CONSTRUCTION AND OPTIMIZATION OF STRUCTURE-BASED VIRTUAL SCREENING PROTOCOLS TO IDENTIFY CYCLOOXYGENASE-1 INHIBITORS USING OPEN BABEL, SPORES AND PLANTS

https://doi.org/10.22146/ijc.21354

Enade Perdana Istyastono(1*)

(1) Molecular Modeling Center “MOLMOD.ORG” Yogyakarta
(*) Corresponding Author

Abstract


Structure-Based Virtual Screening (SBVS) protocols to identify cyclooxygenase-1 (COX-1) inhibitors have been constructed and optimized based on their Root Mean Square Deviation (RMSD) values of the docked pose and the crystal structure pose of the reference ligand. Employing a COX-1 structure obtained from the Protein Data Bank (pdb) with code 2OYE as the reference protein and PLANTS1.2 as the molecular docking simulation program, the SBVS protocols were mainly built. The preparation steps involved SPORES and Open Babel, while the results analysis involved PyMOL to calculate the RMSD and R computational statistics software to perform the statistics calculations. The results show that these construction and optimization processes could provide an SBVS protocol to identify COX-1 inhibitors that is accurately able to redock the reference ligand with the RMSD value of 0.633 Å.

Keywords


Structure-Based Virtual Screening; molecular docking; cyclooxygenase-1; Open Babel; SPORES; PLANTS1.2; root mean square deviation

Full Text:

Full Text PDF


References

[1] Vane, J.R., 1971, Nat. New. Biol., 231, 25, 232–235.

[2] Rao, P., and Knaus, E.E., 2008, J. Pharm. Pharm. Sci., 11, 2, 81s–110s.

[3] Masferrer, J.L., Zweifel, B.S., Seibert, K., and Needleman, P., 1990, J. Clin. Invest., 86, 4, 1375–1379.

[4] Meade, E.A., Smith, W.L., and DeWitt, D.L., 1993, J. Biol. Chem., 268, 9, 6610–6614.

[5] Tanaka, K., Suemasu, S., Ishihara, T., Tasaka, Y., Arai, Y., and Mizushima, T., 2009. Eur. J. Pharmacol., 603, 1-3, 120–132.

[6] Willoughby, D.A., Moore, A.R., Colville-Nash, P.R., and Gilroy, D., 2000, Int. .J. Immunopharmacol., 22, 12, 1131–1135.

[7] Huang, N., Shoichet, B.K., and Irwin, J.J., 2006, J. Med. Chem., 49, 23, 6789–6801.

[8] Hayun, Yanuar, A., Hanafi, M., and Hudiyono-PWS, S., 2011, Bioinformation, 7, 5, 246–250.

[9] Sudha, K.N., Shakira, M., Prasanthi, P., Sarika, N., Kumar Ch.N., and Babu, P.A., 2008, Bioinformation, 2, 8, 325–329.

[10] Yuniarti, N., Ikawati, Z., and Istyastono, E.P., 2011, Bioinformation, 6, 4, 164–166.

[11] Wang, J.L., Limburg, D., Graneto, M.J., Springer, J., Hamper, J.R., Liao, S., Pawlitz, J.L., Kurumbail, R.G., Maziasz, T., Talley, J.J., Kiefer, J.R., and Carter, J., 2010, Bioorg. Med. Chem. Lett., 20, 23, 7159–7163.

[12] Harman, C.A., Turman, M.V., Kozak, K.R., Marnett, L.J., Smith, W.L., and Garavito, R.M., 2007, J. Biol. Chem., 282, 38, 28096–28105.

[13] Picot, D., Loll, P.J., and Garavito, R.M., 1994, Nature, 367, 6460, 243–249.

[14] Rimon, G., Sidhu, R.S., Lauver, D.A., Lee, J.Y., Sharma, N.P., Yuan, C., Frieler, R.A., Trievel, R.C., Lucchesi, B.R., and Smith, W.L., 2010, Proc. Natl. Acad. Sci. USA, 107, 1, 28–33.

[15] Sidhu, R.S., Lee, J.Y., Yuan, C., and Smith, W.L., 2010, Biochemistry, 49, 33, 7069–7079.

[16] Korb, O., Stutzle, T., and Exner, T.E., 2009, J. Chem. Inf. Model., 49, 1, 84–96.

[17] Marcou, G., and Rognan, D., 2007, J. Chem. Inf. Model., 47, 1, 195–207.

[18] ten Brink, T., and Exner, T.E., 2009, J. Chem. Inf. Model., 49, 6, 1535–1546.

[19] O'Boyle, N.M., Banck, M., James, C.A., Morley, C., Vandermeersch, T., and Hutchison, G.R., 2011, J. Cheminform., 3, 33.

[20] DeLano, W.L., 2002, The PyMOL User's Manual, Palo Alto, CA, USA.: DeLano Scientific.

[21] Seeliger, D., and de Groot, B.L., 2010, J. Comput.-Aided Mol. Des., 24, 5, 417–422.

[22] Ihaka, R., and Gentleman, R., 1996, J. Comput. Graph. Stat., 5, 3, 299–314.

[23] Bennett, E.R., Clausen, J., Linkov, E., and Linkov, I., 2009, Chemosphere, 77, 10, 1412–1418.

[24] Krieger, E., and Vriend, G., 2002, Bioinformatics, 18, 2, 315–318.

[25] Istyastono, E.P., Nijmeijer, S., Lim, H.D., van de Stolpe, A., Roumen, L., Kooistra, A.J., Vischer, H.F., de Esch, I.J., Leurs, R., and de Graaf, C., 2011, J. Med. Chem., 54, 23, 8136–8147.

[26] Green, D.V., 2003, Prog. Med. Chem., 41, 61–97.



DOI: https://doi.org/10.22146/ijc.21354

Article Metrics

Abstract views : 2468 | views : 1850


Copyright (c) 2012 Indonesian Journal of Chemistry

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

 


Indonesian Journal of Chemistry (ISSN 1411-9420 /e-ISSN 2460-1578) - Chemistry Department, Universitas Gadjah Mada, Indonesia.

Web
Analytics View The Statistics of Indones. J. Chem.