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Researchers from the Tokyo Institute of Technology Introduce ProtHyena: A Fast and Efficient Foundation Protein Language Model at Single Amino Acid Resolution
MarkTechPost www.marktechpost.com
Proteins are essential for various cellular functions, providing vital amino acids for humans. Understanding proteins is crucial for human biology and health, requiring advanced machine-learning models for protein representation. Self-supervised pre-training, inspired by natural language processing, has significantly improved protein sequence representation. However, existing models need help handling longer sequences and maintaining contextual understanding. Strategies […]
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