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.

Bibliographic Details
Main Authors: SM Bargeen Alam Turzo, Justin T. Seffernick, Amber D. Rolland, Micah T. Donor, Sten Heinze, James S. Prell, Vicki H. Wysocki, Steffen Lindert
Format: Article
Language:English
Published: Nature Portfolio 2022-07-01
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.
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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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