Literature DB >> 19485335

BlockMaster: partitioning protein kinase structures using normal-mode analysis.

Marina Shudler1, Masha Y Niv.   

Abstract

Protein kinases are key signaling enzymes which are dysregulated in many health disorders and therefore represent major targets of extensive drug discovery efforts. Their regulation in the cell is exerted via various mechanisms, including control of the 3D conformation of their catalytic domains. We developed a procedure, BlockMaster, for partitioning protein structures into semirigid blocks and flexible regions based on residue-residue correlations calculated from normal modes. BlockMaster provided correct partitioning into domains and subdomains of several test set proteins for which documented expert annotation of subdomains exists. When applied to representative structures of protein kinases, BlockMaster identified semirigid blocks within the traditional N-terminal and C-terminal lobes of the kinase domain. In general, the block regions had elevated helical content and reduced, but significant, coil content compared to the nonblock (flexible) regions. The specificity-determining regions, previously used to derive inhibitory peptides, were found to be more flexible in the tyrosine kinases than in serine/threonine kinases. Two blocks were identified which spanned both lobes. The first, which we termed the "pivot" block, included the alphaC-beta4 loop in the N-terminal lobe and part of the activation loop in the C-terminal lobe and appeared in both the active and inactive conformations of the kinases. The second, which we termed the "loop" block, differed between the active and inactive conformations. In the structures of active kinases, this block included part of the activation loop in the C-terminal lobe and the alphaC helix in the N-terminal lobe, representing a known interaction that stabilizes the active conformation. In the inactive structures, this block included G loop residues instead of the alphaC residues. This novel inactive "loop" block may stabilize the inactive conformation and thus downregulate kinase activity.

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Year:  2009        PMID: 19485335     DOI: 10.1021/jp900885w

Source DB:  PubMed          Journal:  J Phys Chem A        ISSN: 1089-5639            Impact factor:   2.781


  6 in total

1.  Dynamic architecture of a protein kinase.

Authors:  Christopher L McClendon; Alexandr P Kornev; Michael K Gilson; Susan S Taylor
Journal:  Proc Natl Acad Sci U S A       Date:  2014-10-15       Impact factor: 11.205

Review 2.  Protein kinases: evolution of dynamic regulatory proteins.

Authors:  Susan S Taylor; Alexandr P Kornev
Journal:  Trends Biochem Sci       Date:  2010-10-23       Impact factor: 13.807

Review 3.  Dynamics-Driven Allostery in Protein Kinases.

Authors:  Alexandr P Kornev; Susan S Taylor
Journal:  Trends Biochem Sci       Date:  2015-10-21       Impact factor: 13.807

Review 4.  Tuning the "violin" of protein kinases: The role of dynamics-based allostery.

Authors:  Lalima G Ahuja; Susan S Taylor; Alexandr P Kornev
Journal:  IUBMB Life       Date:  2019-05-07       Impact factor: 3.885

5.  Deciphering the Arginine-binding preferences at the substrate-binding groove of Ser/Thr kinases by computational surface mapping.

Authors:  Avraham Ben-Shimon; Masha Y Niv
Journal:  PLoS Comput Biol       Date:  2011-11-17       Impact factor: 4.475

6.  Protein dynamic communities from elastic network models align closely to the communities defined by molecular dynamics.

Authors:  Sambit Kumar Mishra; Robert L Jernigan
Journal:  PLoS One       Date:  2018-06-20       Impact factor: 3.240

  6 in total

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