Protein shape sampled by ion mobility mass spectrometry consistently improves protein structure prediction
Collision cross sections (CCS) from ion mobility mass spectrometry provide information about protein shape and size. Here, the authors develop an algorithm to predict CCS and integrate experimental ion mobility data into Rosetta-based molecular modelling to predict protein structures from sequence.
Main Authors: | , , , , , , , |
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Format: | Article |
Language: | English |
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Nature Portfolio
2022-07-01
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Series: | Nature Communications |
Online Access: | https://doi.org/10.1038/s41467-022-32075-9 |
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author | SM Bargeen Alam Turzo Justin T. Seffernick Amber D. Rolland Micah T. Donor Sten Heinze James S. Prell Vicki H. Wysocki Steffen Lindert |
author_facet | SM Bargeen Alam Turzo Justin T. Seffernick Amber D. Rolland Micah T. Donor Sten Heinze James S. Prell Vicki H. Wysocki Steffen Lindert |
author_sort | SM Bargeen Alam Turzo |
collection | DOAJ |
description | Collision cross sections (CCS) from ion mobility mass spectrometry provide information about protein shape and size. Here, the authors develop an algorithm to predict CCS and integrate experimental ion mobility data into Rosetta-based molecular modelling to predict protein structures from sequence. |
first_indexed | 2024-12-11T16:42:18Z |
format | Article |
id | doaj.art-303314d1bc3e4445821c95a69c584e9a |
institution | Directory Open Access Journal |
issn | 2041-1723 |
language | English |
last_indexed | 2024-12-11T16:42:18Z |
publishDate | 2022-07-01 |
publisher | Nature Portfolio |
record_format | Article |
series | Nature Communications |
spelling | doaj.art-303314d1bc3e4445821c95a69c584e9a2022-12-22T00:58:18ZengNature PortfolioNature Communications2041-17232022-07-0113111510.1038/s41467-022-32075-9Protein shape sampled by ion mobility mass spectrometry consistently improves protein structure predictionSM Bargeen Alam Turzo0Justin T. Seffernick1Amber D. Rolland2Micah T. Donor3Sten Heinze4James S. Prell5Vicki H. Wysocki6Steffen Lindert7Department of Chemistry and Biochemistry and Resource for Native Mass Spectrometry Guided Structural Biology, Ohio State UniversityDepartment of Chemistry and Biochemistry and Resource for Native Mass Spectrometry Guided Structural Biology, Ohio State UniversityDepartment of Chemistry and Biochemistry and Materials Science Institute, University of OregonDepartment of Chemistry and Biochemistry and Materials Science Institute, University of OregonDepartment of Chemistry and Biochemistry and Resource for Native Mass Spectrometry Guided Structural Biology, Ohio State UniversityDepartment of Chemistry and Biochemistry and Materials Science Institute, University of OregonDepartment of Chemistry and Biochemistry and Resource for Native Mass Spectrometry Guided Structural Biology, Ohio State UniversityDepartment of Chemistry and Biochemistry and Resource for Native Mass Spectrometry Guided Structural Biology, Ohio State UniversityCollision cross sections (CCS) from ion mobility mass spectrometry provide information about protein shape and size. Here, the authors develop an algorithm to predict CCS and integrate experimental ion mobility data into Rosetta-based molecular modelling to predict protein structures from sequence.https://doi.org/10.1038/s41467-022-32075-9 |
spellingShingle | SM Bargeen Alam Turzo Justin T. Seffernick Amber D. Rolland Micah T. Donor Sten Heinze James S. Prell Vicki H. Wysocki Steffen Lindert Protein shape sampled by ion mobility mass spectrometry consistently improves protein structure prediction Nature Communications |
title | Protein shape sampled by ion mobility mass spectrometry consistently improves protein structure prediction |
title_full | Protein shape sampled by ion mobility mass spectrometry consistently improves protein structure prediction |
title_fullStr | Protein shape sampled by ion mobility mass spectrometry consistently improves protein structure prediction |
title_full_unstemmed | Protein shape sampled by ion mobility mass spectrometry consistently improves protein structure prediction |
title_short | Protein shape sampled by ion mobility mass spectrometry consistently improves protein structure prediction |
title_sort | protein shape sampled by ion mobility mass spectrometry consistently improves protein structure prediction |
url | https://doi.org/10.1038/s41467-022-32075-9 |
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