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Updated: May 31, 2025

Structure and Coordination Determination of Peptide-metal Complexes Using 1D and 2D 1H NMR
Published on: December 16, 2013
QM Investigation of Rare Earth Ion Interactions with First Hydration Shell Waters and Protein-Based Coordination
Elizabeth E Wait1, Christopher R Riley2, Monica M Manginell3
1Department of Biomedical Engineering, The University of Texas at Austin, Austin, Texas 78712, United States.
Computational modeling reveals how lanmodulin (LanM) and peptides bind rare earth metals (REMs). This study advances efficient design of REM-binding peptides, offering alternatives to damaging extraction methods.
Area of Science:
- Computational Chemistry and Biochemistry
- Bioinorganic Chemistry
- Materials Science
Background:
- Conventional rare earth metal (REM) extraction is inefficient, costly, and environmentally harmful.
- Lanmodulin (LanM) protein shows high affinity and selectivity for REMs, inspiring novel refinement strategies.
- Understanding REM interactions with biological molecules is crucial for developing new separation technologies.
Purpose of the Study:
- To investigate trivalent lanthanide cation (Ln³⁺) interactions with water and protein binding sites using quantum mechanical (QM) methods.
- To compare computational predictions with experimental data for LanM and a lanthanum-binding peptide (7CCO).
- To explore the potential of computational approaches for designing efficient REM-binding peptides.
Main Methods:
- Employed quantum mechanical (QM) methods, including energy decomposition analysis (EDA), to study Ln³⁺ interactions.
- Utilized quasi-chemical theory (QCT) to calculate relative binding free energies, incorporating explicit first hydration shell waters.
- Modeled bulk solvent effects using an implicit continuum model and compared results with PDB structures (7CCO and LanM).
Main Results:
- EDA revealed distinct energetic contributions of Ln³⁺ interactions with water versus protein binding sites, emphasizing electrostatics and polarization.
- Calculated binding affinities generally increased down the periodic series for both water and protein models, with a slight exception for Lu³⁺.
- The truncated 7CCO model successfully reproduced experimental Ln³⁺ relative binding free energies, validating the computational approach.
Conclusions:
- QM modeling provides valuable insights into Ln³⁺ interactions with biomolecules and bioinspired systems.
- The study demonstrates an effective computational platform for designing specific, single-site REM-binding peptides more efficiently.
- Discrepancies with LanM experimental data suggest the need for models incorporating longer-range interactions and cooperative effects.
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