Name
Abstract | ||
|---|---|---|
This work presents a novel method for the identification of specificity residues in two component sys- tems based on the discovery of graphlet signatures. We use network representations of 3-D structures and sequence of proteins, experimental data and graph-based learning to detect graphlet signatures that potentially are responsible for phosphotranfer specificity between Histidine Kinase (HK) and Response Regulator (RR) domains. This approach is applied to the system of HK and RR in E. coli. Structural regions were found for Histidine Kinases RstB and Response Regulator RstA and confirmed using experimental data. In addition, some hypothetical regions of specificity were proposed to explain cross talk between the HKs that phos- phorylate YhfA and the RRs that interact with UhpB. Such an approach offers the ability to identify domain specificity residues in two component systems in silico. |
Year | Venue | Keywords |
|---|---|---|
2009 | BIOCOMP | domain-domain specificity,graphlets,two component systems,graph-based learning,two component system,histidine kinase |
Field | DocType | Citations |
Phosphorylation,Graph,Histidine,Biochemistry,Crosstalk,Kinase,Chemistry,Histidine kinase,Response regulator,In silico | Conference | 0 |
PageRank | References | Authors |
0.34 | 3 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Faruck Morcos | 1 | 46 | 6.16 |
| Charles Lamanna | 2 | 3 | 1.12 |
| Nitesh Chawla | 3 | 7257 | 345.79 |
| Jesús A. Izaguirre | 4 | 129 | 15.40 |