Publications by authors named "Nure Tasnina"
The rapid growth of online social media usage in our daily lives has increased the importance of analyzing the dynamics of online social networks. However, the dynamic data of existing online social media platforms are not readily accessible. Hence, there is a necessity to synthesize networks emulating those of online social media for further study.
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- The study develops a network propagation framework aimed at predicting human proteins that interact with SARS-CoV-2, emphasizing the importance of provenance tracing to understand how input data influences prediction scores.
- The framework includes a method to link each prediction to experimentally validated sources, revealing that top predictions are largely influenced by neighboring proteins in a human interaction network.
- The findings offer new insights into viral infections and suggest potential drug repositioning opportunities, while also highlighting the framework's applicability to other emerging viruses.
Viruses such as the novel coronavirus, SARS-CoV-2, that is wreaking havoc on the world, depend on interactions of its own proteins with those of the human host cells. Relatively small changes in sequence such as between SARS-CoV and SARS-CoV-2 can dramatically change clinical phenotypes of the virus, including transmission rates and severity of the disease. On the other hand, highly dissimilar virus families such as Coronaviridae, Ebola, and HIV have overlap in functions.
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