Dergiler / International Journal of Chemistry and Technology / 2017 / Volume: 1 Issue: 1

4D-QSAR study of flavonoid derivatives with MCET method

Sayfa
—
Yayın Tarihi
2017-10-19
🏛️Bu makalenin bibliyografik verileri ve tam metin bağlantısı DergiPark üzerinden sağlanmıştır.
DergiPark Kaydı ↗
✨

Yapay Zeka Hızlı Bakış & Çıkarımlar

AI Insight
⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

The developed model can help to understand the inhibitory mechanism.

📌 3 Maddede Bu Makale

🎯
Amaç & Hipotez:The Molecular Conformer Electron Topological (MCET) method was performed for the identification of the pharmacophore (Pha) group and predicting inhibitory activity of 42 flavonoid ligands on gamma-aminobutyric acid/benzodiazepine receptor complex (GABAA/BZR).
📊
Temel Bulgular & Veri:In this method, Electron Topological Matrix (ETM) was used to visualize 3D structural descriptors.
💡
Sonuç & Katkı:The developed model can help to understand the inhibitory mechanism.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Flavonoid derivatives · GABAA · 4D-QSAR

Abstract

The Molecular Conformer Electron Topological (MCET) method was performed for the identification of the pharmacophore (Pha) group and predicting inhibitory activity of 42 flavonoid ligands on gamma-aminobutyric acid/benzodiazepine receptor complex (GABAA/BZR). In this method, Electron Topological Matrix (ETM) was used to visualize 3D structural descriptors. Multiple comparisons of ETM matrices for all flavonoid compounds allow us to define Pha-structure. Genetic algorithm (GA)- Partial Least-Squares ( PLS) methods were performed to construct QSAR model and to select most important descriptors of the training set (32 compounds) and test set (10 compounds). The GA-PLS based model showed good results, q 2 = 0.808 and r 2 test = 0.775 with high internal and external validation. The developed model can help to understand the inhibitory mechanism.

🔖

Bu Makaleye Atıf Yap

Türkmenoğlu, B., Yilmaz, H., Su, E. M., Tokat, T. A., Güzel, Y. (2017). 4D-QSAR study of flavonoid derivatives with MCET method. International Journal of Chemistry and Technology, Volume: 1 Issue: 1. https://doi.org/10.32571/ijct.338920

📄 Tam Metin PDF Okuyucu

📄

PDF görüntüleyici hazırlanıyor...

Kaynakça (34)

  1. Martens, S.; Mithöfer A. Phytochem. 2005, 66, 2399-2407.
  2. Harborne, J.B.; Williams C.A. Phytochem. 2000, 55, 481–504.
  3. Treutter, D. Environ. Chem. Lett. 2006, 4: 147–157.
  4. Medina, J.H.; Viola, H.; Wolfman, C.; Marder, M.; Wasowski, C.; Calvo, D. Paladini AC. Neurochem. Res. 1997, 22, 419-425.
  5. Marder, M.; Viola, H.; Wasowski, C.; Wolfman, C.; Waterman, P.G.; Cassels, B.K.; Medina, J.H.; Paladini, A.C. Biochem. Biophy. Res. Commun. 1996, 223, 384-389.
  6. Marder, M.; Zinczuk, J.; Colombo, M.I.; Wasowski, C.; Viola, H.; Wolfman, C.; Medina, J.H.; Ruveda, E.A.; Paladini, A.C. Bioorg. Med. Chem. Lett. 1997, 7, 2003-2008.
  7. Marder, M.; Viola, H.; Bacigaluppo, J.A.; Colombo, M.I.; Wasowski, C.; Wolfman, C.; Medina, J.H.; Ruveda, E.A.; Paladini, A.C. Biochem. Biophy. Res. Commun. 1998, 249, 481-485.
  8. Teuber, L.; Watjen, F.; Jensen, L.H. Curr. Pharm. Des. 1999, 5, 317- 343.
  9. Argyropoulos, S.V.; Nutt, D. Eur. Neuropsychopharharmacol. 1999, 6, 407-412.
  10. Tija, C.J.; Stephen, J.M.; Rachel, J. Nat. Rev. Neurosci. 2008, 9, 331-343.
  11. Amić, D.; Davidović-Amić, D.; Jurić, A.; Lučić, B.; Trinajstić, N. J. Chem. Inf. Comput. Sci. 1995, 35, 1034-1038.
  12. Costantino, L.; Rastelli, G.; Albasini, A. Eur. J. Med. Chem. 1996, 31, 693–699.
  13. Li, G.; Mian, Z.; Song, W.; Ai-Lin, L.; Guan-Hua, D. Bioorg. Med. Chem. Lett. 2011, 21, 5964-5970.
  14. Duchowicz, P.R.; Vitale, M.G.; Castro, E.A.; Autino, J.C.; Romanelli, G.P.; Bennardi, D.O. Eur. J. Med. Chem. 2008, 43, 1593-1602.
  15. Yilmaz, H.; Güzel, Y.; Önal, Z.; Altiparmak, G.; Özhan-Kocakaya, Ş. Bull. Korean Chem. Soc. 2012, 32, 4352-4360.
  16. Yilmaz, H.; Güzel, Y.; Boz, M.; Türkmenoğlu, B. Trop. J. Pharm. Res. 2014, 13,117-129.
  17. Hopfinger, A.J.; Wang, S.; Tokarski, J.S.; Jin, B.; Albuquerque, M.; Madhav, P.J.; Duraiswami, C. J Am Chem Soc. 1997, 119, 10509-10524.
  18. Hopfinger, A.J.; Reaka, A.; Venkatarangan, P.; Duca, J.S.; Wang, S. J. Chem Inf Comput Sci. 1999, 39: 1151-1160.
  19. Senese, C.L.; Duca, J.; Pan, D.; Hopfinger, A.J.; Tseng, Y.J. J. Chem. Inf. Comput. Sci. 2004, 44: 1526-1539.
  20. Huang, X.; Liu, T.; Gu, J.; Luo, X.; Ji, R.; Cao, Y.; Xue, H.; Wong, J.T.; Wong, B.L.; Pei, G.; Jiang, H.; Chen, K. J. Med. Chem. 2001, 44, 1883-1891.
  21. Bernardino, A.M.R.; Castro, H.C.; Frugulhetti, L.C. P.P.; Loureiro, N.I.V.; Azevedo, A.R.; Pinheiro, L.C.S.; Souza, T.M.L.; Giongo, V.; Passamani, F.; Magalhaes, U.O.; Albuquerque, M.G.; Cabral, L.M.; Rodrigues, C.R. Bioorg. Med. Chem. 2008, 16, 8670-8675.
  22. Bernardino, A.M.R.; Pinheiro, L.C.S.; Rodrigues, C.R.; Loureiro, N.I.V.; Castro, H.C.; Lanfredi-Rangel, A.; Sabatini-Lopes, J.; Borges, J.C.; Carvalho, J.M.; Romeiro, G.A.; Ferreira, V.F.; Frugulhetti, I.C.P.P.; Vannier-Santos, M.A. Bioorg. Med. Chem. 2006, 14, 5765-5770.
  23. Bharatam, P.V. Modeling and Informatics in Drug Design. Precilinical Development Handbook. 2008, 1-47.
  24. Hopfinger, A.J.; Wang, S.; Tokarski, J.S.; Jin, B.; Albuquerque, M.; Madhav, P.J.; Duraiswami, C. J. Am. Chem. Soc. 1997, 119, 10509-10524.
  25. Karelson, M.; Lobanov, V.S.; Katritzky, A.R. Chem. Rev. 1996, 96, 1027-1044.
  26. Bersuker, I. B.; Dimoglo, A.S. In Reviews in Computational Chemistry, Lipkowitz, K. B.,Boyd, D.B., Eds.; VCH: New York,NY, U.S.A., 1991; Vol 2, pp 423-460.
  27. Bersuker, I.B.; Dimoglo, A.S.; Yu, M.; Gorbachov, P.; Vlad, F.; Pesaro, M. New J. Chem. 1991, 15, 307-320.
  28. Dimoglo, A.S.; Beda, A.A.; Shvets, N.M.; Gorvachov, M.Y.; Kheifits, L.A.; Aulchenko, I.S. New. J. Chem. 1995, 19, 149-154.
  29. Guzel, Y.; Saripinar, E.; Yildirim, I. J. Mol. Struct. 1997, 418, 83-91.
  30. Guzel, Y.; Ozturk, E. Bioorg. Med. Chem. 2003, 11, 4383-4388.
  31. Bersuker, I.B. J Comput. Aided Mol. Des. 2008, 22, 423–430.
  32. Bersuker, I.B.; Bahceci, S.; Boggs, E.J. The Electron Conformational Method of Identification of Pharmacophore and Anti-Pharmacophore Shielding. In Pharmacophore Perception. Development, and Use in Drug Design. Guner OF., Ed.; International University Line: La Jolla, 2000, 457-474.
  33. Bersuker, I.B.; Bahceci, S.; Boggs, E.J.; Pearlman, R.S. J. Comput. Aided Mol. Des. 1999, 13, 419-434.
  34. Bersuker, I.B.; Bahceci, S.; Boggs, E.J.; Pearlman, R.S. EnViron. Res. 1999, 10, 157-173.