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      Molecular modeling and docking characterization of CzR1, a CC-NBS-LRR R-gene from Curcuma zedoaria Loeb. that confers resistance to Pythium aphanidermatum

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          Abstract

          Plant NBS-LRR R-genes recognizes several pathogen associated molecular patterns (PAMPs) and limit pathogen infection through a multifaceted defense response. CzR1, a coiled-coil-nucleotide-binding-site-leucine-rich repeat R-gene isolated from Curcuma zedoaria L exhibit constitutive resistance to different strains of P. aphanidermatum. Majority of the necrotrophic oomycetes are characterized by the presence of carbohydrate PAMPs β-glucans in their cell walls which intercat with R-genes. In the present study, we predicted the 3D (three dimensional) structure of CzR1 based on homology modeling using the homology module of Prime through the Maestro interface of Schrodinger package ver 2.5. The docking investigation of CzR1 with β-glucan using the Glide software suggests that six amino acid residues, Ser186, Glu187, Ser263, Asp264, Asp355 and Tyr425 act as catalytic residues and are involved in hydrogen bonding with ligand β-(1,3)-D-Glucan. The calculated distance between the carboxylic oxygen atoms of Glu187–Asp355 pair is well within the distance of 5Å suggesting a positive glucanase activity of CzR1. Elucidation of these molecular characteristics will help in in silico screening and understanding the structural basis of ligand binding to CzR1 protein and pave new ways towards a broad spectrum rhizome rot resistance development in the cultivated turmeric.

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          Most cited references15

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          LIGPLOT: a program to generate schematic diagrams of protein-ligand interactions.

          The LIGPLOT program automatically generates schematic 2-D representations of protein-ligand complexes from standard Protein Data Bank file input. The output is a colour, or black-and-white, PostScript file giving a simple and informative representation of the intermolecular interactions and their strengths, including hydrogen bonds, hydrophobic interactions and atom accessibilities. The program is completely general for any ligand and can also be used to show other types of interaction in proteins and nucleic acids. It was designed to facilitate the rapid inspection of many enzyme complexes, but has found many other applications.
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            VERIFY3D: assessment of protein models with three-dimensional profiles.

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              Empirical scoring functions: I. The development of a fast empirical scoring function to estimate the binding affinity of ligands in receptor complexes.

              This paper describes the development of a simple empirical scoring function designed to estimate the free energy of binding for a protein-ligand complex when the 3D structure of the complex is known or can be approximated. The function uses simple contact terms to estimate lipophilic and metal-ligand binding contributions, a simple explicit form for hydrogen bonds and a term which penalises flexibility. The coefficients of each term are obtained using a regression based on 82 ligand-receptor complexes for which the binding affinity is known. The function reproduces the binding affinity of the complexes with a cross-validated error of 8.68 kJ/mol. Tests on internal consistency indicate that the coefficients obtained are stable to changes in the composition of the training set. The function is also tested on two test sets containing a further 20 and 10 complexes, respectively. The deficiencies of this type of function are discussed and it is compared to approaches by other workers.
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                Author and article information

                Journal
                Bioinformation
                Bioinformation
                Bioinformation
                Bioinformation
                Biomedical Informatics
                0973-8894
                0973-2063
                2013
                29 June 2013
                : 9
                : 11
                : 560-564
                Affiliations
                [1 ]Centre of Biotechnology, Siksha O Anusandhan University, Bhubaneswar-751003, India
                [2 ]Dept. of Biotechnology and Bioinformatics, Jaypee University of Information Technology, Waknaghat, Solan, Himachal Pradesh, India
                Author notes
                [* ]Raj Kumar Joshi: rajkumar.joshi@ 123456yahoo.co.in Phone: 09437684176
                Article
                97320630009560
                10.6026/97320630009560
                3717183
                23888096
                2f7e018b-e91a-40e9-8c18-bc8b925c1f21
                © 2013 Biomedical Informatics

                This is an open-access article, which permits unrestricted use, distribution, and reproduction in any medium, for non-commercial purposes, provided the original author and source are credited.

                History
                : 25 May 2013
                : 27 May 2013
                Categories
                Hypothesis

                Bioinformatics & Computational biology
                curcuma zedoaria,pythium aphanidermatum,cc-nbs-lrr,molecular docking,β-(1, 3)-d-glucan

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