A method for identifying moonlighting proteins based on linear discriminant analysis and bagging-SVM.

ABSTRACT: Moonlighting proteins have at least two independent functions and are widely found in animals, plants and microorganisms. Moonlighting proteins play important roles in signal transduction, cell growth and movement, tumor inhibition, DNA synthesis and repair, and metabolism of biological macromolecules. Moonlighting proteins are difficult to find through biological experiments, so many researchers identify moonlighting proteins through bioinformatics methods, but their accuracies are relatively low. Therefore, we propose a new method. In this study, we select SVMProt-188D as the feature input, and apply a model combining linear discriminant analysis and basic classifiers in machine learning to study moonlighting proteins, and perform bagging ensemble on the best-performing support vector ma

SUBMITTER: Chen Y 

PROVIDER: S-EPMC9420859 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature