0000000001009905

AUTHOR

Facundo Pérez-jiménez

showing 2 related works from this author

Anti-Inflammatory Activity and Cheminformatics Analysis of New Poten t 2-Substituted 1-Methyl-5-Nitroindazolinones.

2018

After the identification of the anti-inflammatory properties of VA5-13l (2-benzyl-1- methyl-5-nitroindazolinone) in previous investigations, some of its analogous compounds were designed, synthesized and evaluated in two anti-inflammatory methods: LPS-enhanced leukocyte migration assay in zebrafish; and 12-O-tetradecanoylphorbol-13-acetate (TPA)-induced mouse ear edema. The products evaluated (3, 6, 8, 9 and 10) showed the lower values of relative leukocyte migration at 30#181;M (0.14, 0.07, 0.10, 0.13 and 0.07, respectively), while in ear edema and myeloperoxidase activity methods, all the compounds reduced inflammation, only 4 and 16 yielded unsatisfactory results. The relationship linkin…

0301 basic medicineLipopolysaccharidesLeukocyte migrationIndazolesInformaticsStereochemistrymedicine.drug_classSubstituentNitric Oxide Synthase Type IINitric OxideAnti-inflammatory03 medical and health scienceschemistry.chemical_compoundStructure-Activity RelationshipDrug DiscoverymedicineMoietyStructure–activity relationshipAnimalsHumans[SDV.BBM]Life Sciences [q-bio]/Biochemistry Molecular BiologyMethyleneComputingMilieux_MISCELLANEOUSAlkylZebrafishchemistry.chemical_classificationIndazoleCyclooxygenase 2 InhibitorsDose-Response Relationship DrugMolecular StructureChemistryTumor Necrosis Factor-alphaAnti-Inflammatory Agents Non-SteroidalGeneral MedicineNitro Compounds3. Good health030104 developmental biologyCyclooxygenase 2Current topics in medicinal chemistry
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Bond-Based 2D Quadratic Fingerprints in QSAR Studies: Virtual and In vitro Tyrosinase Inhibitory Activity Elucidation

2010

In this report, we show the results of quantitative structure–activity relationship (QSAR) studies of tyrosinase inhibitory activity, by using the bond-based quadratic indices as molecular descriptors (MDs) and linear discriminant analysis (LDA), to generate discriminant functions to predict the anti-tyrosinase activity. The best two models [Eqs (6) and (12)] out of the total 12 QSAR models developed here show accuracies of 93.51% and 91.21%, as well as high Matthews correlation coefficients (C) of 0.86 and 0.82, respectively, in the training set. The validation external series depicts values of 90.00% and 89.44% for these best two equations (6) and (12), respectively. Afterwards, a second …

PharmacologyVirtual screeningQuantitative structure–activity relationshipChemistryStereochemistryTyrosinaseOrganic ChemistryLinear discriminant analysisBiochemistrychemistry.chemical_compoundQuadratic equationDiscriminantMolecular descriptorDrug DiscoveryMolecular MedicineKojic acidChemical Biology & Drug Design
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