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 ...

In a recent study published in the journal Nature Machine Intelligence, researchers developed "DeepGO-SE," a method to predict gene ontology (GO) functions from protein sequences using a large, ...

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 ...

Proteomics is the large-scale study of proteins, particularly their structures and functions. It involves the systematic identification, quantification, and analysis of the entire protein complement ...

Within the past few years, models that can predict the structure or function of proteins have been widely used for a variety of biological applications, such as identifying drug targets and designing ...

Proteins are essential macromolecules that play a crucial role in virtually all biological processes. They are the building blocks of life, performing a wide range of functions within organisms, from ...

Researchers have taken a significant step forward in understanding the stability of proteins by leveraging the power of AI. The research team used AlphaFold2 to explore how mutations affect protein ...

Protein engineering is a powerful biotechnological process that focuses on creating new enzymes or proteins and improving the functions of existing ones by manipulating their natural macromolecular ...