| publication name | CoreAlign: Core-based Global Alignment for Protein-Protein Interaction Networks |
|---|---|
| Authors | Ahmed El-Sawy-Mahmoud Mousa-Ahmed Hassan-Sammer Kamal |
| year | 2019 |
| keywords | Protein-protein interactions, PPI, network alignment, protein function, network decomposition. |
| journal | International Journal of Computer Applications |
| volume | 178 |
| issue | 53 |
| pages | Not Available |
| publisher | Not Available |
| Local/International | International |
| Paper Link | https://www.ijcaonline.org/archives/volume178/number53/elsawy-2019-ijca-919339.pdf |
| Full paper | download |
| Supplementary materials | Not Available |
Abstract
Biological network alignment aims to find similar functional and topological regions to guide the transfer of biological knowledge of cellular functioning from known, well-studied species to unknown ones. The proposed aligner (CoreAlign) relays on the structural of the Protein-Protein Interactions (PPI) network by using network decomposition of what is called shells or internal network cores. The proposed aligner searches the space of each core to build the Alignment. CoreAlign has been compared with many aligners and it has competitive results among these aligners in either topological or biological measures.