VotePLMs-AFP: Identification of antifreeze proteins using transformer-embedding features and ensemble learning

• Published in: Biochimica et biophysica acta. General subjects Vol. 1868; no. 12; p. 130721
• Main Authors: Qi, Dawei, Liu, Taigang
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier B.V 01.12.2024
• Subjects: Algorithms; Antifreeze proteins; Antifreeze Proteins - chemistry; Computational Biology - methods; Databases, Protein; Ensemble learning; Machine Learning; Protein language models; Soft voting; Ensemble learning; Protein language models; Soft voting; Antifreeze proteins; Machine learning

Antifreeze proteins (AFPs) are a unique class of biomolecules capable of protecting other proteins, cell membranes, and cellular structures within organisms from damage caused by freezing conditions. Given the significance of AFPs in various domains such as biotechnology, agriculture, and medicine,...