Abstract
Theory and experimental evidence unequivocally indicate that protein folding is far more complex than the two-state (all-or-none) model that is usually assumed in the analysis of folding experiments. Proteins tend to fold hierarchically by forming secondary structure elements, followed by supersecondary arrangements, and other intermediate states that ultimately adopt the native tertiary fold as a result of a delicate balance between interatomic interactions and entropic contributions. However, small proteins with simple folds typically follow downhill folding, characterized by very small energetic barriers (<3 RT) that allow multiple protein conformations to be populated along the folding path down the free energy landscape, reaching the native fold at the lowest energy level.
Here we describe the use of solution-state nuclear magnetic resonance (NMR) for the analysis of protein folding interaction networks at atomic resolution. The assignment of NMR spectra acquired at different unfolding conditions provides hundreds of atomic unfolding curves that are analyzed to infer the network of folding interactions. The method is particularly useful to study small proteins that fold autonomously in the sub-millisecond timescale. The information obtained from the application of this method can potentially unveil the basic relationships between protein structure and folding.
Key words
- Protein folding
- Nuclear magnetic resonance
- Interaction networks
- Minimal cooperativity
This is a preview of subscription content, access via your institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Bryngelson JD, Onuchic JN, Socci ND, Wolynes PG (1995) Funnels, pathways, and the energy landscape of protein-folding - a synthesis. Proteins Struct Funct Genet 21:167–195
Pande VJ (2008) Computer simulations of protein folding. In: Muñoz V (ed) Protein folding, misfolding and aggregation: classical themes and novel approaches. RSC, Cambridge, pp 161–187
Jackson SE (1998) How do small single-domain proteins fold? Fold Des 3:R81–R91
Kubelka J, Hofrichter J, Eaton WA (2004) The protein folding ‘speed limit’. Curr Opin Struct Biol 14:76–88
Muñoz V (2007) Conformational dynamics and ensembles in protein folding. Annu Rev Biophys Biomol Struct 36:395–412
Naganathan AN, Doshi U, Fung A, Sadqi M, Muñoz V (2006) Dynamics, energetics, and structure in protein folding. Biochemistry 45:8466–8475
Yang WY, Gruebele M (2003) Folding at the speed limit. Nature 423:193–197
Muñoz V, Sanchez-Ruiz JM (2004) Exploring protein-folding ensembles: a variable-barrier model for the analysis of equilibrium unfolding experiments. Proc Natl Acad Sci U S A 101:17646–17651
Naganathan AN, Sanchez-Ruiz JM, Muñoz V (2005) Direct measurement of barrier heights in protein folding. J Am Chem Soc 127:17970–17971
Naganathan AN, Perez-Jimenez R, Sanchez-Ruiz JM, Muñoz V (2005) Robustness of downhill folding: guidelines for the analysis of equilibrium folding experiments on small proteins. Biochemistry 44:7435–7449
Muñoz V (2002) Thermodynamics and kinetics of downhill protein folding investigated with a simple statistical mechanical model. Int J Quant Chem 90:1522–1528
Garcia-Mira MM, Sadqi M, Fischer N, Sanchez-Ruiz JM, Muñoz V (2002) Experimental identification of downhill protein folding. Science 298:2191–2195
Sadqi M, Fushman D, Muñoz V (2006) Atom-by-atom analysis of global downhill protein folding. Nature 442:317–321
Fung A, Li P, Godoy-Ruiz R, Sanchez-Ruiz JM, Muñoz V (2008) Expanding the realm of ultrafast protein folding: gpW, a midsize natural single-domain with α+β topology that folds downhill. J Am Chem Soc 130:7489–7495
Sborgi L, Verma A, Piana S, Lindorff-Larsen K, Cerminara M, Santiveri CM, Shaw DE, de Alba E, Muñoz V (2015) Interaction networks in protein folding via atomic-resolution experiments and long-time-scale molecular dynamics simulations. J Am Chem Soc 137:6506–6516
Sborgi L, Verma A, Muñoz V, de Alba E (2011) Revisiting the NMR structure of the ultra-fast downhill folding protein gpW from bacteriophage λ. PLoS One 6:e26409
de Sancho D, Muñoz V (2011) Integrated prediction of protein folding and unfolding rates from only size and structural class. Phys Chem Chem Phys 13:17030–17043
de Alba E, Santoro J, Rico M, Jiménez MA (1999) De novo design of a monomeric three-stranded antiparallel β-sheet. Protein Sci 8:854–865
Marti-Renom MA, Stuart A, Fiser A, Sánchez R, Melo F, Sali A (2000) Comparative protein structure modeling of genes and genomes. Annu Rev Biophys Biomol Struct 29:291–325
Roy A, Kucukural A, Zhang Y (2010) I-TASSER: a unified platform for automated protein structure and function prediction. Nat Protoc 5:725–738
Bax A, Grzesiek S (1993) Methodological advances in protein NMR. Acc Chem Res 26:131–138
Cavanagh J, Fairbrother WJ III, Palmer AG, Rance M, Skelton NJ (1995) Chemical exchange effects in NMR spectroscopy. In: Protein NMR spectroscopy: principles and practice. Academic Press, San Diego, pp 391–404
Delaglio F, Grzesiek S, Vuister GW, Zhu G, Pfeifer J (1995) NMRPipe: a multidimensional spectral processing system based on UNIX pipes. J Biomol NMR 6:277–293
Garret DS, Powers R, Gronenborn AM, Clore GM (1991) A common sense approach to peak picking in two-, three-, and four-dimensional spectra using computer analysis of contour diagrams. J Magn Reson 95:214–220
Goddard TD, Kneller DG (2000) SPARKY 3. University of California, San Francisco
Brandes U, Wagner D (2004) Visone – analysis and visualization of social networks. In: Juenger M, Mutzel P (eds) Graph drawing software. Springer-Verlag, New York, pp 321–340
Amman C, Meier P, Merbach AE (1982) A simple multinuclear NMR thermometer. J Magn Reson 46:319–321
Schanda P, Brutscher B (2005) Very fast two-dimensional NMR spectroscopy for real-time investigation of dynamic events in proteins on the time scale of seconds. J Am Chem Soc 127:8014–8015
Naganathan AN, Muñoz V (2008) Determining denaturation midpoints in multiprobe equilibrium protein folding experiments. Biochemistry 47:6752–6761
Sadqi M, Fushman D, Muñoz V (2007) Structural biology – analysis of protein-folding cooperativity – reply. Nature 445:E17–E18
Acknowledgments
The author acknowledges support from the NSF-CREST Center for Cellular and Biomolecular Machines at the University of California, Merced (NSF-HRD-1547848).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 Springer Science+Business Media, LLC, part of Springer Nature
About this protocol
Cite this protocol
de Alba, E. (2022). NMR Analysis of Protein Folding Interaction Networks. In: Muñoz, V. (eds) Protein Folding. Methods in Molecular Biology, vol 2376. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-1716-8_10
Download citation
DOI: https://doi.org/10.1007/978-1-0716-1716-8_10
Published:
Publisher Name: Humana, New York, NY
Print ISBN: 978-1-0716-1715-1
Online ISBN: 978-1-0716-1716-8
eBook Packages: Springer Protocols