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Updated: Apr 25, 2026

Thermochemical Studies of NiII and ZnII Ternary Complexes Using Ion Mobility-Mass Spectrometry
Published on: June 8, 2022
Modeling Zn²⁺ release from metallothionein.
C Satheesan Babu1, Yu-Ming Lee, Todor Dudev
1Institute of Biomedical Sciences, Academia Sinica , Taipei 115, Taiwan , R.O.C.
Understanding how metallothioneins (MTs) release zinc (Zn2+) is key for disease research. This study developed a computational method to calculate Zn2+ release free energies, revealing the protein matrix
Area of Science:
- Biochemistry
- Computational Biology
- Biophysics
Background:
- Mammalian metallothioneins (MTs) are crucial for zinc (Zn2+) homeostasis, storing and donating Zn2+ to metalloproteins.
- MTs are implicated in various diseases, making their Zn2+ release mechanisms a significant research area.
Purpose of the Study:
- To develop and validate a computational strategy for calculating the free energy of Zn2+ release from MTs.
- To investigate the differential Zn2+ release propensities of MT domains and the role of the protein matrix.
Main Methods:
- Combined classical molecular dynamics (MD) simulations, quantum-mechanics/molecular-mechanics (QM/MM) minimizations, and continuum dielectric calculations.
- Calculated free energies for Zn2+ release from MTs in the presence and absence of the protein matrix.
Main Results:
- The computational method accurately reproduced experimental findings on differential Zn2+ binding affinities and domain-specific release rates.
- The study quantified the free energies of Zn2+ release, highlighting the influence of the protein matrix, dynamics, and conformational changes.
- The β domain showed lower thermodynamic stability and faster Zn2+ release with oxidizing agents compared to the α domain.
Conclusions:
- The protein matrix, protein dynamics, and coupled conformational changes are critical factors influencing the differential Zn2+ release from MT domains.
- The developed computational approach provides a valuable tool for studying Zn2+ dynamics in MTs and related biological processes.
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