PMLPR: A novel method for predicting subcellular localization based on recommender systems.

ABSTRACT: The importance of protein subcellular localization problem is due to the importance of protein's functions in different cell parts. Moreover, prediction of subcellular locations helps to identify the potential molecular targets for drugs and has an important role in genome annotation. Most of the existing prediction methods assign only one location for each protein. But, since some proteins move between different subcellular locations, they can have multiple locations. In recent years, some multiple location predictors have been introduced. However, their performances are not accurate enough and there is much room for improvement. In this paper, we introduced a method, PMLPR, to predict locations for a protein. PMLPR predicts a list of locations for each protein based on recommender system

SUBMITTER: Mirzaei Mehrabad E 

PROVIDER: S-EPMC6089892 | biostudies-literature | 2018 Aug

REPOSITORIES: biostudies-literature