%0 Journal Article %1 dong21 %A Dong, Ngan Thi %A Brogden, Graham %A Gerold, Gisa %A Khosla, Megha %D 2021 %J BMC Bioinformatics %K l3s leibnizailab myown %N 1 %P 572 %R 10.1186/s12859-021-04484-y %T A multitask transfer learning framework for the prediction of virus-human protein--protein interactions %U https://doi.org/10.1186/s12859-021-04484-y %V 22 %X 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.

@article{dong21, 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.}, added-at = {2021-11-27T14:35:20.000+0100}, author = {Dong, Ngan Thi and Brogden, Graham and Gerold, Gisa and Khosla, Megha}, bdsk-url-1 = {https://doi.org/10.1186/s12859-021-04484-y}, bdsk-url-2 = {http://dx.doi.org/10.1186/s12859-021-04484-y}, biburl = {https://www.bibsonomy.org/bibtex/2d4f161f60ff96155393c227a8b40e2cf/khosla}, da = {2021/11/27}, date-added = {2021-11-27 13:34:46 +0000}, date-modified = {2021-11-27 13:34:46 +0000}, doi = {10.1186/s12859-021-04484-y}, id = {Dong2021}, interhash = {54a1acff21ab3f0afc3b305d9ba60610}, intrahash = {d4f161f60ff96155393c227a8b40e2cf}, journal = {BMC Bioinformatics}, keywords = {l3s leibnizailab myown}, number = 1, pages = 572, timestamp = {2021-11-27T14:36:19.000+0100}, title = {A multitask transfer learning framework for the prediction of virus-human protein--protein interactions}, ty = {JOUR}, url = {https://doi.org/10.1186/s12859-021-04484-y}, volume = 22, year = 2021 }