Soyemi, Jumoke and Isewon, Itunuoluwa and Oyelade, O. J. and Adebiyi, E. F. (2018) Inter-Species/Host-Parasite Protein Interaction Predictions Reviewed. Current Bioinformatics, 13. pp. 396-406.
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Abstract
Background: Host-parasite protein interactions (HPPI) are those interactions occurring between a parasite and its host. Host-parasite protein interaction enhances the understanding of how parasite can infect its host. The interaction plays an important role in initiating infections, although it is not all host-parasite interactions that result in infection. Identifying the protein-protein interactions (PPIs) that allow a parasite to infect its host has a lot do in discovering possible drug targets. Such PPIs, when altered, would prevent the host from being infected by the parasite and in some cases, result in the parasite inability to complete specific stages of its life cycle and invariably lead to the death of such parasite. It therefore becomes important to understand the workings of host-parasite interactions which are the major causes of most infectious disease
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Host-parasite protein interactions (HPPI), machine learning, Plasmodium falciparum parasite, human host, computational methods, Inter-species protein interaction predictions. |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science |
| Depositing User: | Mrs Patricia Nwokealisi |
| Date Deposited: | 12 Mar 2019 14:38 |
| Last Modified: | 12 Mar 2019 14:38 |
| URI: | http://eprints.covenantuniversity.edu.ng/id/eprint/12495 |
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