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TEMPy2: a Python library with improved 3D electron microscopy density-fitting and validation workflows
Structural determination of molecular complexes by cryo-EM requires large, often complex processing of the image data that are initially obtained. Here, TEMPy2, an update of the TEMPy package to process, optimize and assess cryo-EM maps and the structures fitted to them, is described. New optimizati...
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/PMC7787107/ https://www.ncbi.nlm.nih.gov/pubmed/33404524 http://dx.doi.org/10.1107/S2059798320014928 |
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author | Cragnolini, Tristan Sahota, Harpal Joseph, Agnel Praveen Sweeney, Aaron Malhotra, Sony Vasishtan, Daven Topf, Maya |
author_facet | Cragnolini, Tristan Sahota, Harpal Joseph, Agnel Praveen Sweeney, Aaron Malhotra, Sony Vasishtan, Daven Topf, Maya |
author_sort | Cragnolini, Tristan |
collection | PubMed |
description | Structural determination of molecular complexes by cryo-EM requires large, often complex processing of the image data that are initially obtained. Here, TEMPy2, an update of the TEMPy package to process, optimize and assess cryo-EM maps and the structures fitted to them, is described. New optimization routines, comprehensive automated checks and workflows to perform these tasks are described. |
format | Online Article Text |
id | pubmed-7787107 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | International Union of Crystallography |
record_format | MEDLINE/PubMed |
spelling | pubmed-77871072021-01-29 TEMPy2: a Python library with improved 3D electron microscopy density-fitting and validation workflows Cragnolini, Tristan Sahota, Harpal Joseph, Agnel Praveen Sweeney, Aaron Malhotra, Sony Vasishtan, Daven Topf, Maya Acta Crystallogr D Struct Biol Ccp4 Structural determination of molecular complexes by cryo-EM requires large, often complex processing of the image data that are initially obtained. Here, TEMPy2, an update of the TEMPy package to process, optimize and assess cryo-EM maps and the structures fitted to them, is described. New optimization routines, comprehensive automated checks and workflows to perform these tasks are described. International Union of Crystallography 2021-01-01 /pmc/articles/PMC7787107/ /pubmed/33404524 http://dx.doi.org/10.1107/S2059798320014928 Text en © Cragnolini et al. 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 Cragnolini, Tristan Sahota, Harpal Joseph, Agnel Praveen Sweeney, Aaron Malhotra, Sony Vasishtan, Daven Topf, Maya TEMPy2: a Python library with improved 3D electron microscopy density-fitting and validation workflows |
title |
TEMPy2: a Python library with improved 3D electron microscopy density-fitting and validation workflows |
title_full |
TEMPy2: a Python library with improved 3D electron microscopy density-fitting and validation workflows |
title_fullStr |
TEMPy2: a Python library with improved 3D electron microscopy density-fitting and validation workflows |
title_full_unstemmed |
TEMPy2: a Python library with improved 3D electron microscopy density-fitting and validation workflows |
title_short |
TEMPy2: a Python library with improved 3D electron microscopy density-fitting and validation workflows |
title_sort | tempy2: a python library with improved 3d electron microscopy density-fitting and validation workflows |
topic | Ccp4 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7787107/ https://www.ncbi.nlm.nih.gov/pubmed/33404524 http://dx.doi.org/10.1107/S2059798320014928 |
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