Identification of plant vacuole proteins by exploiting deep representation learning features.

ABSTRACT: Plant vacuoles are the most important organelles for plant growth, development, and defense, and they play an important role in many types of stress responses. An important function of vacuole proteins is the transport of various classes of amino acids, ions, sugars, and other molecules. Accurate identification of vacuole proteins is crucial for revealing their biological functions. Several automatic and rapid computational tools have been proposed for the subcellular localization of proteins. Regrettably, they are not specific for the identification of plant vacuole proteins. To the best of our knowledge, there is only one computational software specifically trained for plant vacuolar proteins. Although its accuracy is acceptable, the prediction performance and stability of this method in

SUBMITTER: Jiao S 

PROVIDER: S-EPMC9207291 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature