TY - JOUR
T1 - Multi-level integrative analysis of protein-protein interaction networks
T2 - Connecting completeness, depth and robustness
AU - Blayney, Jaine K.
AU - Zheng, Huiru
AU - Wang, Haiying
AU - Azuaje, Francisco
PY - 2010/8
Y1 - 2010/8
N2 - A fully extended Protein-Protein Interaction (PPI) network can consist of upwards of several thousand nodes and edges. To simplify analysis, smaller child samples are often used in substitution of the global network. In this study, the impact of different levels of sampling was evaluated on six PPI networks. Results from the case studies suggest that restricting analysis to the first network level, using metrics such as degree and BC, could lead to misrepresentative results, omitting potentially significant nodes. Fault-tolerance analysis also indicates that key nodes within the second network level, and above, contribute to the stability of the global network.
AB - A fully extended Protein-Protein Interaction (PPI) network can consist of upwards of several thousand nodes and edges. To simplify analysis, smaller child samples are often used in substitution of the global network. In this study, the impact of different levels of sampling was evaluated on six PPI networks. Results from the case studies suggest that restricting analysis to the first network level, using metrics such as degree and BC, could lead to misrepresentative results, omitting potentially significant nodes. Fault-tolerance analysis also indicates that key nodes within the second network level, and above, contribute to the stability of the global network.
KW - Depth
KW - Network analysis
KW - Protein-protein interactions
KW - Sampling
KW - Stability
UR - http://www.scopus.com/inward/record.url?scp=77955441935&partnerID=8YFLogxK
U2 - 10.1504/IJCBDD.2010.034465
DO - 10.1504/IJCBDD.2010.034465
M3 - Article
C2 - 20693609
AN - SCOPUS:77955441935
SN - 1756-0756
VL - 3
SP - 31
EP - 51
JO - International Journal of Computational Biology and Drug Design
JF - International Journal of Computational Biology and Drug Design
IS - 1
ER -