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JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
Published on: October 19, 2021
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Construction of Protein Expression Network
Nor Afiqah-Aleng1,2, Zeti-Azura Mohamed-Hussein3,4
1Institute of Systems Biology (INBIOSIS), Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia.
Methods in Molecular Biology (Clifton, N.J.)
|November 12, 2020
Summary
Protein networks, built using protein-protein interactions and expression data, offer insights into biological mechanisms. This study details computational methods and resources for constructing these networks.
Area of Science:
- Bioinformatics
- Computational Biology
- Systems Biology
Background:
- The post-genomic era generates vast biological data.
- Protein networks elucidate molecular mechanisms via protein-protein interactions.
- High-throughput technologies produce extensive datasets.
Purpose of the Study:
- To describe computational methods for constructing protein networks.
- To identify tools and databases for network construction.
Main Methods:
- Utilizing gene expression data for network inference.
- Employing computational approaches to model protein interactions.
Main Results:
- A framework for building protein networks from expression data is presented.
- A curated list of relevant computational tools and databases is provided.
Conclusions:
- Protein network analysis is crucial for interpreting complex biological data.
- The described methods and resources facilitate the study of molecular mechanisms.
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