QSAR AND DOCKING STUDY ON INDOLIZINES BY SIMILARITY CLUSTERING
Keywords:
Indolizines, QSAR (Quantitative Structure-Activity Relationships), IC50, similarity, Hypermolecule, Docking, Binding energyAbstract
A Quantitative Structure-Activity Relationship study, based on molecular descriptors calculated with correlation weights within the hypermolecule, that mimics the investigated correlational space, was performed on a set of 25indolizines (PubChem database). The best models describing IC50 of this set of indolizines were validated by the leave-one-out procedure, in the external test set and in a new version of prediction by using clusters of similar molecules. The best prediction was provided by the similarity cluster procedure.
References
G.S. Singh, E.E. Mmatli, Eur. J. Med. Chem., 2011, 46, 5237-5257.
T. Przewloka, S. Chen, Zh. Xia, H. Li, Sh. Zhang,D. Chimmanamada, E. Kostik, D. James, K. Koya, L. Sun, Tetrahedron Letters, 2007, 48, 5739–5742.
I.V. Seregin, A.W. Schammel, V. Gevorgyan, Tetrahedron, 2008, 64, 6876–6883.
S.S. Juang, M. Chang, L.F. Wang, J.L. Han, C.H. Ong, Tetrahedron, 2005, 61, 1693-1697.
PubChem database, accessed 10.05. 2014.
G.S. Singh, E.E. Mmatli, European Journal of Medicinal Chemistry, 2011, 465237-5257.
H.M. Berman, K. Henrick, H. Nakamura, Announcing the worldwide Protein Data Bank Nature Structural Biology, 2003, 10, 12, 98.
O. Trott, A.J. Olson, Journal of Computational Chemistry, 2010, 31, 455-461.
K. Dhananjayan, K. Kalathil, A. Sumathy, P. Sivanandy, Der Pharma Chemica, 2014, 6, 2, 378-387.
R. Abagyan, M. Totrov, Curr Opin Chem Biol., 2001, 5: 375-82.
Gaussian 09, Gaussian Inc C.T. Wallingford, Revision A.1 M.J. Frisch, G.W. Trucks, H.B. Schlegel, G.E. Scuseria, M.A. Robb, J.R. Cheeseman, G. Scalmani, V. Barone, B. Mennucci, G.A. Petersson, H. Nakatsuji, M. Caricato, X. Li, H.P. Hratchian, A.F. Izmaylov, J. Bloino, G. Zheng, J.L. Sonnenberg, M. Hada, M. Ehara, K. Toyota, R. Fukuda, J. Hasegawa, M. Ishida, T. Nakajima, Y. Honda, O. Kitao, H. Nakai, T. Vreven, J.A.Montgomery, J.E. Peralta, F. Ogliaro, M. Bearpark, J.J. Heyd,E. Brothers, K.N. Kudin, V.N. Staroverov, Kobayashi R., Normand J., Raghavachari K., Rendell A., Burant J.C., Iyengar S.S., Tomasi J., Cossi M., Rega N., N.J. Millam,M. Klene, J.E. Knox, J.B. Cross, V. Bakken, C. Adamo, J. Jaramillo, R. Gomperts, R.E. Stratmann, O. Yazyev, A.J. Austin, R. Cammi, C. Pomelli, J.W. Ochterski, R.L. Martin, K. Morokuma, V.G. Zakrzewski, G.A. Voth, P. Salvador, J.J. Dannenberg, S. Dapprich, A.D. Daniels, Ö. Farkas, J.B. Foresman, J.V. Ortiz, J. Cioslowski, D.J. Fox, 2009.
O. Ursu, M.V. Diudea, TopoCluj software program. Babes-Bolyai University Cluj, 2005.
J.G. Topliss, R. J. Costello, J. Med. Chem. 1972, 15, 1066-1068.
L. Jäntschi, LOO Analysis (LOO: leave one out), Academic Direct Library of software, 2005. Available at: http://l.academicdirect.org/Chemistry/SARs/MDF_SARs/loo/.
T.E. Harsa, A.M. Harsa, B. Szefler, Cent. Eur. J. Chem., 2014, 12, 365-376.
S.D. Bolboacă, L. Jäntschi, and M.V. Diudea, Current Computer-Aided Drug Design, 2013, 9, 2, 195-205.
A.M. Harsa, T.E. Harsa, S.D. Bolboacă, M.V. Diudea, Current Computer-Aided Drug Design, 2014, 2, 10, 115-128.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2015 Studia Universitatis Babeș-Bolyai Chemia

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