Molecular modelling, docking and interaction studies of human-plasmogen and salmonella-enolase with enolase inhibitors


Digvijay Singh Chauhan1, Sharat Chandra1, Arun Gupta2 & Tiratha Raj Singh1, 3


1Bioinformatics Sub-Centre, School of Biotechnology, Devi Ahilya University, Indore-452001; 2School of Computer Science and Information Technology, Devi Ahilya University, Indore-452001; 3Dpartment of Biotechnology and Bioinformatics, Jaypee University of Information Technology, Waknaghat, Solan-173234, H.P, India.


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Received February 08, 2012; Accepted February 11, 2012; Published February 28, 2012


Salmonella enteric serovar Typhi Ty2 is a human specific pathogen and an etiological agent for typhoid fever. Most of Salmonella serotypes produce glycogen which has a comparatively minor role in virulence and colonization, but has a more significant role in survival. Enzymes present in glycolytic pathway of bacteria help bacteria to survive by activating other factors inside host. Numerous pathogenic bacteria species intervene with the plasminogen system, and this plasminogen–enolase association may play a critical role in the virulence of S. Typhi by causing direct damage to the host cell extracellular matrix, possibly by enzymic degradation of extracellular matrix proteins or other protein constituents. In this study, molecular modelling of enolase of Salmonella has been accomplished in silico by comparative modelling; we have then analyzed Human alpha enolase which is a homodimer and serves on epithelial cells with our model. Both Structures were docked by D-tartronate semialdehyde phosphate (TSP) and 3-aminoenolpyruvate phosphate (AEP) enolase inhibitors. Our study shows that salmonella enolase and human enolase have different active sites in their structure. This will help in development of new ligands, more suitable for inhibiting bacterial survival inside host as vaccines for typhoid fever are not fully protective. The study also confirmed that enolase Salmonella and Human Plasminogen suggested direct physical interaction between both of them as the activation loop of plasminogen residues showed conformational changes similar to the tissue type plasminogen activator. Various computational biology tools were used for our present study such as Modeller, Molegro Virtual Docker, Grommacs.



Salmonella Ty2, Enolase, TSP (D-tartronate semialdehyde phosphate), AEP (3-aminoenolpyruvate phosphate), Modelling, Docking.



Chauhan et al. Bioinformation 8(4): 185-188 (2012)


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P Kangueane






Biomedical Informatics



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