Local computational methods to improve the interpretability and analysis of cryo-EM maps
Here, the authors present two local methods for analyzing cryo-EM maps: LocSpiral and LocBSharpen that enhance high-resolution features of cryoEM maps, while preventing map distortions. They also introduce LocBFactor and LocOccupancy, which allow obtaining local B-factors and electron density occupa...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2021-02-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-021-21509-5 |
| _version_ | 1818823903512887296 |
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| author | Satinder Kaur Josue Gomez-Blanco Ahmad A. Z. Khalifa Swathi Adinarayanan Ruben Sanchez-Garcia Daniel Wrapp Jason S. McLellan Khanh Huy Bui Javier Vargas |
| author_facet | Satinder Kaur Josue Gomez-Blanco Ahmad A. Z. Khalifa Swathi Adinarayanan Ruben Sanchez-Garcia Daniel Wrapp Jason S. McLellan Khanh Huy Bui Javier Vargas |
| author_sort | Satinder Kaur |
| collection | DOAJ |
| description | Here, the authors present two local methods for analyzing cryo-EM maps: LocSpiral and LocBSharpen that enhance high-resolution features of cryoEM maps, while preventing map distortions. They also introduce LocBFactor and LocOccupancy, which allow obtaining local B-factors and electron density occupancy maps from cryo-EM reconstructions and the authors demonstrate that these methods improve the interpretability and analysis of cryo-EM maps using different test cases among them recent SARS-CoV-2 spike glycoprotein structures. |
| first_indexed | 2024-12-18T23:47:22Z |
| format | Article |
| id | doaj.art-2928f81dd69c4fec95ef924855a77a93 |
| institution | Directory Open Access Journal |
| issn | 2041-1723 |
| language | English |
| last_indexed | 2024-12-18T23:47:22Z |
| publishDate | 2021-02-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Nature Communications |
| spelling | doaj.art-2928f81dd69c4fec95ef924855a77a932022-12-21T20:47:09ZengNature PortfolioNature Communications2041-17232021-02-0112111210.1038/s41467-021-21509-5Local computational methods to improve the interpretability and analysis of cryo-EM mapsSatinder Kaur0Josue Gomez-Blanco1Ahmad A. Z. Khalifa2Swathi Adinarayanan3Ruben Sanchez-Garcia4Daniel Wrapp5Jason S. McLellan6Khanh Huy Bui7Javier Vargas8Departament of Anatomy and Cell Biology, McGill University 3640 Rue UniversityDepartament of Anatomy and Cell Biology, McGill University 3640 Rue UniversityDepartament of Anatomy and Cell Biology, McGill University 3640 Rue UniversityDepartament of Anatomy and Cell Biology, McGill University 3640 Rue UniversityBiocomputing Unit, Centro Nacional de Biotecnología-CSIC C/Darwin 3Department of Molecular Biosciences, The University of Texas at AustinDepartment of Molecular Biosciences, The University of Texas at AustinDepartament of Anatomy and Cell Biology, McGill University 3640 Rue UniversityDepartmento de Óptica, Universidad Complutense de MadridHere, the authors present two local methods for analyzing cryo-EM maps: LocSpiral and LocBSharpen that enhance high-resolution features of cryoEM maps, while preventing map distortions. They also introduce LocBFactor and LocOccupancy, which allow obtaining local B-factors and electron density occupancy maps from cryo-EM reconstructions and the authors demonstrate that these methods improve the interpretability and analysis of cryo-EM maps using different test cases among them recent SARS-CoV-2 spike glycoprotein structures.https://doi.org/10.1038/s41467-021-21509-5 |
| spellingShingle | Satinder Kaur Josue Gomez-Blanco Ahmad A. Z. Khalifa Swathi Adinarayanan Ruben Sanchez-Garcia Daniel Wrapp Jason S. McLellan Khanh Huy Bui Javier Vargas Local computational methods to improve the interpretability and analysis of cryo-EM maps Nature Communications |
| title | Local computational methods to improve the interpretability and analysis of cryo-EM maps |
| title_full | Local computational methods to improve the interpretability and analysis of cryo-EM maps |
| title_fullStr | Local computational methods to improve the interpretability and analysis of cryo-EM maps |
| title_full_unstemmed | Local computational methods to improve the interpretability and analysis of cryo-EM maps |
| title_short | Local computational methods to improve the interpretability and analysis of cryo-EM maps |
| title_sort | local computational methods to improve the interpretability and analysis of cryo em maps |
| url | https://doi.org/10.1038/s41467-021-21509-5 |
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