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Since DeepMind demonstrated significant progress in this field at the 2020 Critical Assessment of Structure Prediction (CASP14) conference, scientists have been waiting for months to obtain high-precision protein structure predictions
Researchers at the Institute for Protein Design at the University of Washington School of Medicine in Seattle have largely reproduced DeepMind's performance on this important task
Unlike DeepMind, the method of the University of Washington medical team is called RoseTTAFold and is available for free
Proteins are composed of a series of amino acids, which are folded into complex microscopic shapes
"This has been a busy year for the Protein Design Institute.
In this new study, a team of computational biologists led by Baker developed the RoseTTAFold software tool
On the other hand, RoseTTAFold can accurately calculate the protein structure within ten minutes on a gaming computer
The team used RoseTTAFold to calculate hundreds of new protein structures, including many little-known human genome proteins
RoseTTAFold is a "three-track" neural network, which means that it also considers the pattern of the protein sequence, how the amino acids of the protein interact, and the possible three-dimensional structure of the protein
"We hope this new tool will continue to benefit the entire research community," Minkyung Baek said