Integration of pre-trained protein language models into geometric deep learning networks
Abstract Geometric deep learning has recently achieved great success in non-Euclidean domains, and learning on 3D structures of large biomolecules is emerging as a distinct research area. However, its efficacy is largely constrained due to the limited quantity of structural data. Meanwhile, protein...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2023-08-01
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| Series: | Communications Biology |
| Online Access: | https://doi.org/10.1038/s42003-023-05133-1 |