A deep learning framework to predict binding preference of RNA constituents on protein surface
Interactions between proteins and RNA are an important mechanism for post-transcriptional regulation, but predicting these interactions is difficult. Through a deep learning approach, here the authors predict RNA-binding sites and binding preference based on the local physicochemical properties of t...
| Main Authors: | , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2019-10-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-019-12920-0 |