Computational simulations to predict creatine kinase-associated factors: protein-protein interaction studies of brain and muscle types of creatine kinases

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Title
Computational simulations to predict creatine kinase-associated factors: protein-protein interaction studies of brain and muscle types of creatine kinases
Author(s)
W J Hu; S M Zhou; Joshua Yang; F G Meng
Bibliographic Citation
Enzyme Research, vol. 2011, pp. 328249-328249
Publication Year
2011
Abstract
Creatine kinase (CK; EC 2.7.3.2) is related to several skin diseases such as psoriasis and dermatomyositis. CK is important in skin energy homeostasis because it catalyzes the reversible transfer of a phosphoryl group from MgATP to creatine. In this study, we predicted CK binding proteins via the use of bioinformatic tools such as protein-protein interaction (PPI) mappings and suggest the putative hub proteins for CK interactions. We obtained 123 proteins for brain type CK and 85 proteins for muscle type CK in the interaction networks. Among them, several hub proteins such as NFKB1, FHL2, MYOC, and ASB9 were predicted. Determination of the binding factors of CK can further promote our understanding of the roles of CK in physiological conditions. ⓒ 2011 Wei-Jiang Hu et al.
ISSN
2090-0406
Full Text Link
http://dx.doi.org/10.4061/2011/328249
Type
Article
Appears in Collections:
1. Journal Articles > Journal Articles
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