Protein function prediction and annotation represent critical challenges in the post‐genomic era. As high‐throughput sequencing continues to generate vast amounts of protein data, computational ...
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 ...
(L) Senior co-corresponding author M. Madan Babu, PhD, FRS, St. Jude Senior Vice President of Data Science, Chief Data Scientist, Center of Excellence for Data-Driven Discovery director and Department ...
A new artificial intelligence (AI) tool that draws logical inferences about the function of unknown proteins promises to help scientists unravel the inner workings of the cell. Developed by KAUST ...
OpenProtein.AI is helping biologists stay on the cutting edge of AI with a no-code platform for protein engineering.
Researchers present BioEmu – a new AI model that rapidly and accurately predicts the full range of shapes a protein can adopt, offering a faster, cheaper alternative to traditional molecular ...
A newly developed generative AI model is helping researchers explore protein dynamics with increased speed. The deep learning system, called BioEmu, predicts the full range of conformations a protein ...
Protein engineering is a field primed for artificial intelligence research. Each protein is made up of amino acids; to ...
Scientists at St. Jude Children's Research Hospital have created a database that provides updated predicted structures on a regular basis, ensuring scientists can work with the most current ...
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