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Updated: Jul 5, 2026
10:27
Testing Targeted Therapies in Cancer using Structural DNA Alteration Analysis and Patient-Derived Xenografts
Published on: July 25, 2020
Targeting the human cancer pathway protein interaction network by structural genomics
Yuanpeng Janet Huang1, Dehua Hang, Long Jason Lu
1Department of Molecular Biology and Biochemistry, Center for Advanced Biotechnology and Medicine, Rutgers University, Piscataway, New Jersey 08854, USA.
Molecular & Cellular Proteomics : MCP
|May 20, 2008
Summary
Structural genomics advances cancer systems biology by creating the Human Cancer Pathway Protein Interaction Network (HCPIN). This network reveals key cancer proteins and guides structural genomics efforts for better understanding cancer biology.
Area of Science:
- Structural biology
- Systems biology
- Cancer biology
Background:
- Structural genomics is crucial for understanding biological systems.
- Integrating protein 3D structural data into cancer systems biology is essential.
- Protein-protein interactions form complex networks in cancer signaling.
Purpose of the Study:
- To construct a Human Cancer Pathway Protein Interaction Network (HCPIN).
- To identify key cancer-associated proteins (hubs and bottlenecks) within these networks.
- To assess the structural coverage of proteins within the HCPIN for future research.
Main Methods:
- Analysis of classical cancer-associated signaling pathways and their protein-protein interactions.
- Construction of the Human Cancer Pathway Protein Interaction Network (HCPIN).
- Evaluation of sequence segments for homology modeling using Basic Local Alignment Search Tool (BLAST) and assessment of structural coverage.
Main Results:
- The HCPIN integrates multiple cancer signaling pathways and highlights central proteins.
- Many proteins in the HCPIN are involved in multiple signaling pathways.
- A significant portion of HCPIN protein residues lack sufficient structural coverage, indicating a need for further structure determination.
Conclusions:
- The HCPIN provides a valuable resource for cancer systems biology research.
- The network-based target selection (BioNet) approach is effective for structural genomics projects.
- Further structural determination of HCPIN proteins will enhance our understanding of cancer biology and protein function.
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