Skip to main content

Advertisement

Log in

Molecular modelling and quantitative structure-activity relationship studies of anatoxin-a and epibatidine derivatives with affinity to rodent nAChR receptors

  • Original Paper
  • Published:
Chemical Papers Aims and scope Submit manuscript

Abstract

Anatoxin-a and epibatidine are natural toxins with a high affinity to nicotinic acetylcholine receptors (nAChR). Nicotinic ligands have the potential to become novel therapeutic agents for various cognitive disorders such as Alzheimer’s and Parkinson’s diseases. The determination of the physicochemical and biological properties of anatoxin-a and epibatidine derivatives is important because these might lead to the development of new cholinergic therapeutic agents. To study these features, the toxins and a set of their derivatives were subjected to a molecular modelling study and QSAR analysis. The structural analyses indicated that the geometric and steric features are important determinants of the compound’s activities. The descriptors selected for the QSAR model also highlighted the roles of the geometric and steric features, together with the importance of electronic features.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Abreu, R. M. V., Ferreira, C. F. R. I., & Queiroz, M. J. R. P. (2009). QSAR model for predicting radical scavenging activity of di(hetero)arylamines derivatives of benzo[b]thiophenes. European Journal of Medicinal Chemistry, 44, 1952–1958. DOI: 10.1016/j.ejmech.2008.11.011.

    Article  CAS  Google Scholar 

  • Andouze, K., Nielsen, E. Ø., Olsen, G. M., Ahring, P., Jørgensen, T. D., Peters, D., Liljefors, T., & Balle, T. (2006). New ligands with affinity for the α4β2 subytpe of nicotinic acetylcholine receptors. Synthesis, receptor binding and 3DQSAR modeling. Journal of Medicinal Chemistry, 49, 3159–3171. DOI: 10.1021/jm058058h.

    Article  CAS  Google Scholar 

  • Cassels, B. K., Bermudez, I., Dajas, F., Abin-Carriquiry, J. A., & Wonnacott, S. (2005). From ligand design to therapeutic efficacy: The challenge for nicotinic receptor research. Drug Discovery Today, 10, 1657–1665. DOI: 10.1016/s1359-6446(05)03665-2.

    Article  CAS  Google Scholar 

  • Damaj, M. I., Creasy, K. R., Grove, A. D., Rosecrans, J. A., & Martin, B. R. (1994). Pharmacological effects of epibatidine optical enantiomers. Brain Research, 664, 34–40. DOI: 10.1016/0006-8993(94)91950-x.

    Article  CAS  Google Scholar 

  • de Melo, E. B. (2012). A new quantitative structure-property relationship model to predict bioconcentration factors of polychlorinated biphenyls (PCBs) in fishes using E-state index and topological descriptors. Ecotoxicology and Environmental Safety, 75, 213–222. DOI: 10.1016/j.ecoenv.2011.08.026.

    Article  CAS  Google Scholar 

  • de Melo, E. B., & Ferreira, M. M. C. (2012). Four-dimensional structure-activity relationship model to predict HIV-1 integrase strand transfer inhibition using LQTA-QSAR methodology. Journal of Chemical Information and Modeling, 52, 1722–1732. DOI: 10.1021/ci300039a.

    Article  CAS  Google Scholar 

  • Devlin, J. P., Edwards, O. E., Gorham, P. R., Hunter, N. R., Pike, R. K., & Stavric, B. (1977). Anatoxin-a, a toxic alkaloid from Anabaena flos-aquae NRC-44h. Canadian Journal of Chemistry, 55, 1367–1371. DOI: 10.1139/v77-189.

    Article  CAS  Google Scholar 

  • Eriksson, L., Jaworska, J., Worth, A. P., Cronin, M. T. D., McDowell, R. M., & Gramatica, P. (2003). Methods for reliability and uncertainty assessment and for applicability evaluations of classification- and regression-based QSARs. Environmental Health Perspectives, 111, 1361–1375. DOI: 10.1289/ehp.5758.

    Article  CAS  Google Scholar 

  • Ferreira, M. M. C. (2002). Multivariate QSAR. Journal of the Brazilian Chemical Society, 13, 742–753. DOI: 10.1590/s0103-50532002000600004.

    CAS  Google Scholar 

  • Gaudio, A. C., & Zandonade, E. (2001). Proposição, validação e analise dos modelos que correlacionam estrutura quimica e atividade biologica. Quimica Nova, 24, 658.671. DOI: 10.1590/s0100-40422001000500013. (in Portuguese)

    Article  Google Scholar 

  • Gohlke, H., Schwarz, S., Gündisch, D., Tilotta, M. C., Weber, A., Wegge, T., & Seitz, G. (2003). 3D QSAR analyses-guided rational design of novel ligands for the (α4)2(β2)3 nicotinic acetylcholine receptor. Journal of Medicinal Chemistry, 46, 2031.2048. DOI: 10.1021/jm020859m.

    Article  CAS  Google Scholar 

  • Golbraikh, A., & Tropsha, A. (2002). Beware of q 2! Journal of Molecular Graphics and Modelling, 20, 269–276. DOI: 10.1016/s1093-3263(01)00123-1.

    Article  CAS  Google Scholar 

  • Hernández, N., Kiralj, R., Ferreira, M. M. C., & Talavera, I. (2009). Critical comparative analysis, validation and interpretation of SVM and PLS regression models in a QSAR study on HIV-1 protease inhibitors. Chemometrics and Intelligent Laboratory Systems, 98, 65–77. DOI: 10.1016/j.chemolab.2009.04.012.

    Article  CAS  Google Scholar 

  • Infometrix (2007). Pirouette 4 [computer software]. Bothell, WA, USA: Infometrix.

    Google Scholar 

  • Karig, G., Large, J.M., Sharples, C. G. V., Sutherland, A., Gallagher, T., & Wonnacott, S. (2003). Synthesis and nicotinic binding of novel phenyl derivatives of UB-165. Identifying factors associated with α7 selectivity. Bioorganic & Medicinal Chemistry Letters, 13, 2825–2828. DOI: 10.1016/s0960-894x(03)00594-8.

    Article  CAS  Google Scholar 

  • Katritzky, A. R., Petrukhin, R., Tatham, D., Basak, S., Benfenatim, E., Karelson, M., & Maran, U. (2001). Interpretation of quantitative structure-property and -activity relationships. Journal of Chemical Information and Modeling, 41, 679–685. DOI: 10.1021/ci000134w.

    Article  CAS  Google Scholar 

  • Kiralj, R., & Ferreira, M. M. C. (2009). Basic validation procedures for regression models in QSAR and QSPR studies: Theory and application. Journal of Brazilian Chemical Society, 20, 770–787. DOI: 10.1590/s0103-50532009000400021.

    Article  CAS  Google Scholar 

  • Kubinyi, H., Hamprecht, F. A., & Mietzner, T. (1998). Three-dimensional quantitative similarity-activity relationships (3D QSAR) from SEAL similarity matrices. Journal of Medicinal Chemistry, 41, 2553–2564. DOI: 10.1021/jm970732a.

    Article  CAS  Google Scholar 

  • LeSage, M. G., Shelley, D., Ross, J. T., Carroll, F. I., & Corrigall, W. A. (2009). Effects of the nicotinic receptor partial agonists varenicline and cytisine on the discriminative stimulus effects of nicotine in rats. Pharmacology Biochemistry and Behaviour, 91, 461–467. DOI: 10.1016/j.pbb.2008.08.024.

    Article  CAS  Google Scholar 

  • Liu, P. X:, & Long, W. (2009). Current mathematical methods used in QSAR/QSPR studies. International Journal of Molecular Sciences, 10, 1978–1998. DOI: 10.3390/ijms10051978.

    Article  CAS  Google Scholar 

  • Luan, F., Melo, A., Borges, F., & Cordeiro, M. N. D. S. (2011). Affinity prediction on A3 adenosine receptor antagonists: The chemometric approach. Bioorganic & Medicinal Chemistry, 19, 6853–6859. DOI: 10.1016/j.bmc.2011.09.032.

    Article  CAS  Google Scholar 

  • Martins, J. P. A., & Ferreira, M. M. C. (2013). QSAR modeling: A new open source computational package to generate and validate QSAR models. Quimica Nova, 36, 554–560. DOI: 10.1590/s0100-40422013000400013.

    Article  CAS  Google Scholar 

  • Melagraki, G., Afantitis, A., Sarimveis, H., Koutentis, P. A., Markopoulos, J., & Igglessi-Markopoulou, O. (2007). Optimization of biaryl piperidine and 4-amino-2-biarylurea MCH1 receptor antagonists using QSAR modeling, classification techniques and virtual screening. Journal of Computer-Aided Molecular Design, 21, 251–267. DOI: 10.1007/s10822-007-9112-4.

    Article  CAS  Google Scholar 

  • Molloy, L., Wonnacott, S., Gallagher, T., Brough, P. A., & Livett, B. G. (1995). Anatoxin-a is a potent agonist of the nicotinic acetylcholine receptor of bovine adrenal chromaffin cells. European Journal of Pharmacology: Molecular Pharmacology, 289, 447–453. DOI: 10.1016/0922-4106(95)90153-1.

    Article  CAS  Google Scholar 

  • Molfetta, F. A., Bruni, A. T., Rosseli, F. P., & da Silva, A. B. F. (2007). A partial least squares and principal component regression study of quinone compounds with trypanocidal activity. Structural Chemistry, 18, 49–57. DOI: 10.1007/s11224-006-9120-3.

    Article  CAS  Google Scholar 

  • Nicolotti, O., Pellegrini-Calace, M., Altomare, C., Carotti, A., Carrieri, A., & Sanz, F. (2002). Ligands of neuronal nicotinic acetylcholine receptor (nAChR): Inferences from the Hansch and 3-D quantitative structure-activity relationship (QSAR) models. Current Medicinal Chemisty, 9, 1–29. DOI: 10.2174/0929867023371463.

    Article  CAS  Google Scholar 

  • OECD (2007). Guidance document on the validation of (Q)SAR models. Retrieved November 20, 2012, from http://search. oecd.org/officialdocuments/displaydocumentpdf/?doclanguage=en&cote=env/jm/mono(2007)2

    Google Scholar 

  • Ojha, P. K., Mitra, I., Das, R. N., & Roy, K. (2011). Further exploring r 2m metrics for validation of QSPR models. Chemometrics and Intelligent Laboratory Systems, 107, 194–205. DOI: 10.1016/j.chemolab.2011.03.011.

    Article  CAS  Google Scholar 

  • Ojha, P. K., & Roy, K. (2011). Comparative QSARs for antimalarial endochins: Importance of descriptor-thinning and noise reduction prior to feature selection. Chemometrics and Intelligent Laboratory Systems, 109, 146–161. DOI: 10.1016/j.chemolab.2011.08.007.

    Article  CAS  Google Scholar 

  • Osswald, J., Rellan, S., Gago, A., & Vasconcelos, V. (2007). Toxicology and detection methods of the alkaloid neurotoxin produced by cyanobacteria, anatoxin-a. Environment International, 33, 1070–1089. DOI: 10.1016/j.envint.2007.06.003.

    Article  CAS  Google Scholar 

  • Papa, E., Dearden, J. C., & Gramatica, P. (2007). Linear QSAR regression models for the prediction of bioconcentration factors by physicochemical properties and structural theoretical molecular descriptors. Chemosphere, 67, 351–358. DOI: 10.1016/j.chemosphere.2006.09.079.

    Article  CAS  Google Scholar 

  • Papke, R. L. (2010). α4β2 Nicotinic acetylcholine receptors, willing if able. British Journal of Pharmacology, 160, 1903–1905. DOI: 10.1111/j.1476-5381.2010.00868.x.

    Article  CAS  Google Scholar 

  • Pérez, X. A., & Quik, M. (2011). Focus on α4β2* and α6β2* nAChRs for Parkinson’s disease therapeutics. Molecular and Cellular Pharmacology, 3, 1–6.

    Google Scholar 

  • Rapier, C., Lunt, G. G., & Wonnacott, S. (1990). Nicotinic modulation of [3H]dopamine release from striatal synaptosomes: Pharmacological characterisation. Journal of Neurochemistry, 54, 937–945. DOI: 10.1111/j.1471-4159.1990.tb02341.x.

    Article  CAS  Google Scholar 

  • Ribeiro, F. A. L., & Ferreira, M. M. C. (2003). QSPR models of boiling point, octanol.water partition coefficient and retention time index of polycyclic aromatic hydrocarbons. Jour nal of Molecular Structure: Theochem, 663, 109–126. DOI: 10.1016/j.theochem.2003.08.107.

    Article  CAS  Google Scholar 

  • Sharpless, C. G. V., Karig, G., Simpson, G. L., Spencer, J. A., Wright, E., Millar, N. S., Wonnacott, S., & Gallagher, T. (2002). Synthesis and pharmacological characterization of novel analogues of the nicotinic acetylcholine receptor agonist (±)-UB-165. Journal of Medicinal Chemistry, 45, 3235–3245. DOI: 10.1021/jm020814l.

    Article  CAS  Google Scholar 

  • Silla, J. M., Nunes, C. A., Cormanich, R. A., Guerreiro, M. C., Ramalho, T. C., & Freitas, M. P. (2011). MIA-QSPR and effect of variable selection on the modeling of kinetic parameters related to activities of modified peptides against dengue type 2. Chemometrics and Intelligent Laboratory Systens, 108, 146–149. DOI: 10.1016/j.chemolab.2011.06.009.

    Article  CAS  Google Scholar 

  • Spande, T. F., Garraffo, H. M., Edwards, M. W., Yeh, H. J. C., Pannell, L., & Daly, J. W. (1992). Epibatidine: A novel (chloropyridyl)azabicycloheptane with potent analgesic activity from an Ecuadoran poison frog. Journal of the American Chemical Society, 114, 3475–3478. DOI: 10.1021/ja00035a048.

    Article  CAS  Google Scholar 

  • Stanton, M. L. (2003). Interacting guilds: Moving beyond the pairwise perspective on mutualisms. The American Naturalist, 162, S10–S23. DOI: 10.1086/378646.

    Article  Google Scholar 

  • Talete (2010). Dragon 6.0 [computer software]. Milano, Italy: Talete.

    Google Scholar 

  • Talete (2011). Dragon 6.0 [computer software], users guide. Milano, Italy: Talete.

    Google Scholar 

  • Teofilo, R. F., Martins, J. P. A., & Ferreira, M. M C. (2009). Sorting variables by using informative vectors as a strategy for feature selection in multivariate regression. Journal of Chemometrics, 23, 32–48. DOI: 10.1002/cem.1192.

    Article  CAS  Google Scholar 

  • Thomas, P., Stephens, M., Wilkie, G., Amar, M., Lunt, G. G., Whiting, P., Gallagher, T., Pereira, E., Alkodon, M., Albuquerque, E. X., & Wonnacott, S. (1993). (+)-Anatoxin-a is a potent agonist at neuronal nicotinic acetylcholine receptors. Journal of Neurochemistry, 60, 2308–2311. DOI: 10.1111/j.1471-4159.1993.tb03519.x.

    Article  CAS  Google Scholar 

  • Todeschini, R. C., & Consonni, V. (2009). Molecular descriptors for chemoinformatics (2th ed.). Weinheim, Germany: Wiley.

    Book  Google Scholar 

  • Tonder, J. E., & Olesen, P. H. (2001). Agonists at the α4β2 nicotinic acetylcholine receptors relationships and molecular modeling. Current Medicinal Chemistry, 8, 651.674. DOI: 10.2174/0929867013373165.

    Article  Google Scholar 

  • Tropsha, A. (2010). Best practices for QSAR model development, validation and exploitation. Molecular Informatics, 29, 476–488. DOI: 10.1002/minf.201000061.

    Article  CAS  Google Scholar 

  • van Drie, J. (2003). Pharmacophore discovery — lessons learned. Current Pharmaceutical Design, 9, 1649–1664. DOI: 10.2174/1381612033454568.

    Article  Google Scholar 

  • Wold, S., Eriksson, L., & Clementi, S. (1995). Validation tools. In H. van de Waterbeemd (Ed.), Chemometric methods in molecular design (pp. 309–318). Weinheim, Germany: Wiley. DOI: 10.1002/9783527615452.ch5.

    Chapter  Google Scholar 

  • Wold, S., Sjöström, M., & Eriksson, L. (2001). PLS-regression: A basic tool of chemometrics. Chemometrics and Intelligent Laboratory Systems, 58, 109–130. DOI: 10.1016/s0169-7439(01)00155-1.

    Article  CAS  Google Scholar 

  • Wonnacott, S., Jackman, S., Swanson, K. L., Rapoport, H., & Albuquerque, E. X. (1991). Nicotinic pharmacology of anatoxin analogs. II. Side chain structure-activity relationships at neuronal nicotinic ligand binding sites. Journal of Pharmacology and Experimental Therapeutics, 259, 387–391.

    CAS  Google Scholar 

  • Wonnacott, S., Swanson, K. L., Albuquerque, E. X., Huby, N. J. S., Thompson, P., & Gallagher, T. (1992). Homoanatoxin: A potent analogue of anatoxin-a. Biochemical Pharmacology, 43, 419–423. DOI: 10.1016/0006-2952(92)90558-z.

    Article  CAS  Google Scholar 

  • Wonnacott, S., & Gallagher, T. (2006). The chemistry and pharmacology of anatoxin-a and related homotropanes with respect to nicotinic acetylcholine receptors. Marine Drugs, 4, 228–254. DOI: 10.3390/md403228.

    Article  CAS  Google Scholar 

  • Wright, E., Gallagher, T., Sharples, C. G. V., & Wonnacott, S. (1997). Synthesis of UB-165: A novel nicotinic ligand and anatoxin-a/epibatidine hybrid. Bioorganic & Medicinal Chemistry Letters, 7, 2867–2870. DOI: 10.1016/s0960-894x(97)10090-7.

    Article  CAS  Google Scholar 

  • Zhang, H. B., Liu, C. P., & Li, H. (2004). CoMFA and CoMSIA studies of nAChRs ligands: Epibatidine analogs. QSAR & Combinatorial Science, 23, 80–88. DOI: 10.1002/qsar.200330851.

    Article  CAS  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Eduardo Borges de Melo.

Electronic supplementary material

Rights and permissions

Reprints and permissions

About this article

Cite this article

de Melo, E.B., Moura e Silva, S. & Paula, F.R. Molecular modelling and quantitative structure-activity relationship studies of anatoxin-a and epibatidine derivatives with affinity to rodent nAChR receptors. Chem. Pap. 68, 1121–1131 (2014). https://doi.org/10.2478/s11696-014-0545-7

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.2478/s11696-014-0545-7

Keywords

Navigation