Homology modeling – a step towards vaccine development by analyzing structure of haemophilus influenza protein, transcriptional regulator H10994
Keywords:
Haemophilus influenza, Homology modeling, vaccine developmentAbstract
Introduction: Haemophilus influenza is a type of bacterium that is non motile, gram negative and causes poisoning and infection including pneumonia,bronchitis etc. In order to study the resistivity of H.influenza protein, transcription regulator: HI0433, homology modeling is an important step to predict structure. Material and methods: Bioinformatics such as CMR, BLAST, modeller Prcheck and Prosa was carried out to find 3D structure of protein. Results and Discussion: H.influenza has 1792 proteins. Out of these, 456 hypothetical proteins were found. Homology modeling of transcriptional regulator H10994 was done it consists of 8 helices and 7 beta sheets. Ramachandran plot has shown that it consists of 95.2% particles in maximum allowed regions, 2.9 % particles in fewer allowed region, 1.4% particles in inadequate allowed region, 5% particles in disallowed region. Conclusion: By homology modeling of H. influenza, transcriptional regulator protein (HI0433), structure was designed which has provided enough information for vaccine development to control its transcription for causing disease.
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References
Arora, D.R. (2007). Textbook of Microbiology, 2nd Edition
Kuhnert, P., Christensen, H. (2008).Pasteurellaceae: Biology, Genomics and Molecular Aspects. Caister Academic Press. ISBN 978-1-904455-34-9.
Ryan, K.J., Ray, C.G., (2004). Sherris Medical Microbiology (4th ed.). McGraw Hill. pp. 396–401. ISBN 0-8385-8529-9.
Chang, C.M., Lauderdale, T.L., Lee, H.C., Lee, N.Y., Wu, C.J., Chen, P.L., Lee C.C., Chen, P.C., Ko, W.C., (2010). Colonisation of fluoroquinolone-resistant Haemophilus influenzae among nursing home residents in southern Taiwan". J. Hosp. Infect. 75 (4): 304–8.
Roberts, M. C. and Soge, O.O., (2011). Characterization of macrolide resistance genes in Haemophilus influenzae isolated from children with cystic fibrosis. J. Antimicrob. Chemother. 66 (1): 100–4.
Bourne, P. E. and Weissig, H. (2003). Structural Bioinformatics. Wiley-Liss
Mosimann, S., Meleshko, R. and James, M.N.G. (1995). A critical assessment of comparative molecular modeling of tertiary structures of proteins. Proteins, 23, 301-317.
Deng W,Liou SR, Plunkett G of human organic cation, Mayhew GF, Rose DJ, Burland V, et al. (2003). Comparative genomics of Salmonella enteric serovar Typhi strains Ty2 and CT18.Journal of bacteriology. 1;185(7):2330-7.
Janson G, Zhang C, Prado MG, Paiardini A. (2017). PyMod 2.0:improvement in protein sequence-structure analysis and homology modeling within PyMOL. Bioinformatics. Feb 1;33(3):444-6.
Dakal TC, Kumar R, Romator D. (2017). Structural modeling of human organic cation transporters.Computational Biology and Chemistry. 1;68:153-6
Costanzi S. (2011). Homology modeling of class ag proteincoupled receptors. In Homology Modeling (pp.259-279).Humana Press. 16. Qiu J, Zang S,Ma Y,Owusu L,Zhou L ,Jiang
Meier A, Soding J. (2015). Automatic prediction of protein 3D. structures by probabilistic multi-template homology modeling. PLoS Comput Biol. 23;(10):e1004343.
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