2010
DOI: 10.1186/1472-6807-10-27
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Elucidation of the conformational free energy landscape in H.pylori LuxS and its implications to catalysis

Abstract: BackgroundOne of the major challenges in understanding enzyme catalysis is to identify the different conformations and their populations at detailed molecular level in response to ligand binding/environment. A detail description of the ligand induced conformational changes provides meaningful insights into the mechanism of action of enzymes and thus its function.ResultsIn this study, we have explored the ligand induced conformational changes in H.pylori LuxS and the associated mechanistic features. LuxS, a dim… Show more

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Cited by 23 publications
(27 citation statements)
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“…The optimal interaction cutoff, that can produce adequate graph representations for a wide range of protein structures, was determined as the transition point for the largest connected cluster 77 . According to this definition, the min I value often lies in the range 2-4% for a diverse spectrum of protein systems and molecular complexes [77][78][79][80][81][82] . A similar analysis was conducted in our study.…”
Section: Protein Structure Network Constructionmentioning
confidence: 99%
See 1 more Smart Citation
“…The optimal interaction cutoff, that can produce adequate graph representations for a wide range of protein structures, was determined as the transition point for the largest connected cluster 77 . According to this definition, the min I value often lies in the range 2-4% for a diverse spectrum of protein systems and molecular complexes [77][78][79][80][81][82] . A similar analysis was conducted in our study.…”
Section: Protein Structure Network Constructionmentioning
confidence: 99%
“…Graph-based protein networks that incorporated topology-based residue connectivity and 11 contact maps of residues cross-correlations obtained from MD simulations 77,78 have provided important insights into structural mechanisms underlying allosteric interactions and communication pathways in various protein systems [79][80][81][82][83][84][85] . By using connectivity networks of interacting residues, computational approaches have characterized rigid and flexible regions in protein structures, explaining thermal stability and activity of various proteins [86][87][88] .…”
Section: Introductionmentioning
confidence: 99%
“…A combination of molecular dynamics (MD) simulations and the protein structure network (PSN) analysis using graph-based approaches [93][100] can often identify functionally important structural changes in conformational populations of states. Mapping of the dynamical profiles obtained from GNM and NMA approaches with the protein network parameters) [95][98] can provide the distribution and reorganization of structurally stable residue networks upon ligand or protein binding. Computational studies have employed these dynamic approaches to model molecular mechanisms of allosteric signaling in the molecular chaperones [101][109].…”
Section: Introductionmentioning
confidence: 99%
“…[21] These analogues were thought to be able to bind to one monomer of LuxS protein while blocking the correct association of the second monomer, possibly interfering with dimerization interfaces. [21–23] In theory, for example, the longer the alkyl chain incorporated at C4 position in analogs 18 , the more potent inhibition of dimerization of LuxS might be observed since inhibitor can reach both homodimer parts of the protein. The inhibitor might also block one monomer leading to the alteration of the activity and as a consequence conformational changes of the second monomer.…”
Section: Introductionmentioning
confidence: 99%