scholarly journals In silico characterization and structural modeling of bacterial metalloprotease of family M4

Author(s):  
Rajnee Hasan ◽  
Md. Nazmul Haq Rony ◽  
Rasel Ahmed

Abstract Background The M4 family of metalloproteases is comprised of a large number of zinc-containing metalloproteases. A large number of these enzymes are important virulence factors of pathogenic bacteria and therefore potential drug targets. Whereas some enzymes have potential for biotechnological applications, the M4 family of metalloproteases is known almost exclusively from bacteria. The aim of the study was to identify the structure and properties of M4 metalloprotease proteins. Results A total of 31 protein sequences of M4 metalloprotease retrieved from UniProt representing different species of bacteria have been characterized for various physiochemical properties. They were thermostable, hydrophillic protein of a molecular mass ranging from 38 to 66 KDa. Correlation on the basis of both enzymes and respective genes has also been studied by phylogenetic tree. B. cereus M4 metalloprotease (PDB ID: 1NPC) was selected as a representative species for secondary and tertiary structures among the M4 metalloprotease proteins. The secondary structure displaying 11 helices (H1-H11) is involved in 15 helix-helix interactions, while 4 β-sheet motifs composed of 15 β-strands in PDBsum. Possible disulfide bridges were absent in most of the cases. The tertiary structure of B. cereus M4 metalloprotease was validated by QMEAN4 and SAVES server (Ramachandran plot, verify 3D, and ERRAT) which proved the stability, reliability, and consistency of the tertiary structure of the protein. Functional analysis was done in terms of membrane protein topology, disease-causing region prediction, proteolytic cleavage sites prediction, and network generation. Transmembrane helix prediction showed absence of transmembrane helix in protein. Protein-protein interaction networks demonstrated that bacillolysin of B. cereus interacted with ten other proteins in a high confidence score. Five disorder regions were identified. Active sites analysis showed the zinc-binding residues—His-143, His-147, and Glu-167, with Glu-144 acting as the catalytic residues. Conclusion Moreover, this theoretical overview will help researchers to get a details idea about the protein structure and it may also help to design enzymes with desirable characteristics for exploiting them at industrial level or potential drug targets.

2010 ◽  
Vol 13 (2) ◽  
pp. 232-239 ◽  
Author(s):  
Yasuhiro Gotoh ◽  
Yoko Eguchi ◽  
Takafumi Watanabe ◽  
Sho Okamoto ◽  
Akihiro Doi ◽  
...  

Author(s):  
Radha Mahendran

ABSTRACT Objective: Syphilis is a sexually transmitted infection caused by the spirochaete, Treponema pallidum subspecies pallidum nichols. In this study, a comparative metabolic pathway analysis and molecular docking was performed to identify putative drug targets.Methods: The biochemical pathways of Treponema pallidum subs. pallidum nichols and Homo sapiens were compared using KEGG (Kyoto Encyclopedia of Genes and Genomes) pathway. The amino acid sequence of the selected enzymes were retrieved and Blastp was performed. Out of 9 enzymes, enolase was modeled using ModWeb and the structure was validated using RAMPAGE. The active sites were identified using Metapocket 2.0 and further docked using AutoDock 4.2.Results: The enzymes which were not similar to that of Homo sapiens were filtered out as potential drug targets. A total of 9 enzymes were retrieved which were present only in the Treponema pallidum subs. pallidum nichols. The structure obtained from Homology modeling was validated and further active sites were predicted. The docking analysis results showed the interaction between enolase and doxycycline and the structures were obtained using PyMol.Conclusion: Through this study, doxycycline which has antibacterial effect and a derivative of tetracycline could be one of the potential ligands. Keywords: Syphilis, Treponema pallidum, KEGG, Blastp, metabolic pathway, Homology Modeling, DockingREVIEWERSProf.G.SHOBA,Bioinformatics Department      Dr.M.G.R Janaki College of Arts and Science for Women      University of Madras      [email protected]      Phone: 9094009791 2. Prof .VINOTH,Biotechnology & Bioinformatics DepartmentHindustan University,Kelambakkam, Chennai-603103                  [email protected]                 Phone - + 91 97895 95766


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