Matches in SemOpenAlex for { <https://semopenalex.org/work/W3192937766> ?p ?o ?g. }
Showing items 1 to 91 of
91
with 100 items per page.
- W3192937766 abstract "Viruses such as SARS-CoV-2 infect the human body by forming interactions between virus proteins and human proteins. However, experimental methods to find protein interactions are inadequate: large scale experiments are noisy, and small scale experiments are slow and expensive. Inspired by the recent successes of deep neural networks, we hypothesize that deep learning methods are well-positioned to aid and augment biological experiments, hoping to help identify more accurate virus-host protein interaction maps. Moreover, computational methods can quickly adapt to predict how virus mutations change protein interactions with the host proteins. We propose DeepVHPPI, a novel deep learning framework combining a self-attention-based transformer architecture and a transfer learning training strategy to predict interactions between human proteins and virus proteins that have novel sequence patterns. We show that our approach outperforms the state-of-the-art methods significantly in predicting Virus-Human protein interactions for SARS-CoV-2, H1N1, and Ebola. In addition, we demonstrate how our framework can be used to predict and interpret the interactions of mutated SARS-CoV-2 Spike protein sequences. Availability: We make all of our data and code available on GitHub https://github.com/QData/DeepVHPPI." @default.
- W3192937766 created "2021-08-16" @default.
- W3192937766 creator A5003077515 @default.
- W3192937766 creator A5016503379 @default.
- W3192937766 creator A5048094604 @default.
- W3192937766 creator A5071517081 @default.
- W3192937766 creator A5075396297 @default.
- W3192937766 date "2021-08-01" @default.
- W3192937766 modified "2023-09-26" @default.
- W3192937766 title "Transfer learning for predicting virus-host protein interactions for novel virus sequences" @default.
- W3192937766 cites W1966354073 @default.
- W3192937766 cites W1977186059 @default.
- W3192937766 cites W1985919127 @default.
- W3192937766 cites W2008840001 @default.
- W3192937766 cites W2037036397 @default.
- W3192937766 cites W2051210555 @default.
- W3192937766 cites W2064675550 @default.
- W3192937766 cites W2075582876 @default.
- W3192937766 cites W2079277579 @default.
- W3192937766 cites W2110852671 @default.
- W3192937766 cites W2113654464 @default.
- W3192937766 cites W2118601386 @default.
- W3192937766 cites W2119583098 @default.
- W3192937766 cites W2126486632 @default.
- W3192937766 cites W2127637605 @default.
- W3192937766 cites W2130832525 @default.
- W3192937766 cites W2150452800 @default.
- W3192937766 cites W2152568394 @default.
- W3192937766 cites W2156269526 @default.
- W3192937766 cites W2161922860 @default.
- W3192937766 cites W2194775991 @default.
- W3192937766 cites W2250539671 @default.
- W3192937766 cites W2272509401 @default.
- W3192937766 cites W2315831910 @default.
- W3192937766 cites W2359716859 @default.
- W3192937766 cites W2618265628 @default.
- W3192937766 cites W2885821429 @default.
- W3192937766 cites W2889498145 @default.
- W3192937766 cites W2890911678 @default.
- W3192937766 cites W2950374603 @default.
- W3192937766 cites W2952317511 @default.
- W3192937766 cites W2956569764 @default.
- W3192937766 cites W2957157683 @default.
- W3192937766 cites W3044070509 @default.
- W3192937766 cites W3048714202 @default.
- W3192937766 doi "https://doi.org/10.1145/3459930.3469527" @default.
- W3192937766 hasPublicationYear "2021" @default.
- W3192937766 type Work @default.
- W3192937766 sameAs 3192937766 @default.
- W3192937766 citedByCount "3" @default.
- W3192937766 countsByYear W31929377662021 @default.
- W3192937766 countsByYear W31929377662023 @default.
- W3192937766 crossrefType "proceedings-article" @default.
- W3192937766 hasAuthorship W3192937766A5003077515 @default.
- W3192937766 hasAuthorship W3192937766A5016503379 @default.
- W3192937766 hasAuthorship W3192937766A5048094604 @default.
- W3192937766 hasAuthorship W3192937766A5071517081 @default.
- W3192937766 hasAuthorship W3192937766A5075396297 @default.
- W3192937766 hasConcept C126831891 @default.
- W3192937766 hasConcept C150899416 @default.
- W3192937766 hasConcept C154945302 @default.
- W3192937766 hasConcept C159047783 @default.
- W3192937766 hasConcept C2522874641 @default.
- W3192937766 hasConcept C41008148 @default.
- W3192937766 hasConcept C54355233 @default.
- W3192937766 hasConcept C86803240 @default.
- W3192937766 hasConceptScore W3192937766C126831891 @default.
- W3192937766 hasConceptScore W3192937766C150899416 @default.
- W3192937766 hasConceptScore W3192937766C154945302 @default.
- W3192937766 hasConceptScore W3192937766C159047783 @default.
- W3192937766 hasConceptScore W3192937766C2522874641 @default.
- W3192937766 hasConceptScore W3192937766C41008148 @default.
- W3192937766 hasConceptScore W3192937766C54355233 @default.
- W3192937766 hasConceptScore W3192937766C86803240 @default.
- W3192937766 hasLocation W31929377661 @default.
- W3192937766 hasOpenAccess W3192937766 @default.
- W3192937766 hasPrimaryLocation W31929377661 @default.
- W3192937766 hasRelatedWork W1987689495 @default.
- W3192937766 hasRelatedWork W2016551366 @default.
- W3192937766 hasRelatedWork W2121676840 @default.
- W3192937766 hasRelatedWork W2123163123 @default.
- W3192937766 hasRelatedWork W2138564085 @default.
- W3192937766 hasRelatedWork W2142062823 @default.
- W3192937766 hasRelatedWork W2188759708 @default.
- W3192937766 hasRelatedWork W2400613564 @default.
- W3192937766 hasRelatedWork W2406270448 @default.
- W3192937766 hasRelatedWork W4240433125 @default.
- W3192937766 isParatext "false" @default.
- W3192937766 isRetracted "false" @default.
- W3192937766 magId "3192937766" @default.
- W3192937766 workType "article" @default.