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Errors in structural biology are not the exception

During the COVID-19 pandemic, the structural biology community swung into action quickly and efficiently, and many urgent questions were solved by macromolecular structure determination. The Coronavirus Structural Task Force evaluated all structures from SARS-CoV-1 and SARS-CoV-2, but errors in meas...

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Detalles Bibliográficos
Autores principales: Gao, Yunyun, Thorn, Volker, Thorn, Andrea
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Union of Crystallography 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9986796/
https://www.ncbi.nlm.nih.gov/pubmed/36876430
http://dx.doi.org/10.1107/S2059798322011901
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author Gao, Yunyun
Thorn, Volker
Thorn, Andrea
author_facet Gao, Yunyun
Thorn, Volker
Thorn, Andrea
author_sort Gao, Yunyun
collection PubMed
description During the COVID-19 pandemic, the structural biology community swung into action quickly and efficiently, and many urgent questions were solved by macromolecular structure determination. The Coronavirus Structural Task Force evaluated all structures from SARS-CoV-1 and SARS-CoV-2, but errors in measurement, data processing and modelling are present beyond these structures and throughout the structures deposited in the Protein Data Bank. Identifying them is only the first step; in order to minimize the impact that errors have in structural biology, error culture needs to change. It should be emphasized that the atomic model which is published is an interpretation of the measurement. Furthermore, risks should be minimized by addressing issues early and by investigating the source of a given problem, so that it may be avoided in the future. If we as a community can do this, it will greatly benefit experimental structural biologists as well as downstream users who are using structural models to deduce new biological and medical answers in the future.
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spelling pubmed-99867962023-03-07 Errors in structural biology are not the exception Gao, Yunyun Thorn, Volker Thorn, Andrea Acta Crystallogr D Struct Biol Ccp4 During the COVID-19 pandemic, the structural biology community swung into action quickly and efficiently, and many urgent questions were solved by macromolecular structure determination. The Coronavirus Structural Task Force evaluated all structures from SARS-CoV-1 and SARS-CoV-2, but errors in measurement, data processing and modelling are present beyond these structures and throughout the structures deposited in the Protein Data Bank. Identifying them is only the first step; in order to minimize the impact that errors have in structural biology, error culture needs to change. It should be emphasized that the atomic model which is published is an interpretation of the measurement. Furthermore, risks should be minimized by addressing issues early and by investigating the source of a given problem, so that it may be avoided in the future. If we as a community can do this, it will greatly benefit experimental structural biologists as well as downstream users who are using structural models to deduce new biological and medical answers in the future. International Union of Crystallography 2023-02-27 /pmc/articles/PMC9986796/ /pubmed/36876430 http://dx.doi.org/10.1107/S2059798322011901 Text en © Gao, Thorn and Thorn 2023 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
Gao, Yunyun
Thorn, Volker
Thorn, Andrea
Errors in structural biology are not the exception
title Errors in structural biology are not the exception
title_full Errors in structural biology are not the exception
title_fullStr Errors in structural biology are not the exception
title_full_unstemmed Errors in structural biology are not the exception
title_short Errors in structural biology are not the exception
title_sort errors in structural biology are not the exception
topic Ccp4
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9986796/
https://www.ncbi.nlm.nih.gov/pubmed/36876430
http://dx.doi.org/10.1107/S2059798322011901
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