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Validated Determination of NRG1 Ig-like Domain Structure by Mass Spectrometry Coupled with Computational Modeling
Open accessPreprint — published as 10.1038/s42003-022-03411-y
Abstract
High resolution hydroxyl radical protein footprinting (HR-HRPF) is a mass spectrometry-based method that measures the solvent exposure of multiple amino acids in a single experiment, offering constraints for experimentally-informed computational modeling. HR-HRPF-based modeling has previously been used to accurately model the structure of proteins of known structure, but the technique has never been used to determine the structure of a protein of unknown structure leaving questions of unintentional bias and applicability to unknown structures unresolved. Here, we present the use of HR-HRPF-based modeling to determine the structure of the Ig-like domain of NRG1, a protein with no close homolog of known structure. Independent determination of the protein structure by both HR-HRPF-based modeling and heteronuclear NMR was carried out, with results compared only after both processes were complete. The HR-HRPF-based model was highly similar to the lowest energy NMR model, with a backbone RMSD of 1.6 Å. To our knowledge, this is the first use of HR-HRPF-based modeling to determine a previously uncharacterized protein structure.
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Highly accurate protein structure prediction with AlphaFold
Jumper, J., Evans, R., Pritzel, A., Green, T., Figurnov, M., Ronneberger, O., Tunyasuvunakool, K., Bates, R., Žídek, A., Potapenko, A., et al. (2021) · Nature · doi:10.1038/s41586-021-03819-2 · Cited by 43,764
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Research works printed but not linked: 65
- 10.1021/acs.analchem.0c04281 · DOI
- 10.1038/nbt.2999 · DOI
- 10.1002/pmic.202100145 · DOI
- 10.1021/acs.chemrev.9b00815 · DOI
- 10.1073/pnas.89.12.5630 · DOI
- 10.1021/jasms.9b00132 · DOI
- 10.1021/ac300120z · DOI
- 10.1002/anie.201706697 · DOI
- 10.1021/jasms.0c00085 · DOI
- 10.1002/anie.202014096 · DOI
- 10.1074/mcp.O114.044362 · DOI
- 10.1038/s41598-017-04689-3 · DOI
- 10.1063/1.555805 · DOI · Paper page
- 10.1021/ac050299+ · DOI
- 10.1021/acs.chemrev.1c00432 · DOI
- 10.1016/S0003-2697(02)00612-7 · DOI
- 10.1021/ac0302004 · DOI
- 10.1016/j.ab.2005.02.005 · DOI
- 10.1002/(SICI)1097-0231(19991215)13:23<2352::AID-RCM798>3.0.CO;2-X · DOI
- 2001, Unfolding of apomyoglobin helices by synchrotron radiolysis and mass spectrometry, Eur JBiochem, 268, 5578, 10.1046/j.1432-1033.2001.02492.x · DOI
- 10.1021/ac050353m · DOI
- 10.1016/j.jasms.2005.09.008 · DOI
- 10.1038/s41598-017-13371-7 · DOI
- 10.1021/cr00078a006 · DOI
- 10.1016/j.bpj.2014.11.013 · DOI
- 2006, Effects of anion proximity in peptide primary sequence on the rate and mechanism of leucine oxidation, Anal Chem, 78, 4885, 10.1021/ac060329o · DOI
- 10.1021/acs.jctc.9b00101 · DOI
- 10.1021/acs.analchem.8b01624 · DOI
- 10.1038/s41467-020-20549-7 · DOI
- 10.1073/pnas.1201114109 · DOI
- 10.1016/j.neuron.2014.06.007 · DOI
- 10.1038/nrn2392 · DOI · Paper page
- 10.1016/S1054-3589(10)59002-1 · DOI
- 10.1016/j.pneurobio.2019.101643 · DOI
- 10.1038/s41398-020-00868-5 · DOI
- 10.1016/j.annonc.2020.08.2335 · DOI
- 10.1016/j.brainresbull.2016.07.003 · DOI
- 10.1074/jbc.M402645200 · DOI
- 10.1083/jcb.130.1.127 · DOI
- 10.1074/jbc.M104485200 · DOI
- 10.1002/1878-0261.12310 · DOI
- 10.1016/j.bbrc.2006.09.028 · DOI
- 10.1074/jbc.M115.648410 · DOI
- 10.1021/ac901054w · DOI
- 10.1021/acs.analchem.5b02865 · DOI
- 10.1023/A:1008398416292 · DOI
- 10.1038/nchembio.2344 · DOI
- 10.1093/bioinformatics/btz422 · DOI
- 10.1126/science.abm4805 · DOI · Paper page
- 10.1021/acs.biochem.6b00444 · DOI
- 2017, The Rosetta all-atom energy function for macromolecular modeling and design, Journal of Chemical Theory and Computation, 13, 3031, 10.1021/acs.jctc.7b00125 · DOI · Paper page
- 10.1093/nar/gkh468 · DOI
- 10.1146/annurev-physchem-082720-123928 · DOI
- 10.1007/s10858-016-0072-7 · DOI
- 10.1007/BF00197809 · DOI
- 10.1006/jmbi.1997.1052 · DOI
- 10.1021/bi00445a003 · DOI
- 10.1006/jmbi.1997.1284 · DOI
- 10.1016/S0022-2836(02)00241-3 · DOI
- 10.1007/s10858-015-9955-2 · DOI
- 10.1007/s10858-013-9741-y · DOI
- 10.1038/nprot.2007.406 · DOI
- 10.1002/prot.10299 · DOI
- 10.1002/prot.21165 · DOI
- 10.1016/j.bpj.2017.03.011 · DOI
Metadata
- Authors
- Khaje, N. A., Eletsky, A., Biehn, S. E., Mobley, C. K., Rogals, M. J., Kim, Y., Mishra, S. K., Doerksen, R. J., Lindert, S., Prestegard, J., & Sharp, J. S.
- Affiliations
- University of Mississippi (US)
- University of Georgia (US)
- The Ohio State University (US)
- Corresponding author
- Sharp, Joshua S.
- ORCID
- Venue
- Communications Biology
- Publisher
- openRxiv
- Published
- 2021-12-14
- Volume
- 5
- Issue
- 1
- Pages
- 452-452
- ISSN
- 2399-3642 (ISSN-L)
- PMC
- PMC9098640
- OpenAlex
- W4280516430
- Cited by
- 14
- References
- 1
- Citations by year
- 2026: 5 · 2025: 3 · 2023: 4 · 2022: 2
- FWCI
- 0.73
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- Communications Biology (publishedVersion, cc-by)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Funders
- National Science Foundation (1750666, P41GM111135)
- U.S. Department of Health and Human Services (P20GM130460, R01GM127267, R01GM134335, P41GM111135)
- National Institutes of Health
- Directorate for Mathematical and Physical Sciences (CHE 1750666)
- National Institute of General Medical Sciences (R01GM033225, P41GM111135, R01GM134335, P20GM130460, R01GM127267)
- Division of Chemistry (CHE-1750666, 1750666)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
- Physical Sciences › Chemistry › Spectroscopy › Mass Spectrometry Techniques and Applications
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Structural Biology › Enzyme Structure and Function
- Keywords
- neuregulin-1, immunoglobulin-like domains, protein structure determination, solvent exposure, protein structure modeling
- MeSH terms
- Immunoglobulin Domains, Computer Simulation, Proteins, Mass Spectrometry, Hydroxyl Radical, Protein Footprinting
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