Integrative approach for detecting membrane proteins.

ABSTRACT:

Background

Membrane proteins are key gates that control various vital cellular functions. Membrane proteins are often detected using transmembrane topology prediction tools. While transmembrane topology prediction tools can detect integral membrane proteins, they do not address surface-bound proteins. In this study, we focused on finding the best techniques for distinguishing all types of membrane proteins.

Results

This research first demonstrates the shortcomings of merely using transmembrane topology prediction tools to detect all types of membrane proteins. Then, the performance of various feature extraction techniques in combination with different machine learning algorithms was explored. The experimental results obtained by cross-validation and independent testing sugge

SUBMITTER: Alballa M 

PROVIDER: S-EPMC7751106 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature