Inferrng protein-protein interactions using interaction network topologies
| Autor: | Mark Gerstein, Haiyuan Yu, Alberto Paccanaro, Valery Trifonov |
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| Rok vydání: | 2006 |
| Předmět: |
Physics
Quantitative Biology::Biomolecules Quantitative Biology::Molecular Networks Molecular biophysics Bioinformatics Network topology Protein–protein interaction Quantitative Biology::Subcellular Processes Pair wise Interaction network Diffusion (business) Biological system Topology (chemistry) Macromolecule |
| Zdroj: | Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.. |
| DOI: | 10.1109/ijcnn.2005.1555823 |
| Popis: | We describe two novel methods for predicting protein interactions, using only the topology of an observed protein interaction network. The first method searches the protein interaction network for defective cliques (i.e. nearly complete complexes of pair wise interacting proteins), and predicts the interactions that complete them. The second method computes the diffusion distance between each pair of proteins and then infers an interaction when such distance is below a given threshold. We show that both methods have a good predictive performance and compare their results. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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