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iHADAMAC: a complementary tool for sequential resonance assignment of globular and highly disordered proteins
Sophie Feuerstein1, Michael J Plevin, Dieter Willbold
1Institut de Biologie Structurale, Université Grenoble 1, 41 rue Jules Horowitz, 38027 Grenoble Cedex 1, France.
Journal of Magnetic Resonance (San Diego, Calif. : 1997)
|November 30, 2011
Summary
The iHADAMAC experiment identifies protein amino-acid types using Hadamard encoding. This method aids in assigning protein resonances, especially for complex, disordered proteins like the Hepatitis C virus NS5A fragment.
Area of Science:
- Biochemistry
- Structural Biology
- Nuclear Magnetic Resonance (NMR) Spectroscopy
Background:
- Protein resonance assignment is crucial for structural and functional studies.
- Intrinsically disordered proteins (IDPs) present challenges due to high spectral degeneracy.
- Existing NMR methods may struggle with complex assignments in such systems.
Purpose of the Study:
- To introduce and validate the iHADAMAC experiment for protein residue-specific amino acid type identification.
- To demonstrate the utility of iHADAMAC in facilitating resonance assignment for proteins with high frequency degeneracy.
- To showcase the application of iHADAMAC on a challenging intrinsically disordered protein fragment.
Main Methods:
- Utilizing a Hadamard encoding scheme with four distinct spin manipulations.
- Editing (1)H-(15)N correlation spectra into seven classes based on amino acid types.
- Applying both sequential and intra-residue iHADAMAC experiments.
Main Results:
- Successful discrimination of amino acid types for individual protein residues.
- Generation of complementary information from sequential and intra-residue HADAMAC experiments.
- Facilitated resonance assignment for a 188-residue intrinsically disordered protein fragment of Hepatitis C virus NS5A.
Conclusions:
- The iHADAMAC experiment provides valuable information for amino acid type identification.
- This method significantly aids in overcoming resonance assignment challenges in proteins with high frequency degeneracy.
- iHADAMAC is a powerful tool for studying complex protein systems, including intrinsically disordered proteins.
