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07/26/2021
6DCNN with roto-translational convolution filters for volumetric data processing
In this work, we introduce 6D Convolutional Neural Network (6DCNN) desig...
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05/16/2021
Protein sequence-to-structure learning: Is this the end(-to-end revolution)?
The potential of deep learning has been recognized in the protein struct...
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11/16/2020
Spherical convolutions on molecular graphs for protein model quality assessment
Processing information on 3D objects requires methods stable to rigid-bo...
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10/29/2018