HumDLoc: Human Protein Subcellular Localization Prediction Using Deep Neural Network.

ABSTRACT:

Aims

To develop a tool that can annotate subcellular localization of human proteins.

Background

With the progression of high throughput human proteomics projects, an enormous amount of protein sequence data has been discovered in the recent past. All these raw sequence data require precise mapping and annotation for their respective biological role and functional attributes. The functional characteristics of protein molecules are highly dependent on the subcellular localization/compartment. Therefore, a fully automated and reliable protein subcellular localization prediction system would be very useful for current proteomic research.

Objective

To develop a machine learning-based predictive model that can annotate the subcellular localization of human proteins with hig

SUBMITTER: Semwal R 

PROVIDER: S-EPMC7604748 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature