Literature DB >> 23812948

Homology modeling and structural comparison of leucine rich repeats of Toll like receptors 1-10 of ruminants.

Anandan Swathi1, Gopal Dhinakar Raj, Angamuthu Raja, Krishnaswamy Gopalan Tirumurugaan.   

Abstract

Toll-like receptors (TLRs) are transmembrane receptors composed of extra cellular leucine rich repeats (LRRs) that identify specific pathogen associated molecular patterns triggering a innate immune cascade. The LRR regions of TLR 1-10 proteins of goat (Capra hircus), sheep (Ovis aries), buffalo (Bubalus bubalis) and bovine (Bos taurus) were modeled using MODELLER 9v7 tool and validated. The similarities and variations of these 10 TLRs extracellular regions of each species were compared using online servers like FATCAT, SSM and SSAP. It was evident that the LRRs of TLRs like 1, 2, 3 and 6 showed structural convergence with <1 % RMSD deviation while TLRs like 5, 7, 8 and 9 had high divergence. Docking analysis showed that TLR 2, 3 and 7 of all the selected four ruminant species were able to bind with their corresponding ligands like Peptidoglycan (PGN), Poly I:C, Resiquimod (R-848) and Imiquimod. However, there were variations in the active site regions, interacting residues and the number of bonded interactions. Variations seen among TLR structures and their ligand binding characteristics is likely to be responsible for species and breed specific genetic resistance observed among species or breeds.

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Year:  2013        PMID: 23812948     DOI: 10.1007/s00894-013-1871-3

Source DB:  PubMed          Journal:  J Mol Model        ISSN: 0948-5023            Impact factor:   1.810


  43 in total

1.  Cellular recognition of tri-/di-palmitoylated peptides is independent from a domain encompassing the N-terminal seven leucine-rich repeat (LRR)/LRR-like motifs of TLR2.

Authors:  Guangxun Meng; Alina Grabiec; Mario Vallon; Barbara Ebe; Sabrina Hampel; Wolfgang Bessler; Hermann Wagner; Carsten J Kirschning
Journal:  J Biol Chem       Date:  2003-07-14       Impact factor: 5.157

2.  FATCAT: a web server for flexible structure comparison and structure similarity searching.

Authors:  Yuzhen Ye; Adam Godzik
Journal:  Nucleic Acids Res       Date:  2004-07-01       Impact factor: 16.971

3.  A peptidoglycan monomer with the glutamine to serine change and basic peptides bind in silico to TLR-2 (403-455).

Authors:  Yufeng Li; Clay L Efferson; Rajagopal Ramesh; George E Peoples; Patrick Hwu; Constantin G Ioannides
Journal:  Cancer Immunol Immunother       Date:  2010-12-28       Impact factor: 6.968

4.  Sequence analysis of Toll-like receptor genes 1-10 of goat (Capra hircus).

Authors:  A Raja; A R Vignesh; B Ann Mary; K G Tirumurugaan; G Dhinakar Raj; Ranjith Kataria; B P Mishra; K Kumanan
Journal:  Vet Immunol Immunopathol       Date:  2011-01-13       Impact factor: 2.046

5.  Use of secondary structural information and C alpha-C alpha distance restraints to model protein structures with MODELLER.

Authors:  Boojala V B Reddy; Yiannis N Kaznessis
Journal:  J Biosci       Date:  2007-08       Impact factor: 1.826

Review 6.  The evolution of adaptive immunity.

Authors:  Zeev Pancer; Max D Cooper
Journal:  Annu Rev Immunol       Date:  2006       Impact factor: 28.527

7.  Comprehensive modeling and functional analysis of Toll-like receptor ligand-recognition domains.

Authors:  Andriy V Kubarenko; Satish Ranjan; Elif Colak; Julie George; Martin Frank; Alexander N R Weber
Journal:  Protein Sci       Date:  2010-03       Impact factor: 6.725

8.  Evaluation of comparative protein modeling by MODELLER.

Authors:  A Sali; L Potterton; F Yuan; H van Vlijmen; M Karplus
Journal:  Proteins       Date:  1995-11

9.  Identification of novel innate immune genes by transcriptional profiling of macrophages stimulated with TLR ligands.

Authors:  Ivana V Yang; Weiwen Jiang; Holly R Rutledge; Brad Lackford; Laura A Warg; Lesly De Arras; Scott Alper; David A Schwartz; David S Pisetsky
Journal:  Mol Immunol       Date:  2011-06-12       Impact factor: 4.407

10.  Optimized hydrophobic interactions and hydrogen bonding at the target-ligand interface leads the pathways of drug-designing.

Authors:  Rohan Patil; Suranjana Das; Ashley Stanley; Lumbani Yadav; Akulapalli Sudhakar; Ashok K Varma
Journal:  PLoS One       Date:  2010-08-16       Impact factor: 3.240

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  1 in total

1.  Transcriptome profiling reveals higher vertebrate orthologous of intra-cytoplasmic pattern recognition receptors in grey bamboo shark.

Authors:  Tirumurugaan Krishnaswamy Gopalan; Pradheepa Gururaj; Ravi Gupta; Dhinakar Raj Gopal; Preeti Rajesh; Balachandran Chidambaram; Aravindan Kalyanasundaram; Raja Angamuthu
Journal:  PLoS One       Date:  2014-06-23       Impact factor: 3.240

  1 in total

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