Computational Network Inference for Bacterial Interactomics

Overview

Journal mSystems

Publisher American Society for Microbiology

Specialty Microbiology

Date 2022 Mar 30

PMID 35353009

Authors

Katherine James

Jose Munoz-Munoz

Affiliations

Soon will be listed here.

Abstract

Since the large-scale experimental characterization of protein-protein interactions (PPIs) is not possible for all species, several computational PPI prediction methods have been developed that harness existing data from other species. While PPI network prediction has been extensively used in eukaryotes, microbial network inference has lagged behind. However, bacterial interactomes can be built using the same principles and techniques; in fact, several methods are better suited to bacterial genomes. These predicted networks allow systems-level analyses in species that lack experimental interaction data. This review describes the current network inference and analysis techniques and summarizes the use of computationally-predicted microbial interactomes to date.

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