DeepBind predicts where proteins bind, uncovering disease-causing mutations
A new tool called DeepBind uses deep learning to analyze how proteins bind to DNA and RNA, allowing it to detect mutations that could disrupt cellular processes and cause disease.
CIFAR Senior Fellow Brendan Frey (University of Toronto), supervising lead authors Babak Alipanahi and Andrew Delong, developed the method using deep learning -- a machine learning technique pioneered by CIFAR fellows in the Neural Computation & Adaptive Perception program and now used by companies such as Google and Facebook.
Hundreds of thousands of proteins in human cells attach themselves ...



