Friday, February 04, 2022

On Highly accurate protein structure prediction with AlphaFold

Bravo! Very impressive research! Great job by Google! Just finished reading this breakthrough paper!

From the abstract:
"... Through an enormous experimental effort the structures of around 100,000 unique proteins have been determined, but this represents a small fraction of the billions of known protein sequences. Structural coverage is bottlenecked by the months to years of painstaking effort required to determine a single protein structure. ... Predicting the three-dimensional structure that a protein will adopt based solely on its amino acid sequence ... has been an important open research problem for more than 50 years. .... Here we provide the first computational method that can regularly predict protein structures with atomic accuracy even in cases in which no similar structure is known. ... demonstrating accuracy competitive with experimental structures in a majority of cases and greatly outperforming other methods. Underpinning the latest version of AlphaFold is a novel machine learning approach that incorporates physical and biological knowledge about protein structure, leveraging multi-sequence alignments, into the design of the deep learning algorithm."

Highly accurate protein structure prediction with AlphaFold | Nature (open access)

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