Deep Learning and big data have shown tremendous success in bioinformatics
and computational biology in recent years; artificial intelligence methods have
also significantly contributed in the task of protein function classification.
This review paper analyzes the recent developments in approaches for the task
of predicting protein function using deep learning. We explain the importance
of determining the protein function and why automating the following task is
crucial. Then, after reviewing the widely used deep learning techniques for
this task, we continue our review and highlight the emergence of the modern
State of The Art (SOTA) deep learning models which have achieved groundbreaking
results in the field of computer vision, natural language processing and
multi-modal learning in the last few years. We hope that this review will
provide a broad view of the current role and advances of deep learning in
biological sciences, especially in predicting protein function tasks and
encourage new researchers to contribute to this area.

本篇论文综述了近年来利用深度学习方法在蛋白质功能预测任务领域取得的良好表现，并介绍了现代最先进的深度学习模型对计算机视觉、自然语言处理和多模态学习等领域的重大贡献。同时，文章提出自动化蛋白质功能预测任务的重要性，并希望能够鼓励更多的研究者进行相关领域的探索。