116 citations · 116 across the 4 of their papers we have counts for
5 papers
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…
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…
Deep convolutional networks for quality assessment of protein folds
Georgy Derevyanko, Sergei Grudinin, Yoshua Bengio +1
The computational prediction of a protein structure from its sequence generally relies on a method to assess the quality of protein models. Most assessment methods rank candidate m…
Quadratic Programming Approach to Fit Protein Complexes into Electron Density Maps
Roman Pogodin, Alexander Katrutsa, Sergei Grudinin
The paper investigates the problem of fitting protein complexes into electron density maps. They are represented by high-resolution cryoEM density maps converted into overlapping m…
Inverse Protein Folding Problem via Quadratic Programming
Andrii Riazanov, Mikhail Karasikov, Sergei Grudinin
This paper presents a method of reconstruction a primary structure of a protein that folds into a given geometrical shape. This method predicts the primary structure of a protein a…