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Protein Networks

Protein Networks

An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...

Protein Networks

Protein Networks

Infection

Infection

When a pathogen enters the body and reproduces, it can cause an infection, damage body cells, and cause illness symptoms that eventually lead to disease. Therefore, its prevention requires breaking the chain of infection.
The chain begins with pathogens: bacteria, viruses, fungi, prions, or parasites such as protozoa helminths. These can be present on the skin as transient or resident flora, or they can be acquired from the environment. Identifying and treating the type of infection and...

Intracellular Movement of Viruses and Bacteria

Intracellular Movement of Viruses and Bacteria

Intracellular bacteria and viruses often comprise a group of highly infectious pathogens that can cause several diseases. Bacterial pathogens include those belonging to the genus Rickettsia responsible for conditions such as rocky mountain spotted fever and the Mediterranean spotted fever; Chlamydia, a genus responsible for a sexually transmitted disease; Coxiella burnetii, an agent responsible for Q fever. Viral pathogens include vaccinia—a poxvirus, and herpes simplex virus—a...

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Related Experiment Video

Updated: Jan 9, 2026

A Comparative Approach to Characterize the Landscape of Host-Pathogen Protein-Protein Interactions

A Comparative Approach to Characterize the Landscape of Host-Pathogen Protein-Protein Interactions

Published on: July 18, 2013

Hyperbolic Graph Embeddings Reveal the Host-Pathogen Interactome.

Xiaoqiong Xia, Cesar de la Fuente-Nunez

|December 3, 2025

Summary

This summary is machine-generated.

We developed ApexPPI, an AI framework using hyperbolic geometry to map protein interactions between hosts and pathogens. This method accurately predicts thousands of vital interactions, aiding in the discovery of new treatments for infections.

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Last Updated: Jan 9, 2026

A Comparative Approach to Characterize the Landscape of Host-Pathogen Protein-Protein Interactions

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Published on: July 18, 2013

High-Throughput Transcriptome Analysis for Investigating Host-Pathogen Interactions

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Published on: April 5, 2024

Area of Science:

Computational biology
Artificial intelligence in medicine
Network biology

Background:

Pathogen-host protein interactions are crucial for infections but difficult to map.
Biological networks often exhibit hierarchical, scale-free structures.

Purpose of the Study:

To develop an advanced deep learning framework, ApexPPI, for comprehensive mapping of host-pathogen protein interactions.
To leverage hyperbolic geometry to represent complex biological networks.

Main Methods:

Developed ApexPPI, a deep learning framework using multi-task hyperbolic graph neural networks.
Integrated multimodal biological data including protein sequences, gene perturbation experiments, and interaction networks.
Mapped protein features into hyperbolic space to improve interaction prediction accuracy.

Main Results:

ApexPPI achieved significantly higher accuracy in predicting host-pathogen interactions compared to previous methods.
Identified thousands of high-confidence protein-protein interactions, including those involving human G-protein-coupled receptors (GPCRs).
Validated predicted complexes using AlphaFold 3 structural modeling.

Conclusions:

The developed hyperbolic deep learning approach effectively maps complex host-pathogen protein interactions.
ApexPPI provides a valuable resource for identifying therapeutic targets and understanding infection mechanisms.
Highlights the potential of advanced AI in unraveling intricate biological systems.