Literature DB >> 17046812

Mapping ERK2-MKP3 binding interfaces by hydrogen/deuterium exchange mass spectrometry.

Bo Zhou1, Jialin Zhang, Sijiu Liu, Sharanya Reddy, Fang Wang, Zhong-Yin Zhang.   

Abstract

ERK2, a prototypic member of the MAPK family, plays a central role in regulating cell growth and differentiation. MKP3, an ERK2-specific phosphatase, terminates ERK2 signaling. To understand the molecular basis of ERK2 recognition by MKP3, we carried out hydrogen/deuterium exchange mass spectrometry experiments to map the interaction surfaces between the two proteins. The results show that the exquisite specificity of MKP3 for ERK2 is governed by two distinctive protein-protein interactions. To increase the "effective concentration" of the interacting molecules, the kinase interaction motif in MKP3 ((64)RRLQKGNLPVR(74)) and an MKP3-specific segment ((101)NSSDWNE(107)) bind the common docking site in ERK2 defined by residues in L(16), L(5), beta(7)-beta(8), and alpha(d)-L(8)-alpha(e), located opposite the kinase active site. In addition to this "tethering" effect, additional interactions between the (364)FTAP(367) sequence in MKP3 and the ERK2 substrate-binding site, formed by residues in the activation lip and the P+1 site (beta(9)-alpha(f) loop), L(13) (alpha(f)-alpha(g) loop), and the MAPK insert (L(14)-alpha(1L14)-alpha(2L14)), are essential for allosteric activation of MKP3 and formation of a productive complex whereby the MKP3 catalytic site is correctly juxtaposed to carry out the dephosphorylation of phospho-Thr(183)/phospho-Tyr(185) in ERK2. This bipartite protein-protein interaction model may be applicable to the recognition of other MAPKs by their cognate regulators and substrates.

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Year:  2006        PMID: 17046812     DOI: 10.1074/jbc.M608916200

Source DB:  PubMed          Journal:  J Biol Chem        ISSN: 0021-9258            Impact factor:   5.157


  24 in total

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Review 10.  Toward a molecular understanding of the interaction of dual specificity phosphatases with substrates: insights from structure-based modeling and high throughput screening.

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