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Updated: Jan 16, 2026

Structure and Coordination Determination of Peptide-metal Complexes Using 1D and 2D 1H NMR
Published on: December 16, 2013
Understanding the Binding and Structures in Model Complexes of Polypeptides and Cofactors.
Yinan Li1,2, Kenny K Y Lun2, Justin Kai-Chi Lau3,4
1Center for Mass Spectrometry Research and Clinical Application, Shandong Public Health Clinical Center Affiliated to Shandong University, 46 Lishan Road, Shandong, Jinan 250012, China.
Metal-ligand-peptide complexes exhibit diverse structures. Their chemistry is explained by acid-base principles and hard/soft Lewis acid/base concepts, revealing predictable binding pathways.
Area of Science:
- Bioinorganic Chemistry
- Coordination Chemistry
- Chemical Physics
Background:
- Metalloproteins feature diverse structures and chemistries due to competitive binding between metal cofactors and polypeptide functional groups.
- Understanding these interactions is crucial for deciphering metalloprotein function and designing novel metal-based therapeutics.
Purpose of the Study:
- To investigate competitive binding in model [metal-(auxiliary ligand)-(peptide)] complexes.
- To elucidate the structural diversity and fragmentation mechanisms of these complexes using various analytical techniques.
Main Methods:
- Synthesis and characterization of metal complexes with auxiliary ligands (terpy, salen) and peptides (arginine-tyrosine (RY), arginine-tyrosine-glycine (RYG)).
- Tandem mass spectrometry (MS/MS) with and without peptide derivatization/substitution.
- Density functional theory (DFT) calculations.
- Infrared multiple-photon dissociation (IRMPD) spectroscopy.
Main Results:
- Complex dissociation yielded abundant peptide radical cations ([RY]•+ and [RYG]•+) with structures dependent on the metal complex composition.
- DFT calculations provided insights into binding modes and fragmentation mechanisms.
- IRMPD spectroscopy confirmed carboxylate binding for [Cu-(terpy)-RYG]2+, with DFT showing facile conversion to a phenolate-bound structure.
Conclusions:
- The complex chemistry, despite its apparent complexity, can be rationalized using fundamental acid-base chemistry and hard/soft Lewis acid/base (HSLAB) principles.
- Experimental and computational results align, supporting the predictive power of these chemical concepts.
- Energy minimization pathways involving multiple functional groups drive the rich structural diversity observed in these metal-peptide complexes.
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