[1]
Psomiadou, E.; Tsimidou, M. Stability of virgin olive oil: Autoxidation studies. J. Agric. Food Chem., 2002, 50, 716-721.
[2]
Merkl, R.; Hrádková, I.; Filip, V.; Šmidrkal, J. Antimicrobial and antioxidant properties of phenolic acids alkyl esters. Czech J. Food Sci., 2010, 28(4), 275-279.
[3]
Huang, W.Y.; Cai, Y.Z.; Zhang, Y. Natural phenolic compounds from medicinal herbs and dietary plants: Potential use for cancer prevention. Nutr. Cancer, 2010, 62(1), 1-20.
[4]
Mobley, H.L.; Hausinger, R.P. Microbial ureases: Significance, regulation, and molecular characterization. Microbiol. Rev., 1989, 53(1), 85-108.
[5]
Mobley, H.L.; Island, M.D.; Hausinger, R.P. Molecular biology of microbial ureases. Microbiol. Rev., 1995, 59(3), 451-480.
[6]
Collins, C.M.; D’Orazio, S.E. Bacterial ureases: Structure, regulation of expression and role in pathogenesis. Mol. Microbiol., 1993, 9, 907-913.
[7]
Ciurli, S.; Benini, S.; Rypniewski, W.R. Structural properties of the nickel ions in urease: Novel insights into the catalytic and inhibition mechanisms. Coord. Chem. Rev., 1999, 192, 331-355.
[8]
Sudha, K.N.; Mohammed, S.; Paturi, P.; Nalla, S.; Narasimha, K.C.H.; Padavala, A.B. Virtual screening for novel COX-2 inhibitors using the ZINC database. Bioinformation, 2008, 2, 325-329.
[11]
Lovell, S.C.; Davis, I.W.; Arendall, W.B.; de Bakker, P.I.; Word, J.M.; Prisant, M.G.; Richardson, J.S.; Richardson, D.C. Structure validation by Calpha geometry: phi, psi and Cbeta deviation. Proteins, 2003, 50, 437-450.
[12]
Kabsch, W.; Sander, C. Dictionary of protein secondary structure: Pattern recognition of hydrogen-bonded and geometrical features. Biopolymers, 1983, 22, 2577-2637.
[13]
Maestro, version 10.2; Schrödinger, LLC: New York, NY, 2015.
[14]
Friesner, R.A.; Banks, J.L.; Murphy, R.B.; Halgren, T.A.; Klicic, J.J.; Mainz, D.T.; Repasky, M.P.; Knoll, E.H.; Shelley, M.; Perry, J.K.; Shaw, D.E. Glide: A new approach for rapid, accurate docking and scoring. 1. Method and assessment of docking accuracy. J. Med. Chem., 2004, 47, 1739-1749.
[15]
Halgren, T.A.; Murphy, R.B.; Friesner, R.A.; Beard, H.S.; Frye, L.L.; Pollard, W.T.; Banks, J.L. Glide: A new approach for rapid, accurate docking and scoring enrichment factors in database screening. J. Med. Chem., 2004, 47, 1750-1759.
[16]
Glide, version 6.6; Schrödinger, LLC: New York, NY, 2015.
[17]
Friesner, R.A.; Murphy, R.B.; Repasky, M.P.; Frye, L.L.; Greenwood, J.R.; Halgren, T.A.; Sanschagrin, P.C.; Mainz, D.T. Extra precision glide: Docking and scoring incorporating a model of hydrophobic enclosure for protein-ligand complexes. J. Med. Chem., 2006, 49, 6177-6196.
[18]
Genheden, S.; Ryde, U. The MM/PBSA and MM/GBSA methods to estimate ligand-binding affinities. . Exp Opin. Drug Discov., 2015, 10, 449-461.
[19]
Godschalk, F.; Genheden, S.; Söderhjelm, P.; Ryde, U. Comparison of MM/GBSA calculations based on explicit and implicit solvent simulations. Phys. Chem. Chem. Phys., 2013, 15, 7731-7739.
[20]
Sengupta, D.; Verma, D.; Naik, P. K. Docking-MM-GB/SA and ADME screening of HIV-1 NNRTI inhibitor: Nevirapine and its analogues. In Silico Biol., 2008, 8, 275-289.
[21]
Cecchelli, R.; Berezowski, V.; Lundquist, S.; Culot, M.; Renftel, M.; Dehouck, M.P.; Fenart, L. Modelling of the blood-brain barrier in drug discovery and development. . Nat. Rev. Drug Discov., 2007, 6, 650-661.
[22]
Lipinski, C.A.; Lombardo, F.; Dominy, B.W.; Feeney, P.J. Experimental and computational approaches to estimate solubility and permeability in drug discovery and development settings. Adv. Drug Deliv. Rev., 2012, 64, 4-17.