2 papers
q-bio.QM2021
6DCNN with roto-translational convolution filters for volumetric data processing
Dmitrii Zhemchuzhnikov, Ilia Igashov, Sergei Grudinin
In this work, we introduce 6D Convolutional Neural Network (6DCNN) designed to tackle the problem of detecting relative positions and orientations of local patterns when processing…
q-bio.QM2018
DeepSymmetry : Using 3D convolutional networks for identification of tandem repeats and internal symmetries in protein structures
Guillaume Pagès, Sergei Grudinin
Motivation: Thanks to the recent advances in structural biology, nowadays three-dimensional structures of various proteins are solved on a routine basis. A large portion of these c…