ABSTRACT:
Many people are suffering from cardiovascular diseases and some may die due severe heart strokes. The main reason for heart attacks is clots in the circulating blood due to fibrin. The Nattokinase enzyme which is produced by certain microbes especially Bacillus species is an effective drug for preventing cardiovascular disorders and other complications. The Nattokinase degrades fibrin and removes blood clots. The administration of Nattokinase had minimized the blood clots in patients. In the present paper the sequence of Nattokinase enzyme was derived from UniProt web-server and used to develop its three-dimensional model in Phyre2 server. The quality of developed model structure of Nattokinase enzyme was validated using the most widely used web programs Verify3D and ProSA. Further an improved Nattokinase enzyme can developed using various advanced bioinformatics tools. Such improved Nattokinase enzyme can be produced in the laboratory by microbes.
Cite this article:
Praveen Reddy P. Homology modeling of microbial Nattokinase enzyme, An Anti-blood clotting (Fibrinolytic) agent using computational tools. Research J. Pharm. and Tech 2020; 13(9):4135-4138. doi: 10.5958/0974-360X.2020.00730.1
Cite(Electronic):
Praveen Reddy P. Homology modeling of microbial Nattokinase enzyme, An Anti-blood clotting (Fibrinolytic) agent using computational tools. Research J. Pharm. and Tech 2020; 13(9):4135-4138. doi: 10.5958/0974-360X.2020.00730.1 Available on: https://www.rjptonline.org/AbstractView.aspx?PID=2020-13-9-18
REFERENCES:
1. Moidutty A, Balasubramanian, Tardos M and OM FR. Production, Purification and Characterization of Fibrinolytic Enzyme Nattokinase from Bacillus subtilis. International Journal of Pharmacy and Pharmaceutical Sciences. 2015; 4(1): 80-88.
2. Chen H, McGowan EM, Ren N, Lal S, Nassif N, Shad-Kanee F, Qu X and Lin Y. Nattokinase: A Promising Alternative in Prevention and Treatment of Cardiovascular Diseases. Biomarker Insights. 2018; 13: 1-8.
3. Krishnamurthy A, Belur PD and Subramanya SB. Methods available to access therapeutic potential of fibrinolytic enzymes of microbial origin: a review. Journal of Analytical Science and Technology. 2018; 9(10): 1-11.
4. Jagtap K and Chavan M. Screening of Fibrinolytic enzyme (Nattokinase) from Bacillus species Isolated from Local Wadala Region Soil. World Journal of Pharmacy and Pharmaceutical Sciences. 2016; 5(7): 1179-1185.
5. Xu D, Xu Y and Uberbacher EC. Computational Tools For Protein Modeling. Current Protein and Peptide Science. 2000; 1(1): 1-21.
6. Bairoch A, Apweiler R, Wu CH, Barker WC, Boeckmann, Ferro S, Gasteiger E, Huang H, Lopez R, Magrane M, Martin MJ, Natale DA, O’Donovan C, Redaschi N and Yeh LS. The Universal Protein Resource (UniProt). Nucleic Acids Research. 2005; 33: D154-D159.
7. Satyanarayana SDV, Krishna MSR, Kumar PP and Jeereddy S. In Silico structural homology modeling of nif A protein of rhizobial strains in selective legume plants. Journal of Genetic Engineering and Biotechnology. 2018; 16(2): 731-737.
8. Prajapat R, Marwal A and Gaur RK. Recognition of Errors in the Refinement and Validation of Three-Dimensional Structures of AC1 Proteins of Begomovirus Strains by Using ProSA-Web. Journal of Viruses. 2014; Article Id. 752656: 1-6.
9. Katiyar A, Lenka SK, Lakshmi K, Chinnusamy V and Bansa KC. In Silico Characterization and Homology Modeling of Thylakoid bound Ascorbate Peroxidase from a Drought Tolerant Wheat Cultivar. Genomics Proteomics Bioinformatics. 2009; 7(4): 185-193.
10. Apweiler R, Bairoch A, Wu CH, Barker WC, Boeckmann B, Ferro S, Gasteiger E, Huang H, Lopez R, Magrane M, Martin MJ, Natale DA, O’Donovan C, Redaschi N and Yeh LS. Uniprot: the Universal Protein knowledgebase. Nucleic Acids Research. 2004; 32: D115-D119.
11. Kelley LA, Mezulis S, Yates CM, Wass MN and Sternberg MJ. The Phyre2 web portal for protein modelling, prediction and analysis. Nat Protoc. 2015; 10(6): 845-858.
12. Kalman M and Ben-Tal N. Quality assessment of protein model-structures using evolutionary conservation. Bioinformatics. 2010; 26(10): 1299-1307.
13. Wiederstein M and Sippl MJ. ProSA-web: interactive web service for the recognition of errors in three-dimensional structures of proteins. Nucleic Acids Research. 2007; 35 (Web Server issue): W407-W410.