The Discovery of Direct Noncovalent Bonded Interaction between Keap1 and Diethyl Maleate through Molecular Dynamics Simulations

Article Preview

Abstract:

Keap1 negatively regulates the function of Nrf2 that is a major activator of genes encoding phase 2 detoxifying enzymes via sequestering cytoplasmic Nrf2 and subsequent degradation through the proteasome system. Reactive cysteine residues of Keap1 could be modified by Michael reaction acceptor molecules. Previous studies have shown that adduction at Cys151 by diethyl maleate (DEM) can give rise to a significant conformational change in Keap1 that leads to the dissociation of Keap1 from CUL3, hence inhibits Nrf2 ubiquitylation. The BTB domain of Keap1 plays a crucial role in both forming self-dimerization and binding to CUL3. In order to better understanding the molecular mechanism how DEM interact with amino acid residues around Cys151, we performed two molecular dynamics (MD) simulations including Keap1-DEM complex and Keap1 alone (control group). Interestingly, we found that after a short period of lingering around Cys151, DEM ultimately stabilized in a gap between two specific helixes away from the cavity around Cys151 and induced a concomitant significant conformational change of BTB domain of Keap1. Similar phenomenon, however, was not observed in the control group. These results suggested that DEM could impair the normal function of Keap1 by inducing the conformational change of BTB domain via direct noncovalent bonded interaction. Our research provides a new insight into another way of interaction between Keap1 and DEM in spite of their known Michael addition reaction, by which novel phase2 enzyme inducer drugs with higher specificity could be discovered in the future

You might also be interested in these eBooks

Info:

Periodical:

Pages:

260-265

Citation:

Online since:

July 2012

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2012 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] K. Itoh, N. Wakabayashi, et al: Genes&Development. vol. 13 (1999), pp.76-86.

Google Scholar

[2] Kobayashi, A., M. I. Kang, et al: Molecular and Cellular Biology. vol. 24 (2004), pp.7130-7139.

Google Scholar

[3] Zhang, D. D., S. C. Lo, et al: Molecular and Cellular Biology. vol. 24 (2004), pp.10941-10953.

Google Scholar

[4] Furukawa, M. and Y. Xiong: Molecular and Cellular Biology. vol. 25 (2004), pp.162-171.

Google Scholar

[5] Kang, M. I: Proceedings of the National Academy of Sciences. vol. 101 (2004), p.2046-(2051).

Google Scholar

[6] Sekhar, K. R., G. Rachakonda, et al: Toxicol Appl Pharmacol. vol. 244 (2010), pp.21-26.

Google Scholar

[7] Yamamoto, T., T. Suzuki, et al: Mol Cell Biol. vol. 28 (2008), pp.2758-2770.

Google Scholar

[8] Wakabayashi, N: Proceedings of the National Academy of Sciences. vol. 101 (2004), p.2040-(2045).

Google Scholar

[9] Kobayashi, M., L. Li, et al: Molecular and Cellular Biology. vol. 29 (2008), pp.493-502.

Google Scholar

[10] Laurie M. Zipper and R. Timothy Mulcahy: The Journal of Biological Chemistry. vol. 277 (2002), pp.36544-36552.

Google Scholar

[11] Lu X., Chen S., Zhang Y., et al: 2011 international conference on remote sensing, environment and transportation engineering (RSETE 2011). Vol. 9, pp.7863-7866.

Google Scholar

[12] Michel, F. S. P. Python: a programming language for software integration and development., J Mol Graph Model. vol. 17 (1999), pp.57-61.

Google Scholar

[13] James, C. P., Rosemary, B., et al: Journal of Computational Chemistry. vol. 26 (2005), pp.1781-1802.

Google Scholar

[14] W. Humphrey, A. Dalke, and K. Schulten. VMD: visual molecular dynamics., Journal of molecular graphics. vol. 14 (1996), pp.33-38.

DOI: 10.1016/0263-7855(96)00018-5

Google Scholar

[15] DeLano, W. L. The PyMOL Molecular Graphics System (2002) DeLano Scientific, San Carlos, CA, USA. http: /www. pymol. org.

Google Scholar

[16] Eggler, A. L., E. Small, et al: Biochem J. vol. 422 (2009), pp.171-180.

Google Scholar