ML meets Structural Bioinformatics: Novel Machine Learning Approaches Transforming Protein Research Landscape
Scientists from University College London, UK, study the Machine Learning (ML) approaches that have successfully closed the ever-widening gap between large amounts of protein sequences produced by state-of-the-art sequencing methods and annotations of the structures and functions of proteins. One of the best methods for structure prediction, AlphaFold2 (AF2), has resulted in a 1,000-fold increase…


















































