Title |
Homology Modeling of Coagulase in Staphylococcus aureus |
Authors |
Noor Asidah Mohamed1, 3*, Ruzianisra Mohamed2 & Teoh Teow Chong3 |
Affiliation |
1Department of Biotechnology, Faculty of Agriculture and Biotechnology, Universiti Sultan Zainal Abidin, Gong Badak Campus, 21300 Kuala Terengganu, Terengganu Darul Iman, MALAYSIA; 2Faculty of Pharmacy, Universiti Teknologi Mara (UiTM), Puncak Alam Campus, 42300, Bandar Puncak Alam, Selangor, MALAYSIA; 3Insitute of Science Biology, Faculty of Science, University of Malaya, 50603 Kuala Lumpur, MALAYSIA.
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norasidah@unisza.edu.my; *Corresponding author
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Article Type |
Hypothesis
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Date |
Received April 19, 2012; Accepted April 26, 2012; Published May 15, 2012
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Abstract |
The close correlation between the ability of coagulase to clot blood plasma and their capacity to produce disease, and the corresponding absence of this property in nonpathogenic strains, have led to the assumption that the coagulase, plays important role in the pathogenesis of disease. Currently, crystal structure of coagulase in Staphylococcus aureus remains indefinable. Thus, the objectives of this research is to generate the three dimensional model of coagulase in S. aureus by using homology modeling approach. In this study, we used bioinformatics tools and databases such as BLAST (Basic Local Alignment Search Tool), GenBank, PDB (Protein Databank), and Discovery Studio to gain specific functional insights into coagulase. The model was validated using protein structure checking tools such as PROCHECK, Verify 3D and CE (Combinatorial Extension) for reliability. Therefore, structure prediction of coagulase in S. aureus can provide preliminary knowledge for understanding the function of the protein. The information from this finding will provide important information into the action and regulation mechanism of the coagulase protein in S. aureus.
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Keywords |
Structure prediction, Coagulase, Homology modeling, Staphylococcus aureus. |
Citation |
Mohamed et al.
Bioinformation 8(9): 412-414 (2012) |
Edited by |
P Kangueane
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ISSN |
0973-2063
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Publisher |
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License |
This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License. |