Literature DB >> 26248730

Heterogeneous behavior of metalloproteins toward metal ion binding and selectivity: insights from molecular dynamics studies.

Prerana Gogoi1, Monika Chandravanshi1, Suraj Kumar Mandal1, Ambuj Srivastava1, Shankar Prasad Kanaujia1.   

Abstract

About one-third of the existing proteins require metal ions as cofactors for their catalytic activities and structural complexities. While many of them bind only to a specific metal, others bind to multiple (different) metal ions. However, the exact mechanism of their metal preference has not been deduced to clarity. In this study, we used molecular dynamics (MD) simulations to investigate whether a cognate metal (bound to the structure) can be replaced with other similar metal ions. We have chosen seven different proteins (phospholipase A2, sucrose phosphatase, pyrazinamidase, cysteine dioxygenase (CDO), plastocyanin, monoclonal anti-CD4 antibody Q425, and synaptotagmin 1 C2B domain) bound to seven different divalent metal ions (Ca(2+), Mg(2+), Zn(2+), Fe(2+), Cu(2+), Ba(2+), and Sr(2+), respectively). In total, 49 MD simulations each of 50 ns were performed and each trajectory was analyzed independently. Results demonstrate that in some cases, cognate metal ions can be exchanged with similar metal ions. On the contrary, some proteins show binding affinity specifically to their cognate metal ions. Surprisingly, two proteins CDO and plastocyanin which are known to bind Fe(2+) and Cu(2+), respectively, do not exhibit binding affinity to any metal ion. Furthermore, the study reveals that in some cases, the active site topology remains rigid even without cognate metals, whereas, some require them for their active site stability. Thus, it will be interesting to experimentally verify the accuracy of these observations obtained computationally. Moreover, the study can help in designing novel active sites for proteins to sequester metal ions particularly of toxic nature.

Entities:  

Keywords:  active site design; heavy metal ions; molecular dynamics simulation; protein engineering; sequestering toxic metals

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Year:  2015        PMID: 26248730     DOI: 10.1080/07391102.2015.1080629

Source DB:  PubMed          Journal:  J Biomol Struct Dyn        ISSN: 0739-1102


  2 in total

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Authors:  Xiaojuan Hu; Maja-Olivia Lenz-Himmer; Carsten Baldauf
Journal:  Sci Data       Date:  2022-06-17       Impact factor: 8.501

2.  Computational analysis of the metal selectivity of matrix metalloproteinase 8.

Authors:  Zheng Long
Journal:  PLoS One       Date:  2020-12-04       Impact factor: 3.240

  2 in total

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