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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Predicting Novel Antitumor Agents: 3D-Pharmacophore Mapping of beta-N-biaryl Ether Sulfonamide-Based Hydroxamates as Potentially MMP-2 Inhibitors

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Author(s):
Turra, Kely Medeiros [1] ; Rivelli, Diogo Pineda [1] ; de Moraes Barros, Silvia Berlanga [1] ; Mesquita Pasqualoto, Kerly Fernanda [2]
Total Authors: 4
Affiliation:
[1] Univ Sao Paulo, Lab Cytopathol, Dept Clin Chem & Toxicol, Fac Pharmaceut Sci, BR-05508000 Sao Paulo - Brazil
[2] Butantan Inst, Biochem & Biophys Lab, BR-05503900 Sao Paulo - Brazil
Total Affiliations: 2
Document type: Journal article
Source: MOLECULAR INFORMATICS; v. 33, n. 9, p. 573-587, SEP 2014.
Web of Science Citations: 2
Abstract

Matrix metalloproteinases (MMP) are a group of enzymes related to extracelular matrix remodeling. Some types of MMP are overexpressed by malignant tumors, mainly the MMP-2 subtype, and have been associated to cancer invasiveness and metastasis. A receptor-independent (RI) 4D-QSAR formalism was applied, herein, to a set of forty beta-N-biaryl ether sulfonamide hydroxamates, previously reported as potent MMP-2 inhibitors, in order to map 3D-pharmacophore models and predict novel antitumor agents. The best RI 4D-QSAR model was statistically significant (N= 30, r(2) = 0.93, q(2) = 0.88, five occupancy descriptors (GCOD), LSE= 0.04, LOF= 0.11, outliers= 0), robust and not obtained by chance. The external predictability was 75% (test set; N= 8). A different orientation (binding mode) in the MMP-2 catalytic site was suggested regarding the most hydrophobic portion (R-1) of the compounds' structure. Compounds were predicted and their inhibitory activity against MMP-2 was calculated by using the optimum RI 4D-QSAR model. The findings have provided interesting information to drive the designing and synthesis of novel potentially MMP-2 inhibitors against melanoma invasion. (AU)

FAPESP's process: 10/19142-1 - Molecular modeling methods and Computer-Aided Molecular Design Formalism for elucidating the mechanism of action of matrix metalloproteinases inhibitors.
Grantee:Kely Medeiros Turra
Support Opportunities: Scholarships in Brazil - Doctorate