Brownian dynamics simulations of interaction between scorpion toxin Lq2 and potassium ion channel - PubMed
Brownian dynamics simulations of interaction between scorpion toxin Lq2 and potassium ion channel
M Cui et al. Biophys J. 2001 Apr.
Abstract
The association of the scorpion toxin Lq2 and a potassium ion (K(+)) channel has been studied using the Brownian dynamics (BD) simulation method. All of the 22 available structures of Lq2 in the Brookhaven Protein Data Bank (PDB) determined by NMR were considered during the simulation, which indicated that the conformation of Lq2 affects the binding between the two proteins significantly. Among the 22 structures of Lq2, only 4 structures dock in the binding site of the K(+) channel with a high probability and favorable electrostatic interactions. From the 4 candidates of the Lq2-K(+) channel binding models, we identified a good three-dimensional model of Lq2-K(+) channel complex through triplet contact analysis, electrostatic interaction energy estimation by BD simulation and structural refinement by molecular mechanics. Lq2 locates around the extracellular mouth of the K(+) channel and contacts the K(+) channel using its beta-sheet rather than its alpha-helix. Lys27, a conserved amino acid in the scorpion toxins, plugs the pore of the K(+) channel and forms three hydrogen bonds with the conserved residues Tyr78(A-C) and two hydrophobic contacts with Gly79 of the K(+) channel. In addition, eight hydrogen-bonds are formed between residues Arg25, Cys28, Lys31, Arg34 and Tyr36 of Lq2 and residues Pro55, Tyr78, Gly79, Asp80, and Tyr82 of K(+) channel. Many of them are formed by side chains of residues of Lq2 and backbone atoms of the K(+) channel. Thirteen hydrophobic contacts exist between residues Met29, Asn30, Lys31 and Tyr36 of Lq2 and residues Pro55, Ala58, Gly79, Asp80 and Tyr82 of the K(+) channel. These favorable interactions stabilize the association between the two proteins. These observations are in good agreement with the experimental results and can explain the binding phenomena between scorpion toxins and K(+) channels at the level of molecular structure. The consistency between the BD simulation and the experimental data indicates that our three-dimensional model of Lq2-K(+) channel complex is reasonable and can be used in further biological studies such as rational design of blocking agents of K(+) channels and mutagenesis in both toxins and K(+) channels.
Similar articles
-
Fu W, Cui M, Briggs JM, Huang X, Xiong B, Zhang Y, Luo X, Shen J, Ji R, Jiang H, Chen K. Fu W, et al. Biophys J. 2002 Nov;83(5):2370-85. doi: 10.1016/S0006-3495(02)75251-X. Biophys J. 2002. PMID: 12414674 Free PMC article.
-
Cui M, Shen J, Briggs JM, Fu W, Wu J, Zhang Y, Luo X, Chi Z, Ji R, Jiang H, Chen K. Cui M, et al. J Mol Biol. 2002 Apr 26;318(2):417-28. doi: 10.1016/S0022-2836(02)00095-5. J Mol Biol. 2002. PMID: 12051848
-
Solution structure of potassium channel-inhibiting scorpion toxin Lq2.
Renisio JG, Lu Z, Blanc E, Jin W, Lewis JH, Bornet O, Darbon H. Renisio JG, et al. Proteins. 1999 Mar 1;34(4):417-26. doi: 10.1002/(sici)1097-0134(19990301)34:4<417::aid-prot1>3.0.co;2-r. Proteins. 1999. PMID: 10081954
-
[Structural basis of the K+ channel inhibition by pore-blocking toxins, revealed by NMR].
Takeuchi K, Shimada I. Takeuchi K, et al. Tanpakushitsu Kakusan Koso. 2005 Aug;50(10 Suppl):1297-302. Tanpakushitsu Kakusan Koso. 2005. PMID: 16104598 Review. Japanese. No abstract available.
-
Zhao Y, Chen Z, Cao Z, Li W, Wu Y. Zhao Y, et al. Molecules. 2019 May 29;24(11):2045. doi: 10.3390/molecules24112045. Molecules. 2019. PMID: 31146335 Free PMC article. Review.
Cited by
-
Fu W, Cui M, Briggs JM, Huang X, Xiong B, Zhang Y, Luo X, Shen J, Ji R, Jiang H, Chen K. Fu W, et al. Biophys J. 2002 Nov;83(5):2370-85. doi: 10.1016/S0006-3495(02)75251-X. Biophys J. 2002. PMID: 12414674 Free PMC article.
-
Molecular dynamics simulations on SDF-1alpha: binding with CXCR4 receptor.
Huang X, Shen J, Cui M, Shen L, Luo X, Ling K, Pei G, Jiang H, Chen K. Huang X, et al. Biophys J. 2003 Jan;84(1):171-84. doi: 10.1016/S0006-3495(03)74840-1. Biophys J. 2003. PMID: 12524273 Free PMC article.
-
Predicting protein interactions by Brownian dynamics simulations.
Meng XY, Xu Y, Zhang HX, Mezei M, Cui M. Meng XY, et al. J Biomed Biotechnol. 2012;2012:121034. doi: 10.1155/2012/121034. Epub 2012 Feb 15. J Biomed Biotechnol. 2012. PMID: 22500075 Free PMC article.
-
Yu K, Fu W, Liu H, Luo X, Chen KX, Ding J, Shen J, Jiang H. Yu K, et al. Biophys J. 2004 Jun;86(6):3542-55. doi: 10.1529/biophysj.103.039461. Biophys J. 2004. PMID: 15189853 Free PMC article.
-
Computational approaches for modeling GPCR dimerization.
Meng XY, Mezei M, Cui M. Meng XY, et al. Curr Pharm Biotechnol. 2014;15(10):996-1006. doi: 10.2174/1389201015666141013102515. Curr Pharm Biotechnol. 2014. PMID: 25307013 Free PMC article. Review.
References
Publication types
MeSH terms
Substances
LinkOut - more resources
Full Text Sources