Using graph convolutional neural networks to learn a representation for glycans.

Abstract excerpt

As the only nonlinear and the most diverse biological sequence, glycans offer substantial challenges for computational biology. These carbohydrates participate in nearly all biological processes-from protein folding to viral cell entry-yet are still not well understood. There are few computational methods to link glycan sequences to functions, and they do not fully leverage all available information about...

Topics

Share this publication in a Topic to start or enrich a Post.

• Share to Machine Learning
• Share to Models, Molecular
• Share to Neural Networks, Computer