetuning regime materially affect performance.