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Modelling covalent linkages in CCP4
In this contribution, the current protocols for modelling covalent linkages within the CCP4 suite are considered. The mechanism used for modelling covalent linkages is reviewed: the use of dictionaries for describing changes to stereochemistry as a result of the covalent linkage and the application...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
International Union of Crystallography
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8171069/ https://www.ncbi.nlm.nih.gov/pubmed/34076587 http://dx.doi.org/10.1107/S2059798321001753 |
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author | Nicholls, Robert A. Joosten, Robbie P. Long, Fei Wojdyr, Marcin Lebedev, Andrey Krissinel, Eugene Catapano, Lucrezia Fischer, Marcus Emsley, Paul Murshudov, Garib N. |
author_facet | Nicholls, Robert A. Joosten, Robbie P. Long, Fei Wojdyr, Marcin Lebedev, Andrey Krissinel, Eugene Catapano, Lucrezia Fischer, Marcus Emsley, Paul Murshudov, Garib N. |
author_sort | Nicholls, Robert A. |
collection | PubMed |
description | In this contribution, the current protocols for modelling covalent linkages within the CCP4 suite are considered. The mechanism used for modelling covalent linkages is reviewed: the use of dictionaries for describing changes to stereochemistry as a result of the covalent linkage and the application of link-annotation records to structural models to ensure the correct treatment of individual instances of covalent linkages. Previously, linkage descriptions were lacking in quality compared with those of contemporary component dictionaries. Consequently, AceDRG has been adapted for the generation of link dictionaries of the same quality as for individual components. The approach adopted by AceDRG for the generation of link dictionaries is outlined, which includes associated modifications to the linked components. A number of tools to facilitate the practical modelling of covalent linkages available within the CCP4 suite are described, including a new restraint-dictionary accumulator, the Make Covalent Link tool and AceDRG interface in Coot, the 3D graphical editor JLigand and the mechanisms for dealing with covalent linkages in the CCP4i2 and CCP4 Cloud environments. These integrated solutions streamline and ease the covalent-linkage modelling workflow, seamlessly transferring relevant information between programs. Current recommended practice is elucidated by means of instructive practical examples. By summarizing the different approaches to modelling linkages that are available within the CCP4 suite, limitations and potential pitfalls that may be encountered are highlighted in order to raise awareness, with the intention of improving the quality of future modelled covalent linkages in macromolecular complexes. |
format | Online Article Text |
id | pubmed-8171069 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | International Union of Crystallography |
record_format | MEDLINE/PubMed |
spelling | pubmed-81710692021-06-14 Modelling covalent linkages in CCP4 Nicholls, Robert A. Joosten, Robbie P. Long, Fei Wojdyr, Marcin Lebedev, Andrey Krissinel, Eugene Catapano, Lucrezia Fischer, Marcus Emsley, Paul Murshudov, Garib N. Acta Crystallogr D Struct Biol Ccp4 In this contribution, the current protocols for modelling covalent linkages within the CCP4 suite are considered. The mechanism used for modelling covalent linkages is reviewed: the use of dictionaries for describing changes to stereochemistry as a result of the covalent linkage and the application of link-annotation records to structural models to ensure the correct treatment of individual instances of covalent linkages. Previously, linkage descriptions were lacking in quality compared with those of contemporary component dictionaries. Consequently, AceDRG has been adapted for the generation of link dictionaries of the same quality as for individual components. The approach adopted by AceDRG for the generation of link dictionaries is outlined, which includes associated modifications to the linked components. A number of tools to facilitate the practical modelling of covalent linkages available within the CCP4 suite are described, including a new restraint-dictionary accumulator, the Make Covalent Link tool and AceDRG interface in Coot, the 3D graphical editor JLigand and the mechanisms for dealing with covalent linkages in the CCP4i2 and CCP4 Cloud environments. These integrated solutions streamline and ease the covalent-linkage modelling workflow, seamlessly transferring relevant information between programs. Current recommended practice is elucidated by means of instructive practical examples. By summarizing the different approaches to modelling linkages that are available within the CCP4 suite, limitations and potential pitfalls that may be encountered are highlighted in order to raise awareness, with the intention of improving the quality of future modelled covalent linkages in macromolecular complexes. International Union of Crystallography 2021-05-19 /pmc/articles/PMC8171069/ /pubmed/34076587 http://dx.doi.org/10.1107/S2059798321001753 Text en © Nicholls et al. 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 Nicholls, Robert A. Joosten, Robbie P. Long, Fei Wojdyr, Marcin Lebedev, Andrey Krissinel, Eugene Catapano, Lucrezia Fischer, Marcus Emsley, Paul Murshudov, Garib N. Modelling covalent linkages in CCP4 |
title | Modelling covalent linkages in CCP4 |
title_full | Modelling covalent linkages in CCP4 |
title_fullStr | Modelling covalent linkages in CCP4 |
title_full_unstemmed | Modelling covalent linkages in CCP4 |
title_short | Modelling covalent linkages in CCP4 |
title_sort | modelling covalent linkages in ccp4 |
topic | Ccp4 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8171069/ https://www.ncbi.nlm.nih.gov/pubmed/34076587 http://dx.doi.org/10.1107/S2059798321001753 |
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