Convergent evolution—where distinct species independently evolve similar traits or functions, such as the wings of birds and bats—has long fascinated biologists. Now, a research team led by Prof. Zou ...
The key insight with a new strategy for training protein engineering models, called EvoRank, is to harness the natural variations of millions of proteins generated by evolution over deep time and ...
In the rapidly advancing field of computational biology, a newly peer-reviewed review explores the transformative role of deep learning techniques in revolutionizing protein structure prediction. The ...
This review provides an overview of traditional and modern methods for protein structure prediction and their characteristics and introduces the groundbreaking network features of the AlphaFold family ...
EvoRank offers a new and tangible example of how AI may help bring disruptive change to biomedical research and biotechnology more broadly. Using the MutRank framework trained with EvoRank, Danny Diaz ...
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