Name
Title | ||
|---|---|---|
Dynamically dysfunctional protein interactions in the development of Alzheimer's disease |
Abstract | ||
|---|---|---|
Alzheimer's disease usually causes dementia in the old people and the symptom progression of the disease phenotype displays certain patterns. One possible reason is that the nerve cells in the brains of the patients degenerate at different stages. Here, we analyze the dynamics of disease progression based on its biomolecular network. We develop a novel computational method to integrate an ensemble protein network and the hippocampal gene expression data. Specifically, we construct the induced dynamical pathways which present particular characteristics at different disease stages from the control to disease samples. Based on the network-based method, we reveal that the active pathways tend to be more complicated during the development of disease. Also we find that the disease proteins performing important functions are always located in the cooperations of the identified pathways. These results also demonstrate that the network-based analysis can provide knowledge and evidences on the dynamics and pathological pathways of the complex Alzheimer's disease. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/ICSMC.2009.5346814 | SMC |
Keywords | Field | DocType |
biomolecular network-based analysis,alzheimer,dynamically dysfunctional protein-protein interactions,disease protein function,s disease,cellular biophysics,medical disorders,diseases,neurophysiology,hippocampal gene expression data,genetics,dynamics,disease phenotype progression,differential gene,proteins,molecular biophysics,protein-protein interaction,nerve cells,alzheimer's disease development,brain,systems biology,alzheimer's disease,pathological pathways,dysfunctional pathway,bioinformatics,neurodegenerative disorder,dementia,protein protein interaction,system biology | Disease stages,Neuroscience,Protein–protein interaction,Computer science,Dysfunctional family,Disease progression,Artificial intelligence,Disease,Phenotype,Nerve cells,Bioinformatics,Machine learning,Dementia | Conference |
ISSN | ISBN | Citations |
1062-922X E-ISBN : 978-1-4244-2794-9 | 978-1-4244-2794-9 | 3 |
PageRank | References | Authors |
0.78 | 10 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhi-Ping Liu | 1 | 100 | 8.99 |
| Yong Wang | 2 | 575 | 46.58 |
| Tieqiao Wen | 3 | 22 | 2.63 |
| Xiang-Sun Zhang | 4 | 1016 | 77.06 |
| Weiming Xia | 5 | 30 | 2.72 |
| Luonan Chen | 6 | 1485 | 145.71 |