In silico prediction of protein-protein interactions in human macrophages
Oussema Souiai (TAGCTAGC), Fatma Guerfali, Slimane Ben Miled,, Christine Brun (TAGCTAGC), Alia Benkahla

TL;DR
This study presents a protocol to infer context-specific protein-protein interaction networks in human macrophages, enhancing understanding of cellular processes during immune responses, especially in infection scenarios.
Contribution
The paper introduces a method to create macrophage-specific PPI networks by integrating datasets and metadata, improving biological relevance over generic interactomes.
Findings
Enriched in experimentally verified interactions
Highlights immune response and apoptosis processes
Reveals host response mechanisms during infection
Abstract
Background: Protein-protein interaction (PPI) network analyses are highly valuable in deciphering and understanding the intricate organisation of cellular functions. Nevertheless, the majority of available protein-protein interaction networks are context-less, i.e. without any reference to the spatial, temporal or physiological conditions in which the interactions may occur. In this work, we are proposing a protocol to infer the most likely protein-protein interaction (PPI) network in human macrophages. Results: We integrated the PPI dataset from the Agile Protein Interaction DataAnalyzer (APID) with different meta-data to infer a contextualized macrophage-specific interactome using a combination of statistical methods. The obtained interactome is enriched in experimentally verified interactions and in proteins involved in macrophage-related biological processes (i.e. immune response…
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