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Implications of AlphaFold2 for crystallographic phasing by molecular replacement

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 s...

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Autores principales: McCoy, Airlie J., Sammito, Massimo D., Read, Randy J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Union of Crystallography 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8725160/
https://www.ncbi.nlm.nih.gov/pubmed/34981757
http://dx.doi.org/10.1107/S2059798321012122
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author McCoy, Airlie J.
Sammito, Massimo D.
Read, Randy J.
author_facet McCoy, Airlie J.
Sammito, Massimo D.
Read, Randy J.
author_sort McCoy, Airlie J.
collection PubMed
description 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. Here, the data from CASP14 are used to explore the prospects for changes in phasing methods, and in particular to explore the prospects for molecular-replacement phasing using in silico models.
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spelling pubmed-87251602022-01-06 Implications of AlphaFold2 for crystallographic phasing by molecular replacement McCoy, Airlie J. Sammito, Massimo D. Read, Randy J. Acta Crystallogr D Struct Biol Ccp4 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. Here, the data from CASP14 are used to explore the prospects for changes in phasing methods, and in particular to explore the prospects for molecular-replacement phasing using in silico models. International Union of Crystallography 2022-01-01 /pmc/articles/PMC8725160/ /pubmed/34981757 http://dx.doi.org/10.1107/S2059798321012122 Text en © McCoy, Sammito and Read 2022 https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution (CC-BY) Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are cited.
spellingShingle Ccp4
McCoy, Airlie J.
Sammito, Massimo D.
Read, Randy J.
Implications of AlphaFold2 for crystallographic phasing by molecular replacement
title Implications of AlphaFold2 for crystallographic phasing by molecular replacement
title_full Implications of AlphaFold2 for crystallographic phasing by molecular replacement
title_fullStr Implications of AlphaFold2 for crystallographic phasing by molecular replacement
title_full_unstemmed Implications of AlphaFold2 for crystallographic phasing by molecular replacement
title_short Implications of AlphaFold2 for crystallographic phasing by molecular replacement
title_sort implications of alphafold2 for crystallographic phasing by molecular replacement
topic Ccp4
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8725160/
https://www.ncbi.nlm.nih.gov/pubmed/34981757
http://dx.doi.org/10.1107/S2059798321012122
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