Literature DB >> 28748912

A novel allosteric site in casein kinase 2α discovered using combining bioinformatics and biochemistry methods.

Hai-Ming Jiang1, Jiang-Kai Dong2, Kun Song1, Tong-Dan Wang1, Wen-Kang Huang1, Jing-Miao Zhang1, Xiu-Yan Yang1, Ying Shen2, Jian Zhang1.   

Abstract

Casein kinase 2 (CK2) is a highly pleiotropic serine-threonine kinase, which catalyzed phosphorylation of more than 300 proteins that are implicated in regulation of many cellular functions, such as signal transduction, transcriptional control, apoptosis and the cell cycle. On the other hand, CK2 is abnormally elevated in a variety of tumors, and is considered as a promising therapeutic target. The currently available ATP-competitive CK2 inhibitors, however, lack selectivity, which has impeded their development in cancer therapy. Because allosteric inhibitors can avoid the shortcomings of conventional kinase inhibitors, this study was aimed to discover a new allosteric site in CK2α and to investigate the effects of mutations in this site on the activity of CK2α. Using Allosite based on protein dynamics and structural alignment, we predicted a new allosteric site that was partly located in the αC helix of CK2α. Five residues exposed on the surface of this site were mutated to validate the prediction. Kinetic analyses were performed using a luminescent ADP detection assay by varying the concentrations of a peptide substrate, and the results showed that the mutations I78C and I78W decreased CK2α activity, whereas V31R, K75E, I82C and P109C increased CK2α activity. Potential allosteric pathways were identified using the Monte Carlo path generation approach, and the results of these predicted allosteric pathways were consistent with the mutation analysis. Multiple sequence alignments of CK2α with the other kinases in the family were conducted using the ClustalX method, which revealed the diversity of the residues in the site. In conclusion, we identified a new allosteric site in CK2α that can be altered to modulate the activity of the kinase. Because of the high diversity of the residues in the site, the site can be targeted using rational drug design of specific CK2α inhibitors for biological relevance.

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Year:  2017        PMID: 28748912      PMCID: PMC5719156          DOI: 10.1038/aps.2017.55

Source DB:  PubMed          Journal:  Acta Pharmacol Sin        ISSN: 1671-4083            Impact factor:   6.150


  46 in total

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Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

2.  Equilibrium fluctuations of a single folded protein reveal a multitude of potential cryptic allosteric sites.

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Journal:  Proc Natl Acad Sci U S A       Date:  2012-07-02       Impact factor: 11.205

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Journal:  FEBS Lett       Date:  2010-11-18       Impact factor: 4.124

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Journal:  Biochim Biophys Acta       Date:  2007-08-30

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Journal:  Nat Chem Biol       Date:  2009-08-30       Impact factor: 15.040

Review 6.  Harnessing allostery: a novel approach to drug discovery.

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7.  Turning a protein kinase on or off from a single allosteric site via disulfide trapping.

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Journal:  Cell Mol Life Sci       Date:  2009-06       Impact factor: 9.261

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10.  MCPath: Monte Carlo path generation approach to predict likely allosteric pathways and functional residues.

Authors:  Cihan Kaya; Andac Armutlulu; Solen Ekesan; Turkan Haliloglu
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2.  Identification and Biological Evaluation of CK2 Allosteric Fragments through Structure-Based Virtual Screening.

Authors:  Chunqiong Li; Xuewen Zhang; Na Zhang; Yue Zhou; Guohui Sun; Lijiao Zhao; Rugang Zhong
Journal:  Molecules       Date:  2020-01-06       Impact factor: 4.411

3.  Long non-coding RNA B3GALT5-AS1 contributes to the progression of gastric cancer via interacting with CSNK2A1.

Authors:  Ping Wang; Guang-Bin Sun; Guang-Xian Dou; Bai-Qing Wang
Journal:  Exp Ther Med       Date:  2021-06-30       Impact factor: 2.447

4.  AlloFinder: a strategy for allosteric modulator discovery and allosterome analyses.

Authors:  Min Huang; Kun Song; Xinyi Liu; Shaoyong Lu; Qiancheng Shen; Renxiao Wang; Jingze Gao; Yuanyuan Hong; Qian Li; Duan Ni; Jianrong Xu; Guoqiang Chen; Jian Zhang
Journal:  Nucleic Acids Res       Date:  2018-07-02       Impact factor: 16.971

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