A multitask transfer learning framework for the prediction of virus-human protein--protein interactions
BMC Bioinformatics 22 (1): 572 (2021)
Abstract
Viral infections are causing significant morbidity and mortality worldwide. Understanding the interaction patterns between a particular virus and human proteins plays a crucial role in unveiling the underlying mechanism of viral infection and pathogenesis. This could further help in prevention and treatment of virus-related diseases. However, the task of predicting protein--protein interactions between a new virus and human cells is extremely challenging due to scarce data on virus-human interactions and fast mutation rates of most viruses.
Links and resources
- DOI:
- 10.1186/s12859-021-04484-y
- URL:
- https://doi.org/10.1186/s12859-021-04484-y
- BibTeX key:
- dong21
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