Predicting Human Protein Subcellular Locations by Using a Combination of Network and Function Features.

ABSTRACT: Given the limitation of technologies, the subcellular localizations of proteins are difficult to identify. Predicting the subcellular localization and the intercellular distribution patterns of proteins in accordance with their specific biological roles, including validated functions, relationships with other proteins, and even their specific sequence characteristics, is necessary. The computational prediction of protein subcellular localizations can be performed on the basis of the sequence and the functional characteristics. In this study, the protein-protein interaction network, functional annotation of proteins and a group of direct proteins with known subcellular localization were used to construct models. To build efficient models, several powerful machine learning algorithms, includ

SUBMITTER: Chen L 

PROVIDER: S-EPMC8603309 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature