Pharmacokinetic and toxicological prediction of the chemical constituents of the essential oil of the leaves of Croton heliotropiifolius Kunth.

The development of new drugs through studies of candidate molecules is a complex undertaking; however, computational or in silico approaches aimed at optimizing molecules with greater development potential are being utilized for predictions of pharmacokinetic properties such as absorption, distribution, metabolism and excretion (ADME) as well as toxicological parameters. The objective of this study was to examine in silico and in vivo pharmacokinetic and toxicological properties of the chemical constituents present in the essential oil of Croton heliotropiifolius Kunth leaves. The following Pubchem platform as well as Software SwissADME and PreADMET software were employed for in silico studies while micronucleus (MN) testing for in vivo determination of mutagenicity, using Swiss adult male Mus musculus mice. In silico findings demonstrated that all chemical constituents presented (1) high oral absorption (2) medium cellular permeability and (3) high blood brain permeability. As for toxicity, these chemical constituents exhibited low to medium risk of occurrence of cytotoxicity. Regarding in vivo evaluation, peripheral blood samples obtained from animals tested with the oil showed no significant differences in number of MN compared to negative controls. Data indicate that further investigations are necessary to corroborate the findings of this study. Our data suggest that essential oil extracted from Croton heliotropiifolius Kunth leaves may serve as a candidate for new drug development.

Cry1A(b)16 toxin from Bacillus thuringiensis: Theoretical refinement of three-dimensional structure and prediction of peptides as molecular markers for detection of genetically modified organisms.

Transgenic maize produced by the insertion of the Cry transgene into its genome became the second most cultivated crop worldwide. Cry gene from Bacillus thuringiensis kurstaki expresses protein derivatives of crystalline endotoxins which confer insect resistance onto the maize crop. Mandatory labeling of processed food containing or made by genetically modified organisms is in force in many countries, so, it is very urgent to develop fast and practical methods for GMO identification, for example, biosensors. In the absence of an available empirical structure of Cry1A(b)16 protein, a theoretical model was effectively generated, in this work, by homology modeling and molecular dynamics simulations based on two available homologous protein structures. Molecular dynamics simulations were carried out to refine the selected model, and an analysis of its global structure was performed. The refined models of Cry1A(b)16 showed a standard fold and structural characteristics similar to those seen in Bacillus thuringiensis Cry1A(a) insecticidal toxin and Bacillus thuringiensis serovar kurstaki Cry1A(c) toxin. After in silico analysis of Cry1A(b)16, two immunoreactive candidate peptides were selected and specific polyclonal antibodies were produced resulting in antibody-peptide interaction. Biosensing devices are expected to be developed for detection of the Cry1A(b) protein as a marker of transgenic maize in food. Proteins 2017; 85:1248-1257. © 2017 Wiley Periodicals, Inc.