Browsing by Author "Caballero, Julio"
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- Item3D-QSAR Modeling of Non-peptide Antagonists for the Human Luteinizing Hormone-releasing Hormone Receptor(2013) Tundidor Camba, Alain; Caballero, Julio; Coll Herrera, Deysma
- ItemChalcone derivatives as non-canonical ligands of TRPV1(2019) Benso, Bruna; Bustos, Daniel; Zarraga, Miguel O.; González, Wendy; Caballero, Julio; Brauchi, Sebastián
- ItemInclusion complexes containing poly(epsilon-caprolactone)diol and cyclodextrins. Experimental and theoretical studies(2009) Saldías, César; Gargallo Gómez, Ligia Teresita; Sandoval, Claudia; Leiva Campusano, Ángel; Radić Foschino, Deodato D.; Caballero, Julio; Saavedra, Mario; Gonzalez-Nilo, Fernando D.
- ItemLinear and nonlinear QSAR study of N-hydroxy-2-[(phenylsulfonyl)amino]acetamide derivatives as matrix metalloproteinase inhibitors(2006) Fernandez, Michael; Caballero, Julio; Tundidor Camba, Alain
- ItemQuantitative Structure-Activity Relationship of Organosulphur Compounds as Soybean 15-Lipoxygenase Inhibitors Using CoMFA and CoMSIA(WILEY-BLACKWELL PUBLISHING, INC, 2010) Caballero, Julio; Fernandez, Michael; Coll, DeysmaThree-dimensional quantitative structure-activity relationship studies were carried out on a series of 28 organosulphur compounds as 15-lipoxygenase inhibitors using comparative molecular field analysis and comparative molecular similarity indices analysis. Quantitative information on structure-activity relationships is provided for further rational development and direction of selective synthesis. All models were carried out over a training set including 22 compounds. The best comparative molecular field analysis model only included steric field and had a good Q2 = 0.789. Comparative molecular similarity indices analysis overcame the comparative molecular field analysis results: the best comparative molecular similarity indices analysis model also only included steric field and had a Q2 = 0.894. In addition, this model predicted adequately the compounds contained in the test set. Furthermore, plots of steric comparative molecular similarity indices analysis field allowed conclusions to be drawn for the choice of suitable inhibitors. In this sense, our model should prove useful in future 15-lipoxygenase inhibitor design studies.