Dynamical networks in tRNA:protein complexes Export

@article{citeulike:4385743, abstract = {10.1073/pnas.0810961106 Community network analysis derived from molecular dynamics simulations is used to identify and compare the signaling pathways in a bacterial glutamyl-tRNA synthetase (GluRS):tRNA and an archaeal leucyl-tRNA synthetase (LeuRS):tRNA complex. Although the 2 class I synthetases have remarkably different interactions with their cognate tRNAs, the allosteric networks for charging tRNA with the correct amino acid display considerable similarities. A dynamic contact map defines the edges connecting nodes (amino acids and nucleotides) in the physical network whose overall topology is presented as a network of communities, local substructures that are highly intraconnected, but loosely interconnected. Whereas nodes within a single community can communicate through many alternate pathways, the communication between monomers in different communities has to take place through a smaller number of critical edges or interactions. Consistent with this analysis, there are a large number of suboptimal paths that can be used for communication between the identity elements on the tRNAs and the catalytic site in the aaRS:tRNA complexes. Residues and nucleotides in the majority of pathways for intercommunity signal transmission are evolutionarily conserved and are predicted to be important for allosteric signaling. The same monomers are also found in a majority of the suboptimal paths. Modifying these residues or nucleotides has a large effect on the communication pathways in the protein:RNA complex consistent with kinetic data.}, author = {Sethi, Anurag and Eargle, John and Black, Alexis A. and Luthey-Schulten, Zaida}, citeulike-article-id = {4385743}, citeulike-linkout-0 = {http://dx.doi.org/10.1073/pnas.0810961106}, citeulike-linkout-1 = {http://www.pnas.org/content/106/16/6620.long.abstract}, citeulike-linkout-2 = {http://www.pnas.org/content/106/16/6620.long.full.pdf}, citeulike-linkout-3 = {http://view.ncbi.nlm.nih.gov/pubmed/19351898}, citeulike-linkout-4 = {http://www.hubmed.org/display.cgi?uids=19351898}, day = {21}, doi = {10.1073/pnas.0810961106}, journal = {Proceedings of the National Academy of Sciences}, keywords = {biology, complex, graph}, month = {April}, number = {16}, pages = {6620--6625}, posted-at = {2009-06-23 08:06:58}, priority = {2}, title = {Dynamical networks in tRNA:protein complexes}, url = {http://dx.doi.org/10.1073/pnas.0810961106}, volume = {106}, year = {2009} }

TY - JOUR ID - citeulike:4385743 L3 - citeulike-article-id:4385743 N2 - 10.1073/pnas.0810961106 Community network analysis derived from molecular dynamics simulations is used to identify and compare the signaling pathways in a bacterial glutamyl-tRNA synthetase (GluRS):tRNA and an archaeal leucyl-tRNA synthetase (LeuRS):tRNA complex. Although the 2 class I synthetases have remarkably different interactions with their cognate tRNAs, the allosteric networks for charging tRNA with the correct amino acid display considerable similarities. A dynamic contact map defines the edges connecting nodes (amino acids and nucleotides) in the physical network whose overall topology is presented as a network of communities, local substructures that are highly intraconnected, but loosely interconnected. Whereas nodes within a single community can communicate through many alternate pathways, the communication between monomers in different communities has to take place through a smaller number of critical edges or interactions. Consistent with this analysis, there are a large number of suboptimal paths that can be used for communication between the identity elements on the tRNAs and the catalytic site in the aaRS:tRNA complexes. Residues and nucleotides in the majority of pathways for intercommunity signal transmission are evolutionarily conserved and are predicted to be important for allosteric signaling. The same monomers are also found in a majority of the suboptimal paths. Modifying these residues or nucleotides has a large effect on the communication pathways in the protein:RNA complex consistent with kinetic data. IS - 16 JF - Proceedings of the National Academy of Sciences EP - 6625 TI - Dynamical networks in tRNA:protein complexes VL - 106 SP - 6620 KW - biology KW - complex KW - graph AU - Sethi, Anurag AU - Eargle, John AU - Black, Alexis AU - Luthey-Schulten, Zaida PY - 2009/04/21/ UR - http://dx.doi.org/10.1073/pnas.0810961106 ER -