Predicting subcellular location of protein with evolution information and sequence-based deep learning.
Journal:
BMC bioinformatics
Published Date:
Oct 22, 2021
Abstract
BACKGROUND: Protein subcellular localization prediction plays an important role in biology research. Since traditional methods are laborious and time-consuming, many machine learning-based prediction methods have been proposed. However, most of the proposed methods ignore the evolution information of proteins. In order to improve the prediction accuracy, we present a deep learning-based method to predict protein subcellular locations.