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Improving Antifreeze Proteins Prediction with Protein Language Models and Hybrid Feature Extraction Networks

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Accurate identification of antifreeze proteins (AFPs) is crucial in developing biomimetic synthetic anti-icing materials and low-temperature organ preservation materials. Although numerous machine learning-based methods have been proposed for AFPs prediction, ... ...