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Computational Insights into the Interactions Between Calmodulin and the C/nSH2 Domains of P85α Regulatory Subunit of PI3Kα: Implication for PI3Kα Activation by Calmodulin

Overview
Journal Int J Mol Sci
Publisher MDPI
Date 2018 Jan 5
PMID 29300353
Citations 8
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Abstract

Calmodulin (CaM) and phosphatidylinositide-3 kinase (PI3Kα) are well known for their multiple roles in a series of intracellular signaling pathways and in the progression of several human cancers. Crosstalk between CaM and PI3Kα has been an area of intensive research. Recent experiments have shown that in adenocarcinoma, K-Ras4B is involved in the CaM-PI3Kα crosstalk. Based on experimental results, we have recently put forward a hypothesis that the coordination of CaM and PI3Kα with K-Ras4B forms a CaM-PI3Kα-K-Ras4B ternary complex, which leads to the formation of pancreatic ductal adenocarcinoma. However, the mechanism for the CaM-PI3Kα crosstalk is unresolved. Based on molecular modeling and molecular dynamics simulations, here we explored the potential interactions between CaM and the c/nSH2 domains of p85α subunit of PI3Kα. We demonstrated that CaM can interact with the c/nSH2 domains and the interaction details were unraveled. Moreover, the possible modes for the CaM-cSH2 and CaM-nSH2 interactions were uncovered and we used them to construct a complete CaM-PI3Kα complex model. The structural model of CaM-PI3Kα interaction not only offers a support for our previous ternary complex hypothesis, but also is useful for drug design targeted at CaM-PI3Kα protein-protein interactions.

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References
1.
Babu Y, Bugg C, Cook W . Structure of calmodulin refined at 2.2 A resolution. J Mol Biol. 1988; 204(1):191-204. DOI: 10.1016/0022-2836(88)90608-0. View

2.
Tidow H, Nissen P . Structural diversity of calmodulin binding to its target sites. FEBS J. 2013; 280(21):5551-65. DOI: 10.1111/febs.12296. View

3.
Lu S, Zhang J . Designed covalent allosteric modulators: an emerging paradigm in drug discovery. Drug Discov Today. 2016; 22(2):447-453. DOI: 10.1016/j.drudis.2016.11.013. View

4.
Lu S, Li S, Zhang J . Harnessing allostery: a novel approach to drug discovery. Med Res Rev. 2014; 34(6):1242-85. DOI: 10.1002/med.21317. View

5.
Duan Y, Wu C, Chowdhury S, Lee M, Xiong G, Zhang W . A point-charge force field for molecular mechanics simulations of proteins based on condensed-phase quantum mechanical calculations. J Comput Chem. 2003; 24(16):1999-2012. DOI: 10.1002/jcc.10349. View