Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto

About: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto is a based out in . It is known for research contribution in the topics: Population & Genus. The organization has 2143 authors who have published 3674 publications receiving 71071 citations. The organization is also known as: FFCLRP & FFCLRP-USP.

Primidone oxidation catalyzed by metalloporphyrins and Jacobsen catalyst

Abstract: Primidone (PRM) oxidation by various oxidants such as iodosylbenzene (PhIO), tert -butyl hydroperoxide 70 wt.% ( t -BOOH), 3-chloroperoxybenzoic acid ( m -CPBA) and hydrogen peroxide 30 wt.%, mediated by either a salen complex or metalloporphyrins, was investigated. The catalytic systems led to phenylethylmalondiamide (PEMA) and phenobarbital (FENO), the same metabolites obtained in vivo with P450 enzymes, although three other products were also detected. Product formation was highly dependent on the oxidant, co-catalyst (imidazole), pH and dioxygen. These biomimetic chemical models have potential application in the synthesis of drug metabolites, which should provide samples for pharmacological tests. They can also be employed in studies that pursue the elucidation of in vivo drug metabolism.

Prediction of Antimicrobial Activity of Synthetic Peptides by a Decision Tree Model

Abstract: Antimicrobial resistance is a persistent problem in the public health sphere However, recent attempts to find effective substitutes to combat infections have been directed at identifying natural antimicrobial peptides in order to circumvent resistance to commercial antibiotics This study describes the development of synthetic peptides with antimicrobial activity, created in silico by site-directed mutation modeling using wild-type peptides as scaffolds for these mutations Fragments of antimicrobial peptides were used for modeling with molecular modeling computational tools To analyze these peptides, a decision tree model, which indicated the action range of peptides on the types of microorganisms on which they can exercise biological activity, was created The decision tree model was processed using physicochemistry properties from known antimicrobial peptides available at the Antimicrobial Peptide Database (APD) The two most promising peptides were synthesized, and antimicrobial assays showed inhibitory activity against Gram-positive and Gram-negative bacteria Colossomin C and colossomin D were the most inhibitory peptides at 5 μg/ml against Staphylococcus aureus and Escherichia coli The methods described in this work and the results obtained are useful for the identification and development of new compounds with antimicrobial activity through the use of computational tools