ProtPlat: an efficient pre-training platform for protein classification based on FastText.

ABSTRACT:

Background

For the past decades, benefitting from the rapid growth of protein sequence data in public databases, a lot of machine learning methods have been developed to predict physicochemical properties or functions of proteins using amino acid sequence features. However, the prediction performance often suffers from the lack of labeled data. In recent years, pre-training methods have been widely studied to address the small-sample issue in computer vision and natural language processing fields, while specific pre-training techniques for protein sequences are few.

Results

In this paper, we propose a pre-training platform for representing protein sequences, called ProtPlat, which uses the Pfam database to train a three-layer neural network, and then uses specific training d

SUBMITTER: Jin Y 

PROVIDER: S-EPMC8832758 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature