A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...

Astronomers use the term dark energy to refer to energy in the universe that is unaccounted for by ordinary matter but necessary to explain cosmology ...

This fully updated volume explores a wide array of new and state-of-the-art tools and resources for protein function prediction. Beginning with in-depth overviews of essential underlying computational ...

Advancements in spatial proteomics enable detailed tissue mapping, linking protein localization to disease mechanisms and ...

With a newly developed method that compares AI-generated protein sequences with naturally occurring ones, function- and structure-regulating amino acids can be determined much more precisely than ...

A major scientific advance in protein modeling developed by Microsoft Research AI for Science, has been published in Science. The study introduces BioEmu, a generative deep learning system that ...