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Updated: May 22, 2026
08:01
A Web Tool for Generating High Quality Machine-readable Biological Pathways
Published on: February 8, 2017
WayFindR: investigating feedback in biological pathways
Polina Bombina1, Reginald L McGee Ii2, Jake Reed3
1Department of Biostatistics, Data Science, and Epidemiology, Georgia Cancer Center at Augusta University, Augusta, GA 30912, United States.
NAR Genomics and Bioinformatics
|May 21, 2026
Summary
Biological pathway analysis often misses negative feedback loops. The WayFindR R package converts pathway data into analyzable graphs, revealing these crucial regulatory features for better understanding of cellular networks.
Area of Science:
- Bioinformatics
- Systems Biology
- Computational Biology
Background:
- Understanding biological pathways is crucial for deciphering cellular functions.
- Static pathway diagrams often fail to capture dynamic regulatory mechanisms like feedback loops.
- Negative feedback is essential for biological system stability but is frequently underrepresented in pathway databases.
Purpose of the Study:
- To develop a computational tool for analyzing regulatory features in biological pathways.
- To address the underrepresentation of negative feedback loops in curated pathway data.
- To enable the investigation of feedback regulation in cellular networks.
Main Methods:
- Developed the WayFindR R package to convert pathway data from WikiPathways and KEGG into graph structures using the igraph library.
- Systematically analyzed pathway information from multiple species across both databases.
- Utilized control theory principles to identify and analyze feedback loops, particularly negative ones.
Main Results:
- Found that feedback loops, especially negative ones, are rarely captured in current pathway databases.
- Identified biological and technical challenges contributing to the underrepresentation of feedback mechanisms.
- Demonstrated that WayFindR enables the computational analysis of regulatory features, including feedback loops.
Conclusions:
- There is a significant gap in representing feedback regulation, particularly negative feedback, in biological pathway data.
- Improved data curation and standardized annotations are necessary for a comprehensive understanding of regulatory dynamics.
- The WayFindR package provides a scalable and reproducible method for investigating feedback regulation in cellular networks.
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