Author: McCoy, Airlie J.; Sammito, Massimo D.; Read, Randy J.
Title: Possible Implications of AlphaFold2 for Crystallographic Phasing by Molecular Replacement Cord-id: 4osjtv7t Document date: 2021_5_18
ID: 4osjtv7t
Snippet: The AlphaFold2 results in the 14th edition of Critical Assessment of Structure Prediction (CASP14) showed that accurate (low root-mean-square deviation) in silico models of protein structure domains are on the horizon, whether or not the protein is related to known structures through high- coverage sequence similarity. As highly accurate models become available, generated by harnessing the power of correlated mutations and deep learning, one of the aspects of structural biology to be impacted wi
Document: The AlphaFold2 results in the 14th edition of Critical Assessment of Structure Prediction (CASP14) showed that accurate (low root-mean-square deviation) in silico models of protein structure domains are on the horizon, whether or not the protein is related to known structures through high- coverage sequence similarity. As highly accurate models become available, generated by harnessing the power of correlated mutations and deep learning, one of the aspects of structural biology to be impacted will be methods of phasing in crystallography. We here use the data from CASP14 to explore the prospect for changes in phasing methods, and in particular to explore the prospects for molecular replacement phasing using in silico models. Synopsis We discuss the implications of the AlphaFold2 protein structure modelling software for crystallographic phasing strategies.
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