Protein Sequence Classification with LetNet-5 and VGG16

Classification of protein sequences is an important method to predict the structure and function of novel protein sequences. The determination of protein function has a very important role in promoting both disease prevention and drug development. With the continuous development of bioinformatics and the large accumulation of related data, the functional prediction of unknown proteins using scientific computational methods has become an important research topic in bioinformatics in the post-genomic era, so the classification algorithm of protein sequences has also become one of the primary tasks of the current life science research. In this paper, we try to use two classical classification algorithms, LetNet-5 and VGG16, to study the classification problem of protein sequences.