A new tetrahedral tesselation scheme for isosurface generation

NRC publication: Ye

The crystal structure of the formiminotransferase domain of formiminotransferase-cyclodeaminase : implications for substrate channeling in a bifunctional enzyme

Background: The bifunctional enzyme formiminotransferase-cyclodeaminase (FTCD) contains two active sites at different positions on the protein structure. The enzyme binds a \u3b3-linked polyglutamylated form of the tetrahydrofolate substrate and channels the product of the transferase reaction from the transferase active site to the cyclodeaminase active site. Structural studies of this bifunctional enzyme and its monofunctional domains will provide insight into the mechanism of substrate channeling and the two catalytic reactions. Results: The crystal structure of the formiminotransferase (FT) domain of FTCD has been determined in the presence of a product analog, folinic acid. The overall structure shows that the FT domain comprises two subdomains that adopt a novel \u3b1/\u3b2 fold. Inspection of the folinic acid binding site reveals an electrostatic tunnel traversing the width of the molecule. The distribution of charged residues in the tunnel provides insight into the possible mode of substrate binding and channeling. The electron density reveals that the non-natural stereoisomer, (6R)-folinic acid, binds to the protein; this observation suggests a mechanism for product release. In addition, a single molecule of glycerol is bound to the enzyme and indicates a putative binding site for formiminoglutamate. Conclusions: The structure of the FT domain in the presence of folinic acid reveals a possible novel mechanism for substrate channeling. The position of the folinic acid and a bound glycerol molecule near to the sidechain of His82 suggests that this residue may act as the catalytic base required for the formiminotransferase mechanism.NRC publication: Ye

Regulatory network motifs and hotspots of cancer genes in a mammalian cellular signalling network

Mutations or overexpression of signalling genes can result in cancer development and metastasis. In this study, we manually assembled a human cellular signalling network and developed a robust bioinformatics strategy for extracting cancer-associated single nucleotide polymorphisms (SNPs) using expressed sequence tags (ESTs). We then investigated the relationships of cancer-associated genes [cancer-associated SNP genes, known as cancer genes (CG) and cell mobility genes (CMGs)] in a signalling network context. Through a graph-theory-based analysis, we found that CGs are significantly enriched in network hub proteins and cancer-associated genes are significantly enriched or depleted in some particular network motif types. Furthermore, we identified a substantial number of hotspots, the three- and four-node network motifs in which all nodes are either CGs or CMGs. More importantly, we uncovered that CGs are enriched in the convergent target nodes of most network motifs, although CMGs are enriched in the source nodes of most motifs. These results have implications for the foundations of the regulatory mechanisms of cancer development and metastasis.NRC publication: Ye

Regulatory network motifs and hotspots of cancer genes in a mammalian cellular signalling network

Mutations or overexpression of signalling genes can result in cancer development and metastasis. In this study, we manually assembled a human cellular signalling network and developed a robust bioinformatics strategy for extracting cancer-associated single nucleotide polymorphisms (SNPs) using expressed sequence tags (ESTs). We then investigated the relationships of cancer-associated genes [cancer-associated SNP genes, known as cancer genes (CG) and cell mobility genes (CMGs)] in a signalling network context. Through a graph-theory-based analysis, we found that CGs are significantly enriched in network hub proteins and cancer-associated genes are significantly enriched or depleted in some particular network motif types. Furthermore, we identified a substantial number of hotspots, the three- and four-node network motifs in which all nodes are either CGs or CMGs. More importantly, we uncovered that CGs are enriched in the convergent target nodes of most network motifs, although CMGs are enriched in the source nodes of most motifs. These results have implications for the foundations of the regulatory mechanisms of cancer development and metastasis.NRC publication: Ye