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CLC number: R857.3

On-line Access: 2024-08-27

Received: 2023-10-17

Revision Accepted: 2024-05-08

Crosschecked: 2013-01-23

Cited: 1

Clicked: 8127

Citations:  Bibtex RefMan EndNote GB/T7714

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Journal of Zhejiang University SCIENCE C 2013 Vol.14 No.2 P.118-124

http://doi.org/10.1631/jzus.C1200072


An empirical molecular docking study of a di-iron binding protein with iron ions


Author(s):  Huan Wang, Ping Liu, Hao Xie

Affiliation(s):  School of Computer Science and Technology, Wuhan University of Technology, Wuhan 430070, China; more

Corresponding email(s):   shrekwang1@gmail.com, drxiehao@126.com

Key Words:  AutoDock, Docking, Iron ions, Metalloproteins, Binding modes



Abstract: 
Various molecular docking software packages are available for modeling interactions between small molecules and proteins. However, there have been few reports of modeling the interactions between metal ions and metalloproteins. In this study, the autoDock package was employed to example docking into a di-iron binding protein, bacterioferritin. Each binding site of this protein was tested for docking with iron ions. Blind docking experiments showed that all docking conformations converged into two clusters, one for internal iron binding in sites within the metalloprotein and the other for external iron binding on the protein surface. Local docking experiments showed that there were significant differences between two internal iron binding sites. docking at one site gave a reasonable root-mean-square deviation (RMSD) distribution with relatively low binding energy. Analysis of the binding mode quality for this site revealed that more than half of the docking conformations were categorized as having good binding geometry, while no good conformations were found for the other site. Further investigations indicated that coordinating water molecules contributed to the stability of binding geometries. This study provides an empirical approach towards the study of molecular docking in metalloproteins.

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