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Theoretical and practical approaches to improve the performance of local correlation algorithms for volume data analysis and shape recognition
In this paper, several approaches to be used to accelerate algorithms for fitting an atomic structure into a given 3D density map determined by cryo-EM are discussed. Rotation and translation of the atomic structure to find similarity scores are used and implemented with discrete Fourier transforms....
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/PMC8025886/ https://www.ncbi.nlm.nih.gov/pubmed/33825705 http://dx.doi.org/10.1107/S2059798321001212 |
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author | Titarenko, Valeriy Roseman, Alan M. |
author_facet | Titarenko, Valeriy Roseman, Alan M. |
author_sort | Titarenko, Valeriy |
collection | PubMed |
description | In this paper, several approaches to be used to accelerate algorithms for fitting an atomic structure into a given 3D density map determined by cryo-EM are discussed. Rotation and translation of the atomic structure to find similarity scores are used and implemented with discrete Fourier transforms. Several rotations can be combined into groups to accelerate processing. The finite resolution of experimental and simulated maps allows a reduction in the number of rotations and translations needed in order to estimate similarity-score values. |
format | Online Article Text |
id | pubmed-8025886 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | International Union of Crystallography |
record_format | MEDLINE/PubMed |
spelling | pubmed-80258862021-04-30 Theoretical and practical approaches to improve the performance of local correlation algorithms for volume data analysis and shape recognition Titarenko, Valeriy Roseman, Alan M. Acta Crystallogr D Struct Biol Ccp4 In this paper, several approaches to be used to accelerate algorithms for fitting an atomic structure into a given 3D density map determined by cryo-EM are discussed. Rotation and translation of the atomic structure to find similarity scores are used and implemented with discrete Fourier transforms. Several rotations can be combined into groups to accelerate processing. The finite resolution of experimental and simulated maps allows a reduction in the number of rotations and translations needed in order to estimate similarity-score values. International Union of Crystallography 2021-03-30 /pmc/articles/PMC8025886/ /pubmed/33825705 http://dx.doi.org/10.1107/S2059798321001212 Text en © Titarenko & Roseman 2021 http://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.http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Ccp4 Titarenko, Valeriy Roseman, Alan M. Theoretical and practical approaches to improve the performance of local correlation algorithms for volume data analysis and shape recognition |
title | Theoretical and practical approaches to improve the performance of local correlation algorithms for volume data analysis and shape recognition |
title_full | Theoretical and practical approaches to improve the performance of local correlation algorithms for volume data analysis and shape recognition |
title_fullStr | Theoretical and practical approaches to improve the performance of local correlation algorithms for volume data analysis and shape recognition |
title_full_unstemmed | Theoretical and practical approaches to improve the performance of local correlation algorithms for volume data analysis and shape recognition |
title_short | Theoretical and practical approaches to improve the performance of local correlation algorithms for volume data analysis and shape recognition |
title_sort | theoretical and practical approaches to improve the performance of local correlation algorithms for volume data analysis and shape recognition |
topic | Ccp4 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8025886/ https://www.ncbi.nlm.nih.gov/pubmed/33825705 http://dx.doi.org/10.1107/S2059798321001212 |
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