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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.
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Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease

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TPD: a web tool for tipping-point detection based on dynamic network biomarker.

Pei Chen¹, Jiayuan Zhong², Kun Yang³

¹School of Mathematics, South China University of Technology, Guangzhou 510640, China.

Briefings in Bioinformatics

|September 11, 2022

Summary

This study introduces the Tipping Point Detector (TPD), a web tool for identifying critical transitions in biological systems using omics data. TPD aids in predictive medicine by pinpointing key molecules and networks driving these biological tipping points.

Keywords:

critical transition dynamic network biomarker leading network tipping-point detection web tool

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Area of Science:

Systems biology
Computational biology
Genomics

Background:

Biological processes often exhibit tipping points or critical transitions.
Detecting these tipping points from omics data is crucial for advancing predictive and preventive medicine.

Purpose of the Study:

To present the Tipping Point Detector (TPD), a web tool for identifying tipping points in biological systems.
To detect leading molecules or networks associated with critical transitions using omics data.

Main Methods:

Utilizes the theoretical framework of dynamic network biomarker (DNB).
Employs computational methods for DNB detection from high-dimensional time series or stage course omics data.
Provides multifarious visualized results, including statistical significance, key genes, network dynamics, and survival analysis.

Main Results:

The TPD tool successfully detects potential tipping points and critical states from omics data.
Identifies key genes, their biological functions, and the dynamic network driving transitions.
Offers survival analysis based on DNB scores to identify 'dark' genes.

Conclusions:

TPD is a valuable web tool for analyzing biological dynamic processes and identifying critical transitions.
Facilitates a deeper understanding of the molecular mechanisms underlying biological tipping points.
Supports applications in predictive medicine through the analysis of omics data.