Abstract
This study gives a quantitative structure-activity relationship (QSAR) correlation of the 72 N-benzylsalicylamide derivatives properties with their antimycobacterial activity. The antimycobacterial activity was measured as the minimal inhibition concentration (MIC) determined for four strains of mycobacterium (M. avium, M. kansasii, M. kansasii clin.-clinically isolated form, and M. tuberculosis) after 14 days and after 21 days of cultivation. The objective was to identify the factors most closely defining biological activity of N-benzylsalicylamides, in order to enable QSAR prediction of new derivatives with high antimycobacterial activity. Optimal properties for the QSAR analysis were selected from several physicochemical properties, including lipophilicity parameter log P, molecular mass M, molar refraction MR, NMR chemical shifts, polarizability, etc. Many of the considered properties are different from those typically used in traditional QSAR. Selection of the most important properties was performed by one-way Analysis of Variance (ANOVA) and correlation analysis using the significance coefficients and the correlation coefficients, respectively. The chosen variables were further used in artificial neural networks (ANN) for predicting biological activity in the form of-log(MIC).
[1] ACD/Labs (2003). ACD/PhysChem 7.0 [computer software]. Toronto: Advanced Chemistry Development, Inc. Search in Google Scholar
[2] Borggaard, C., & Thodberg, H. H. (1992). Optimal minimal neural interpretation of spectra. Analytical Chemistry, 64, 545–551. DOI: 10.1021/ac00029a018. http://dx.doi.org/10.1021/ac00029a01810.1021/ac00029a018Search in Google Scholar
[3] CambridgeSoft (2007). ChemDraw 9.0 [computer software]. Cambridge: CambridgeSoft Corporation. Search in Google Scholar
[4] Curry, B., & Rumelhart, D. E. (1990). MSnet: A neural network which classifies mass spectra. Tetrahedron Computer Methodology, 3, 213–237. DOI: 10.1016/0898-5529(90)90053-B. http://dx.doi.org/10.1016/0898-5529(90)90053-B10.1016/0898-5529(90)90053-BSearch in Google Scholar
[5] Durdagi, S., Papadopoulos, M. G., Papahatjis, D. P., & Mavromoustakos, T. (2007). Combined 3D QSAR and molecular docking studies to reveal novel cannabinoid ligands with optimum binding activity. Bioorganic & Medicinal Chemistry Letters, 17, 6754–6763. DOI: 10.1016/j.bmcl.2007.10.044. http://dx.doi.org/10.1016/j.bmcl.2007.10.04410.1016/j.bmcl.2007.10.044Search in Google Scholar
[6] Haykin, S. (1994). Neural networks-A comprehensive foundation. New York: Macmillan Publishing Co. Search in Google Scholar
[7] HyperCube (2003). HyperChem 8.0 [computer software]. Gainesville: HyperCube, Inc. Search in Google Scholar
[8] Kapou, A., Benetis, N. P., Avlonitis, N., Calogeropoulou, T., Koufaki, M., Scoulica, E., Nikolaropoulos, S. S., & Mavromoustakos, T. (2007). 3D-Quantitative structure-activity relationships of synthetic antileishmanial ring-substituted ether phospholipids. Bioorganic & Medicinal Chemistry, 15, 1252–1265. DOI: 10.1016/j.bmc.2006.11.018. http://dx.doi.org/10.1016/j.bmc.2006.11.01810.1016/j.bmc.2006.11.018Search in Google Scholar
[9] Mittermayr, C. R., Drouen, A. C. J. H., Otto, M., & Grasserbauer, M. (1994). Neural networks for library search of ultraviolet spectra. Analytica Chimica Acta, 294, 227–242. DOI: 10.1016/0003-2670(94)80306-4. http://dx.doi.org/10.1016/0003-2670(94)80306-410.1016/0003-2670(94)80306-4Search in Google Scholar
[10] Mocák, J., Ďurčeková, T., Lehotay, J., Hroboňová, K., & Waisser, K. (2006)a. The utilization of multidimensional data analysis for N-benzylsalicylamides study of biological activity. In Proceedings of the 35th Conference on Drug Synthesis and Analysis, 12–15 September 2006 (pp. 33–34). Velké Karlovice, Czech Republic: Czech Pharmaceutical Society. (in Slovak) Search in Google Scholar
[11] Mocák, J., Ďurčeková, T., Mrázová, V., Kružlicová, D., Netriová, J., Lehotay, J. (2006)b. Multidimensional data analysis in clinical chemistry, pharmacy and food industry. In J. Sádecká, & P. Májek (Eds.), Proceedings of the XVI. International Conference Chromatographic Methods and Human Health, 13–16 November 2006 (pp. L16_L16_9). Bratislava, Slovakia: Slovak University of Technology. ISSN-1335-5236. (in Slovak) Search in Google Scholar
[12] Moses, S. (2008), January. A family practice notebook. Retrieved January 25, 2008, from http://www.fpnotebook.com/HIV28.htm Search in Google Scholar
[13] Nemeček, P., Ďurčeková, T., Mocák, J., Hroboňová, K., & Lehotay, J. (2006)a. Application of retention factor in QSAR studies of N-benzylsalicylamides. In J. Sádecká, & P. Májek (Eds.), Proceedings of the XVI. International Conference Chromatographic Methods and Human Health, 13–16 November 2006 (pp. P46_1-P46_5). Bratislava, Slovakia: Slovak University of Technology. ISSN-1335-5236. Search in Google Scholar
[14] Nemeček, P., Ďurčeková, T., Mocák, J., Lehotay, J., & Waisser, K. (2006)b. Study of the relationships between biological activity and physico-chemical properties of potential antituberculotics. Nova Biotechnologica, 6, 37–47. (in Slovak) Search in Google Scholar
[15] Nemeček, P., Ďurčeková, T., Mocák, J., Lehotay, J., & Waisser, K. (2007). Comparison of capacity factor and retribution coefficient used as lipophilicity parameter in QSAR study of antituberculotic activity. In Book of abstracts and abbreviated papers, 13th International Symposium on Separation Sciences, June 27–29, 2007 (pp. D10_1). Štrbské Pleso: Faculty of Chemical and Food Technology STU. ISBN 978-80-227-2698-6. Search in Google Scholar
[16] Oravec, M., Polec, J., Marchevský, S. (1998). Neural networks for digital signal processing. Bratislava: Faber. (in Slovak) Search in Google Scholar
[17] Otto, M. (1999). Chemometrics. Weinheim: Wiley. Search in Google Scholar
[18] Remko, M. (2005). Fundamentals of medicinal and pharmaceutical chemistry. Bratislava, Slovakia: Slovak Academic Press. Search in Google Scholar
[19] Trajan Software (2005). Trajan 6.0 Professional [computer software]. Low Toynton, Horncastle: Trajan Software, Ltd. Search in Google Scholar
[20] Vandenginste, B. M. G., Massart, L. M., Buydens, L. M. C., De Jong, S., Lewi, P. J., & Smeyers-Verbeke, J. (1998). Handbook of chemometrics and qualimetrics: Part B. Amsterdam: Elsevier. Search in Google Scholar
[21] Waisser, K., & Dražková, K. (2003). Progress in development of antituberculotics without heterocycles in pharmacophor. Part 1. Derivatives of carboxyl acids. Czechoslovak Pharmacy, 52, 73–80. (in Czech) Search in Google Scholar
[22] Waisser, K., Peřina, M., Klimešová, V., & Kaustová, J. (2003)a. On the relationship between the structure and antimycobacterial activity of substituted N-benzylsalicylamides. Collection of Czechoslovak Chemical Communications, 68, 1275–1294. DOI: 10.1135/cccc20031275. http://dx.doi.org/10.1135/cccc2003127510.1135/cccc20031275Search in Google Scholar
[23] Waisser, K., Peřina, M., Boudová, I., Kuneš, J., & Kaustová, J. (2003)b. A new group of potential antituberculotics-antimycobacterial N-benzylsalicylamides. Czechoslovak Pharmacy, 52, 291–294. (in Czech) Search in Google Scholar
[24] Zupan, J., & Gasteiger, J. (1999). Neural networks in chemistry and drug design (2nd ed.). Weinheim: Wiley. Search in Google Scholar
[25] Zupan, J., & Gasteiger, J. (1993). Neural networks for chemists. Weinheim: VCH. Search in Google Scholar
© 2008 Institute of Chemistry, Slovak Academy of Sciences
Articles in the same Issue
- Polymer interfaces used in electrochemical DNA-based biosensors
- Integration of biomass drying with combustion/gasification technologies and minimization of emissions of organic compounds
- Application of hydrocolloids as baking improvers
- Simultaneous determination of 118 pesticide residues in Chinese teas by gas chromatography-mass spectrometry
- Modifications of spectrophotometric methods for total phosphorus determination in meat samples
- Modification and characterization of montmorillonite fillers used in composites with vulcanized natural rubber
- A new approach to nickel electrolytic colouring of anodised aluminium
- Solvent-free synthesis and properties of carboxymethyl starch fatty acid ester derivatives
- Reduction of silver nitrate by polyaniline nanotubes to produce silver-polyaniline composites
- Chemometrical analysis of computed QSAR parameters and their use in biological activity prediction
- Mild and efficient conversion of trifluoromethylarenes into tribromomethylarenes using boron tribromide
- 1,3-Dibromo-5,5-dimethylhydantoin as a useful reagent for efficient synthesis of 3,4-dihydropyrimidin-2-(1H)-ones under solvent-free conditions
- A new xanthone from the roots of Securidaca inappendiculata
Articles in the same Issue
- Polymer interfaces used in electrochemical DNA-based biosensors
- Integration of biomass drying with combustion/gasification technologies and minimization of emissions of organic compounds
- Application of hydrocolloids as baking improvers
- Simultaneous determination of 118 pesticide residues in Chinese teas by gas chromatography-mass spectrometry
- Modifications of spectrophotometric methods for total phosphorus determination in meat samples
- Modification and characterization of montmorillonite fillers used in composites with vulcanized natural rubber
- A new approach to nickel electrolytic colouring of anodised aluminium
- Solvent-free synthesis and properties of carboxymethyl starch fatty acid ester derivatives
- Reduction of silver nitrate by polyaniline nanotubes to produce silver-polyaniline composites
- Chemometrical analysis of computed QSAR parameters and their use in biological activity prediction
- Mild and efficient conversion of trifluoromethylarenes into tribromomethylarenes using boron tribromide
- 1,3-Dibromo-5,5-dimethylhydantoin as a useful reagent for efficient synthesis of 3,4-dihydropyrimidin-2-(1H)-ones under solvent-free conditions
- A new xanthone from the roots of Securidaca inappendiculata