Identification of new disease genes from protein–protein interaction network
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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.
KeywordsCandidate genes Genetics Novel genes Protein–protein interaction
The work by V. Sugumaran has been supported by a 2018 School of Business Administration Spring/Summer Research Fellowship from Oakland University.
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