Identification of new disease genes from protein–protein interaction network
| Autor: | D. Manjula, M. Mohamed Divan Masood, Vijayan Sugumaran |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
0301 basic medicine
Candidate gene General Computer Science Computer science Disease Computational biology Protein protein interaction network Novel gene 03 medical and health sciences 030104 developmental biology Interaction network New disease Identification (biology) Dijkstra's algorithm Gene Organism |
| Zdroj: | Journal of Ambient Intelligence and Humanized Computing. |
| ISSN: | 1868-5145 1868-5137 |
| DOI: | 10.1007/s12652-018-0788-1 |
| Popis: | Human beings are susceptible to diseases caused by a variety of reasons. The causal factors for diseases include microorganisms (viruses and bacteria), environmental factors and largely, genetics. As most diseases are caused by the genes of a particular living organism, it is necessary to analyze the genetic characteristics to treat the disease effectively. The genetics analysis is done in this research using protein–protein interaction network (PPI), which contains information on a gene’s interaction with other genes of a particular living organism. Using the PPI network, new genes for a particular disease can be discovered by applying the shortest path algorithm on the PPI network, given that genes reside next to one another in the network. Consequently, the shortest path algorithm that is executed on the PPI network will retrieve the most similar genes that are related to a particular disease. From the retrieved candidate genes, irrelevant genes are filtered out and the remaining are taken as novel genes. |
| Databáze: | OpenAIRE |
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