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Interaction energies between metal ions (Zn2+ and Cd2+) and biologically relevant ligands
Linnaeus University, Faculty of Health and Life Sciences, Department of Chemistry and Biomedical Sciences. (CCBG;Lnuc BMC)
Uppsala University.
Uppsala University.
Linnaeus University, Faculty of Health and Life Sciences, Department of Chemistry and Biomedical Sciences. (CCBG;Lnuc BMC)ORCID iD: 0000-0001-8696-3104
2013 (English)In: International Journal of Quantum Chemistry, ISSN 0020-7608, E-ISSN 1097-461X, Vol. 113, no 23, p. 2554-2562Article in journal (Refereed) Published
Abstract [en]

Interactions between the group XII metals Zn2+ and Cd2+ and amino acid residues play an important role in biology due to the prevalence of the first and the toxicity of the second. Estimates of the interaction energies between the ions and relevant residues in proteins are however difficult to obtain. This study reports on calculated interaction energy curves for small complexes of Zn2+ or Cd2+ and amino acid mimics (acetate, methanethiolate, and imidazole) or water. Given that many applications and models (e.g., force fields, solvation models, etc.) begin with and rely on an accurate description of gas-phase interaction energies, this is where our focus lies in this study. Four density functional theory (DFT)-functionals and MP2 were used to calculate the interaction energies not only at the respective equilibrium distances but also at a relevant range of ion–ligand separation distances. The calculated values were compared with those obtained by CCSD(T). All DFT-methods are found to overestimate the magnitude of the interaction energy compared to the CCSD(T) reference values. The deviation was analyzed in terms of energy components from localized molecular orbital energy decomposition analysis scheme and is mostly attributed to overestimation of the polarization energy. MP2 shows good agreement with CCSD(T) [root mean square error (RMSE) = 1.2 kcal/mol] for the eight studied complexes at equilibrium distance. Dispersion energy differences at longer separation give rise to increased deviations between MP2 and CCSD(T) (RMSE = 6.4 kcal/mol at 3.0 Å). Overall, the results call for caution in applying DFT methods to metalloprotein model complexes even with closed-shell metal ions such as Zn2+ and Cd2+, in particular at ion–ligand separations that are longer than the equilibrium distances.

Place, publisher, year, edition, pages
2013. Vol. 113, no 23, p. 2554-2562
Keywords [en]
zinc, dissociation energy curve, localized molecular orbital energy decomposition analysis, density functional theory, cadmium
National Category
Theoretical Chemistry
Research subject
Chemistry, Organic Chemistry
Identifiers
URN: urn:nbn:se:lnu:diva-30513DOI: 10.1002/qua.24506ISI: 000326290000008Scopus ID: 2-s2.0-84886408253OAI: oai:DiVA.org:lnu-30513DiVA, id: diva2:665241
Projects
Metal ions in lifeAvailable from: 2013-11-19 Created: 2013-11-19 Last updated: 2025-09-23Bibliographically approved
In thesis
1. Metal ions in life: towards accurate computer-aided studies ofprotein-ion interactions
Open this publication in new window or tab >>Metal ions in life: towards accurate computer-aided studies ofprotein-ion interactions
2018 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

The importance of ions in life sciences can not be overstated. The interaction betweenmetal ions and proteins is vital because it is involved in a variety of biological processes.The ions contribute to stability and function of proteins. Moreover, they are relevant indisease progression.Realistic computer simulations pave the way for drug development, through providingdetailed insights into the dynamics of proteins and various biological processes thatoccur in the body. Such information can be impossible to achieve through experimentsof living subjects in vivo or from test tube experiments in vitro alone. However,theoretical methods have to result in accurate predictions. In my thesis, I studieddifferent ways to handle the ions in simulations. Since the systems contain thousands ofatoms the calculations are demanding. Despite the availability of computer clusters, thecom putational capacity is not sufficient. I have examined the simplified models used insimulations of larger systems (e.g., whole proteins) to pave the way for improvements ofthe simulation models.Different ions have different effects on biochemical systems and it is important to beable to distinguish between them. Thus, from a biochemical point of view, it is centralto be able to describe their unique characteristics. Their difference can be from vital totoxic to the body. Zinc is essential and present in more than 3000 proteins in our bodyand has a very flexible interaction with proteins. This property has proved to be hard toreproduce in computer simulations. Cadmium can replace zinc, but is toxic because itdoes not have the same catalytic ability. From a modelling perspective do these ions havesimilar characteristics as they have the same ionic charge. Inclusion of more realisticelectron effects may be necessary to be able to simulate the difference.With my studies, I have contributed towards a better understanding of the interactionsbetween metal ions and proteins. I have pointed out a direction for further improvementof methods for simulations of large systems.For the same purpose, I have also studied the frequently occurring ions sodium andpotassium found as salts in all body fluids, but also lithium belonging to the same groupin the periodic table and used in therapeutic purposes. The results show that potassiumand sodium can be simulated by a commonly used computational approach, whereasmore advanced methods are required to study lithium ions accurately.Overall, the work within this thesis has explored ion-protein interactions and providedinformation about methods for energy calculations and models for molecular dynamicssimulations for some of the most important ions within biochemistry.

Place, publisher, year, edition, pages
Linnaeus University Press, 2018. p. 93
Series
Linnaeus University Dissertations ; 312
National Category
Biochemistry Molecular Biology
Research subject
Chemistry, Biochemistry
Identifiers
urn:nbn:se:lnu:diva-108682 (URN)9789188761378 (ISBN)9789188761385 (ISBN)
Available from: 2021-12-17 Created: 2021-12-17 Last updated: 2025-02-20Bibliographically approved

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Publisher's full textScopushttp://onlinelibrary.wiley.com/doi/10.1002/qua.24506/

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Ahlstrand, EmmaFriedman, Ran

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