Improving protein secondary structure prediction by deep language models and transformer networks
Tianqi Wu, Weihang Cheng, Jianlin Jack Cheng
This paper introduces TransPross, a transformer-based model for protein secondary structure prediction that outperforms existing methods by leveraging attention mechanisms and deep learning.
Methods in molecular biology · Nov 22, 2024Peer-reviewedBioinformatics