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Ten things I ‘hate’ about refinement

Macromolecular refinement is an optimization process that aims to produce the most likely macromolecular structural model in the light of experimental data. As such, macromolecular refinement is one of the most complex optimization problems in wide use. Macromolecular refinement programs have to dea...

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Detalles Bibliográficos
Autores principales: Roversi, Pietro, Tronrud, Dale E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Union of Crystallography 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8647177/
https://www.ncbi.nlm.nih.gov/pubmed/34866607
http://dx.doi.org/10.1107/S2059798321011700
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author Roversi, Pietro
Tronrud, Dale E.
author_facet Roversi, Pietro
Tronrud, Dale E.
author_sort Roversi, Pietro
collection PubMed
description Macromolecular refinement is an optimization process that aims to produce the most likely macromolecular structural model in the light of experimental data. As such, macromolecular refinement is one of the most complex optimization problems in wide use. Macromolecular refinement programs have to deal with the complex relationship between the parameters of the atomic model and the experimental data, as well as a large number of types of prior knowledge about chemical structure. This paper draws attention to areas of unfinished business in the field of macromolecular refinement. In it, we describe ten refinement topics that we think deserve attention and discuss directions leading to macromolecular refinement software that would make the best use of modern computer resources to meet the needs of structural biologists of the twenty-first century.
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spelling pubmed-86471772021-12-16 Ten things I ‘hate’ about refinement Roversi, Pietro Tronrud, Dale E. Acta Crystallogr D Struct Biol Ccp4 Macromolecular refinement is an optimization process that aims to produce the most likely macromolecular structural model in the light of experimental data. As such, macromolecular refinement is one of the most complex optimization problems in wide use. Macromolecular refinement programs have to deal with the complex relationship between the parameters of the atomic model and the experimental data, as well as a large number of types of prior knowledge about chemical structure. This paper draws attention to areas of unfinished business in the field of macromolecular refinement. In it, we describe ten refinement topics that we think deserve attention and discuss directions leading to macromolecular refinement software that would make the best use of modern computer resources to meet the needs of structural biologists of the twenty-first century. International Union of Crystallography 2021-11-30 /pmc/articles/PMC8647177/ /pubmed/34866607 http://dx.doi.org/10.1107/S2059798321011700 Text en © Roversi and Tronrud 2021 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
Roversi, Pietro
Tronrud, Dale E.
Ten things I ‘hate’ about refinement
title Ten things I ‘hate’ about refinement
title_full Ten things I ‘hate’ about refinement
title_fullStr Ten things I ‘hate’ about refinement
title_full_unstemmed Ten things I ‘hate’ about refinement
title_short Ten things I ‘hate’ about refinement
title_sort ten things i ‘hate’ about refinement
topic Ccp4
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8647177/
https://www.ncbi.nlm.nih.gov/pubmed/34866607
http://dx.doi.org/10.1107/S2059798321011700
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