116 citations · 118 across the 3 of their papers we have counts for
3 papers
Dock2D: Synthetic data for the molecular recognition problem
Siddharth Bhadra-Lobo, Georgy Derevyanko, Guillaume Lamoureux
Predicting the physical interaction of proteins is a cornerstone problem in computational biology. New classes of learning-based algorithms are actively being developed, and are ty…
TorchProteinLibrary: A computationally efficient, differentiable representation of protein structure
Georgy Derevyanko, Guillaume Lamoureux
Predicting the structure of a protein from its sequence is a cornerstone task of molecular biology. Established methods in the field, such as homology modeling and fragment assembl…
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…