What is it about?
Depending on their amino acid sequences, the proteins fold into specific three-dimensional (3D) structures, which are crucial to fulfill their cellular and biochemical functions. The knowledge of the 3D structure of all the proteins is then very important to appreciate their biological and biochemical functions as well as the potential impact of mutations associated with diseases. Very high accuracy in protein 3D structure prediction has recently been reached by the deep-learning based programs AlphaFold or RoseTTAFold.
Photo by National Cancer Institute on Unsplash
Why is it important?
Here, we take advantage of these high quality models to solve the crystal structure of a yeast protein involved in an mRNA quality control pathway. This article illustrates one of the important applications of 3D protein structure models generated by AlphaFold or RoseTTAFold programs, i.e. in solving the X-ray crystallography phase problem. We discuss the different strategies to generate search models.
Read the Original
This page is a summary of: The X-ray crystallography phase problem solved thanks to AlphaFold and RoseTTAFold models: a case-study report, Acta Crystallographica Section D Structural Biology, March 2022, International Union of Crystallography, DOI: 10.1107/s2059798322002157.
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