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Molecular modeling-based evaluation of hTLR10 and identification of potential ligands in Toll-like receptor signaling.

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dc.contributor.authorGovindaraj, RG-
dc.contributor.authorManavalan, B-
dc.contributor.authorLee, G-
dc.contributor.authorChoi, S-
dc.date.accessioned2011-05-31T02:50:34Z-
dc.date.available2011-05-31T02:50:34Z-
dc.date.issued2010-
dc.identifier.urihttp://repository.ajou.ac.kr/handle/201003/2744-
dc.description.abstractToll-like receptors (TLRs) are pattern recognition receptors that recognize pathogens based on distinct molecular signatures. The human (h)TLR1, 2, 6 and 10 belong to the hTLR1 subfamilies, which are localized in the extracellular regions and activated in response to diverse ligand molecules. Due to the unavailability of the hTLR10 crystal structure, the understanding of its homo and heterodimerization with hTLR2 and hTLR1 and the ligand responsible for its activation is limited. To improve our understanding of the TLR10 receptor-ligand interaction, we used homology modeling to construct a three dimensional (3D) structure of hTLR10 and refined the model through molecular dynamics (MD) simulations. We utilized the optimized structures for the molecular docking in order to identify the potential site of interactions between the homo and heterodimer (hTLR10/2 and hTLR10/1). The docked complexes were then used for interaction with ligands (Pam(3)CSK(4) and PamCysPamSK(4)) using MOE-Dock and ASEDock. Our docking studies have shown the binding orientations of hTLR10 heterodimer to be similar with other TLR2 family members. However, the binding orientation of hTLR10 homodimer is different from the heterodimer due to the presence of negative charged surfaces at the LRR11-14, thereby providing a specific cavity for ligand binding. Moreover, the multiple protein-ligand docking approach revealed that Pam(3)CSK(4) might be the ligand for the hTLR10/2 complex and PamCysPamSK(4,) a di-acylated peptide, might activate hTLR10/1 hetero and hTLR10 homodimer. Therefore, the current modeled complexes can be a useful tool for further experimental studies on TLR biology.-
dc.language.isoen-
dc.subject.MESHAmino Acid Sequence-
dc.subject.MESHBinding Sites-
dc.subject.MESHDimerization-
dc.subject.MESHHumans-
dc.subject.MESHLigands-
dc.subject.MESHLipopeptides-
dc.subject.MESHModels, Molecular-
dc.subject.MESHMolecular Sequence Data-
dc.subject.MESHProtein Binding-
dc.subject.MESHProtein Stability-
dc.subject.MESHProtein Structure, Tertiary-
dc.subject.MESHSequence Alignment-
dc.subject.MESHSignal Transduction-
dc.subject.MESHToll-Like Receptor 1-
dc.subject.MESHToll-Like Receptor 10-
dc.subject.MESHToll-Like Receptor 2-
dc.titleMolecular modeling-based evaluation of hTLR10 and identification of potential ligands in Toll-like receptor signaling.-
dc.typeArticle-
dc.identifier.pmid20877634-
dc.identifier.urlhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC2943521/-
dc.contributor.affiliatedAuthor이, 광-
dc.type.localJournal Papers-
dc.identifier.doi10.1371/journal.pone.0012713-
dc.citation.titlePloS one-
dc.citation.volume5-
dc.citation.number9-
dc.citation.date2010-
dc.citation.startPagee12713-
dc.citation.endPagee12713-
dc.identifier.bibliographicCitationPloS one, 5(9). : e12713-e12713, 2010-
dc.identifier.eissn1932-6203-
dc.relation.journalidJ019326203-
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Journal Papers > School of Medicine / Graduate School of Medicine > Physiology
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