Accurate prediction of protein function using statistics-informed graph networks
Abstract Understanding protein function is pivotal in comprehending the intricate mechanisms that underlie many crucial biological activities, with far-reaching implications in the fields of medicine, biotechnology, and drug development. However, more than 200 million proteins remain uncharacterized...
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| Main Authors: | Yaan J. Jang, Qi-Qi Qin, Si-Yu Huang, Arun T. John Peter, Xue-Ming Ding, Benoît Kornmann |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2024-08-01
|
| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-024-50955-0 |
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