A stacked ensemble classifier for the discovery of prokaryotic efflux proteins based on sequence information.

ABSTRACT:

Background

Efflux proteins (EPs) are key transporters responsible for expelling antibiotics and other harmful substances from bacterial cells, thus contributing significantly to antimicrobial resistance. As such, the development of a reliable and efficient computational method for identifying EPs in bacteria and archaea is of utmost importance. However, current computational methods for EP identification are limited and suffer from various performance and utility constraints.

Results

This study presents EPDiscovery, a stacking-based ensemble classifier designed to predict prokaryotic EPs directly from their amino acid sequence. EPDiscovery employs the MLP algorithm to integrate the predictions of fifteen baseline classifiers. The test results demonstrated that EPDiscovery ac

SUBMITTER: Wang Q 

PROVIDER: S-EPMC12481998 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature