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1

Methionyl-tRNA synthetase.

100%

Deniziak M. A., Barciszewski J.

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2001

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vol. 48

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issue 2

337-350

EN

Methionyl-tRNA synthetase (MetRS) belongs to the family of 20 enzymes essential for protein biosynthesis. It links covalently methionine with its cognate tRNA. Crystal structures solved for bacterial MetRSs have given a number of interesting insights into enzyme architecture and methionylation catalysis. A comparison of sequences of MetRSs belonging to all kingdoms of life, as well as numerous biochemical and genetic studies have revealed the presence of various additional domains appended to the catalytic core of synthetase. They are responsible for interactions with tRNA and proteins. Tertiary structure of C-terminal tRNA-binding appendices can be deduced from those determined for their homologues: tRNA binding protein 111 and endothelial monocyte-activating polypeptide II. Contacts between MetRS and other proteins could be mediated not only by noncatalytic peptides but also by structural elements present in the catalytic core, e.g. Arg-Gly-Asp (RGD) motifs. Additional activities involve MetRS in the maintenance of translational fidelity and in coordination of ribosome biogenesis with protein synthesis.

2

Predicting disease-related genes by topological similarity in human protein-protein interaction network

80%

Zhang L., Hu K., Tang Y.

Open Physics

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2010

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vol. 8

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issue 4

672-682

EN

Predicting genes likely to be involved in human diseases is an important task in bioinformatics field. Nowadays, the accumulation of human protein-protein interactions (PPIs) data provides us an unprecedented opportunity to gain insight into human diseases. In this paper, we adopt the topological similarity in human protein-protein interaction network to predict disease-related genes. As a computational algorithm to speed up the identification of disease-related genes, the topological similarity has substantial advantages over previous topology-based algorithms. First of all, it provides a global measurement of similarity between two vertices. Secondly, quantity which can measure new topological feature has been integrated into the notion of topological similarity. Our method is specially designed for predicting disease-related genes of single disease-gene family. The proposed method is applied to human protein-protein interaction and hepatocellular carcinoma (HCC) data. The results show a significant enrichment of disease-related genes that are characterized by higher topological similarity than other genes.

3

Protein phosphatase 2A: Variety of forms and diversity of functions

61%

Lechward K., Awotunde O. S., Świątek W., Muszyńska G.

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2001

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vol. 48

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issue 4

921-933

EN

Protein phosphatase 2A (PP2A) comprises a diverse family of phosphoserine-and phosphothreonine-specific phosphatases present in all eukaryotic cells. All forms of PP2A contain a catalytic subunit (PP2Ac) which forms a stable complex with the structural subunit PR65/A. The heterodimer PP2Ac-PR65/A associates with regulatory proteins, termed variable subunits, in order to form trimeric holoenzymes attributed with distinct substrate specificity and targeted to different subcellular compartments. PP2Ac activity can be modulated by reversible phosphorylation on Tyr307 and methylation on C-terminal Leu309. Studies on PP2A have shown that this enzyme may be implicated in the regulation of metabolism, transcription, RNA splicing, translation, differentiation, cell cycle, oncogenic transformation and signal transduction.

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2 Acta Biochimica Polonica

1 Open Physics

1 2010

2 2001

1 Awotunde O. S.

1 Barciszewski J.

1 Deniziak M. A.

1 Hu K.

1 Lechward K.

1 Muszyńska G.

1 Tang Y.

1 Zhang L.

1 Świątek W.

Methionyl-tRNA synthetase.

Predicting disease-related genes by topological similarity in human protein-protein interaction network

Protein phosphatase 2A: Variety of forms and diversity of functions