IdentPMP: identification of moonlighting proteins in plants using sequence-based learning models.

ABSTRACT:

Background

A moonlighting protein refers to a protein that can perform two or more functions. Since the current moonlighting protein prediction tools mainly focus on the proteins in animals and microorganisms, and there are differences in the cells and proteins between animals and plants, these may cause the existing tools to predict plant moonlighting proteins inaccurately. Hence, the availability of a benchmark data set and a prediction tool specific for plant moonlighting protein are necessary.

Methods

This study used some protein feature classes from the data set constructed in house to develop a web-based prediction tool. In the beginning, we built a data set about plant protein and reduced redundant sequences. We then performed feature selection, feature normalization

SUBMITTER: Liu X 

PROVIDER: S-EPMC8351581 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature