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q-bio.BM2022
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…
q-bio.BM2018
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…