AI Reveals Nature of RNA-Protein Interactions (IMAGE)
Caption
This illustration depicts the training strategy and utilities of NucleicNet. RNA-protein structures in the protein data bank are stripped of their bound RNA, and surfaces of the proteins are analyzed for their physicochemical properties. The results are compiled as training input for NucleicNet. Once training is complete, the learned model can be used to predict RNA binding sites for unseen query protein structures.
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© 2019 KAUST; Heno Huang
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