Dataset Information

Modeling, molecular docking, probing catalytic binding mode of acetyl-CoA malate synthase G in Brucella melitensis 16M.

ABSTRACT: There are enormous evidences and previous reports standpoint that the enzyme of glyoxylate pathway malate synthase G (MSG) is a potential virulence factor in several pathogenic organisms, including Brucella melitensis 16M. Where the lack of crystal structures for best candidate proteins like MSG of B. melitensis 16M creates big lacuna to understand the molecular pathogenesis of brucellosis. In the present study, we have constructed a 3-D structure of MSG of Brucella melitensis 16M in MODELLER with the help of crystal structure of Mycobacterium tuberculosis malate synthase (PDB ID: 2GQ3) as template. The stereo chemical quality of the restrained model was evaluated by SAVES server; remarkably we identified the catalytic functional core domain located at 4th cleft with conserved catalytic amino acids, start at ILE 59 to VAL 586 manifest the function of the protein. Furthermore, virtual screening and docking results reveals that best leadmolecules binds at the core domain pocket of MSG catalytic residues and these ligand leads could be the best prospective inhibitors to treat brucellosis.

SUBMITTER: Adi PJ

PROVIDER: S-EPMC5613768 | biostudies-literature | 2016 Dec

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Modeling, molecular docking, probing catalytic binding mode of acetyl-CoA malate synthase G in Brucella melitensis 16M.

Adi Pradeepkiran Jangampalli PJ Yellapu Nanda Kumar NK Matcha Bhaskar B

Biochemistry and biophysics reports 20160822

There are enormous evidences and previous reports standpoint that the enzyme of glyoxylate pathway malate synthase G (MSG) is a potential virulence factor in several pathogenic organisms, including Brucella melitensis 16M. Where the lack of crystal structures for best candidate proteins like MSG of B. melitensis 16M creates big lacuna to understand the molecular pathogenesis of brucellosis. In the present study, we have constructed a 3-D structure of MSG of Brucella melitensis</ ...[more]

PMID: 28955956

Similar Datasets

Project description:Many pathogenic bacteria use a regulatory process termed Quorum Sensing (QS) to produce and detect small diffusible molecules to synchronize gene expression within a population. In Gram-negative bacteria, the detection and response to these molecules depend on transcriptional regulators belonging to the LuxR family. Such a system have been discovered in the intracellular pathogen Brucella melitensis, a Gram-negative bacteria responsible for brucellosis, a word-wide zoonosis remaining a serious public health concern in endemic countries. Two LuxR-type regulators, VjbR and BabR, have been identified in the genome of this pathogen. The vjbR mutant is highly attenuated in all tested models suggesting a crucial role of QS in the virulence of Brucella. This attenuation is at least due to the involvement of VjbR in the activation of the virB operon coding for a type four secretion system essential for Brucella to reach its intracellular replication compartment. At present, no function has been attributed to BabR. To assess the role of both Brucella QS-regulators, we performed in tandem comparative transcriptomic and proteomic analyses of vjbR and babR mutants. These experiments revealed that 10% of Brucella genome is regulated through those regulators, revealing that QS is a global regulatory system in this intracellular pathogen. The overlapping between BabR and VjbR targets suggest an unexpected cross-talk between these two regulators. Moreover, our results demonstrate that VjbR and BabR regulate many gene and/or proteins involved in stress response, metabolism and virulence. These targets are potentially involved in the adaptation of Brucella to the oxidative, pH and nutritional stresses encountered within the host. These findings highlight the involvement of QS in the virulence of Brucella and led us to suggest that this regulatory system could be implied in the spatial and sequential adaptation of Brucella to the host environment. Keywords: Quorum Sensing, Comparative gene expression, Brucella melitensis

Project description:The zoonotic disease brucellosis, a chronic condition in humans affecting renal and cardiac systems and causing osteoarthritis, is caused by Brucella, a genus of Gram-negative, facultative, intracellular pathogens. The mode of transmission and the virulence of the pathogens are still enigmatic. Transcription regulatory elements, such as rho proteins, play an important role in the termination of transcription and/or the selection of genes in Brucella. Adverse effects of the transcription inhibitors play a key role in the non-successive transcription challenges faced by the pathogens. In the investigation presented here, we computationally predicted the transcription termination factor rho (TtFRho) inhibitors against Brucella melitensis 16M via a structure-based method. In view the unknown nature of its crystal structure, we constructed a robust three-dimensional homology model of TtFRho's structure by comparative modeling with the crystal structure of the Escherichia coli TtFRho (Protein Data Bank ID: 1PVO) as a template in MODELLER (v 9.10). The modeled structure was optimized by applying a molecular dynamics simulation for 2 ns with the CHARMM (Chemistry at HARvard Macromolecular Mechanics) 27 force field in NAMD (NAnoscale Molecular Dynamics program; v 2.9) and then evaluated by calculating the stereochemical quality of the protein. The flexible docking for the interaction phenomenon of the template consists of ligand-related inhibitor molecules from the ZINC (ZINC Is Not Commercial) database using a structure-based virtual screening strategy against minimized TtFRho. Docking simulations revealed two inhibitors compounds - ZINC24934545 and ZINC72319544 - that showed high binding affinity among 2,829 drug analogs that bind with key active-site residues; these residues are considered for protein-ligand binding and unbinding pathways via steered molecular dynamics simulations. Arg215 in the model plays an important role in the stability of the protein-ligand complex via a hydrogen bonding interaction by aromatic-? contacts, and the ADMET (absorption, distribution, metabolism, and excretion) analysis of best leads indicate nontoxic in nature with good potential for drug development.

Dataset Information

Modeling, molecular docking, probing catalytic binding mode of acetyl-CoA malate synthase G in Brucella melitensis 16M.

Publications

Modeling, molecular docking, probing catalytic binding mode of acetyl-CoA malate synthase G in <i>Brucella melitensis</i> 16M.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets