Orofacial antinociceptive activity and anchorage molecular mechanism in silico of geraniol

Abstract We aimed to evaluate the orofacial antinociceptive effect of geraniol in mice and its molecular anchorage mechanism. Seven mice per group (probabilistic sample) were treated with geraniol (12.5, 25 and 50 mg/kg, i.p.), morphine (6 mg/kg, i.p.) and vehicle (saline + Tween 80 at 0.2%, i.p.) 30 minutes prior to the beginning of the experiment. Injecting glutamate (25 μM), capsaicin (2.5 μg) and formalin (2%) into the right upper lip (perinasal) of the mouse induced nociception. Behavioral analysis of the animals considered the friction time (in seconds) of the mentioned region using hind or front paws by a researcher blinded to the treatment groups. The statistical analysis was performed blindly, considering α = 5%. The results showed that in the glutamate and capsaicin tests, concentrations of 25 mg/kg and 50 mg/kg presented antinociceptive activity (p < 0.005, power> 80%). In the formalin test, geraniol was able to reduce nociception at a concentration of 50 mg/kg (p < 0.005, power> 80%). In the molecular anchorage study, high values of binding between the evaluated substance and receptors of glutamate were observed (metabotropic glutamate receptor, -87.8501 Kcal/mol; N-methyl-D-aspartate, -86.4451 Kcal/mol; α-amino-3-hydroxy-5-methyl-4-isoxazole propionic acid, -85.6755 Kcal/mol). Geraniol presented orofacial antinociceptive activity, probably by interacting with glutamate-related receptors.

Virtual screening of secondary metabolites of the genus Solanum with potential antimicrobial activity

ABSTRACT Infectious diseases are a health problem today and have high mortality rates with a wide diversity of potentially pathogenic microorganisms. Research that is based either on the search for new drugs from plants or on the improvement of phytotherapeutics is prominent and continues to play an important role nowadays. From this perspective, use of in silico studies to carry out investigations of new molecules potentially active for methicillin-resistant Staphylococcus aureus and Escherichia coli using an in-house database with 421 different secondary metabolites selected from the literature from Solanum genus was performed. We also realized an in vitro study with strains of S. aureus and E. coli and compared the results. Two databases from ChEMBL were selected, the first one with activity against methicillin-resistant S. aureus and another against E. coli. The compounds were classified according to the pIC50 values to generate and validate the model using a "Random Forest". The "Random Forest" prediction model for methicillin-resistant S. aureus obtained an accuracy of 81%, area under the Receiver Operating Characteristic curve of 0.885, selecting eight molecules with an active potential above 60%. The prediction model for E. coli obtained an accuracy rate of 88%, area under the Receiver Operating Characteristic curve of 0.932, selecting four molecules with potential probability above 84%. Rutin proved to be potentially active in the in silico study for S. aureus and E. coli. Microbiological tests have shown that rutin has activity only for E. coli. An interaction study with strains of S. aureus ATCC 25923, a standard strain sensitive to all antibiotics, and SAM-01, a multidrug-resistant strain, was designed. There was interaction only between rutin and oxacillin, one of the three antibiotics studied in the interaction, for the strain SAM-01, reducing the resistance of this strain.

Drug discovery and computational strategies in the multitarget drugs era

The pharmaceutical industry is increasingly joining chemoinformatics in the search for the development of new drugs to be used in the treatment of diseases. These computational studies have the advantage of being less expensive and optimize the study time, and thus the interest in this area is increasing. Among the techniques used is the development of multitarget directed ligands (MTDLs), which has become an ascending technique, mainly due to the improvement in the quality of treatment involving several drugs. Multitarget therapy is more effective than traditional drug therapy that emphasizes maximum selectivity for a single target. In this review a multitarget drug survey was carried out as a promising strategy in several important diseases: neglected diseases, neurodegenerative diseases, AIDS, and cancer. In addition, we discuss Computer-Aided Drug Design (CADD) techniques as a tool in the projection of multitarget compounds against these diseases.

Combined structure- and ligand-based virtual screening to evaluate caulerpin analogs with potential inhibitory activity against monoamine oxidase B

Abstract Natural marine products can help increase the quality of life in patients with neurological diseases. A large number of marine products act against Alzheimer's disease through varying pathways. According to structure- and ligand-based analyses, caulerpin, an alkaloid primarily isolated from the genus Caulerpa, possesses activity against monoamine oxidase B. To predict the activity of caulerpin, we employed Volsurf descriptors and the machine learning Random Forest algorithm in parallel with a structure-based methodology that included molecular docking. Using caulerpin as a lead compound, a database containing 108 analogs was evaluated, and nine were selected as active. The structures selected as active exhibited polar and non-polar substitutions on the caulerpin skeleton, which were relevant for their activity. Dragon consensus drug-like scoring was applied to identify the active analogs that might serve as good drug candidates, and the entire group presented satisfactory performance. These results indicate the possibility of using these analogs as potential leads against Alzheimer's disease.

13C NMR spectral data and molecular descriptors to predict the antioxidant activity of flavonoids / Dados espectrais de RMN 13C e descritores moleculares para prever a atividade antioxidante dos flavonóides

Tissue damage due to oxidative stress is directly linked to development of many, if not all, human morbidity factors and chronic diseases. In this context, the search for dietary natural occurring molecules with antioxidant activity, such as flavonoids, has become essential. In this study, we investigated a set of 41 flavonoids (23 flavones and 18 flavonols) analyzing their structures and biological antioxidant activity. The experimental data were submitted to a QSAR (quantitative structure-activity relationships) study. NMR 13C data were used to perform a Kohonen self-organizing map study, analyzing the weight that each carbon has in the activity. Additionally, we performed MLR (multilinear regression) using GA (genetic algorithms) and molecular descriptors to analyze the role that specific carbons and substitutions play in the activity.

Danos aos tecidos devido ao estresse oxidativo estão diretamente ligados ao desenvolvimento de muitos, senão todos, os fatores de sedentarismo e de doenças crônicas. Neste contexto, a busca de moléculas naturais, que participam da nossa dieta e que possuam atividade antioxidante, flavonóides, torna-se de grande interesse. Neste estudo, nós investigamos um conjunto de 41 flavonóides (23 flavonas e 18 flavonóis), relacionando suas estruturas e atividade antioxidante. Os dados experimentais foram submetidos à análise de QSAR (relações quantitativas estrutura-atividade). Dados de RMN 13C foram utilizados para realizar um estudo do mapa auto-organizável de Kohonen, analisando o peso que cada carbono tem na atividade. Além disso, realizamos uma MLR (regressão múltipla) usando GA (algoritmos genéticos) e descritores moleculares para avaliar a influência de carbonos e substituições na atividade.

Molecular physicochemical parameters predicting antioxidant activity of Brazilian natural products / Parâmetros físico-químicos na predição da atividade antioxidante de produtos naturais brasileiros

Reactive oxygen species (ROS) are capable of oxidizing cellular proteins, nucleic acids and lipids, contributing to cellular aging, mutagenesis, carcinogenesis, coronary heart and neurodegenerative diseases. Free radicals-scavenging by phenolic compounds occurs by the transfer of one electron followed by the H-abstraction. In order to evaluate the antioxidant activity of a series of seventeen phenolic compounds extracted from Brazilian flora (Chimarrhis turbinata and Arrabidea samydoides), some physicochemical parameters (heat formation of the neutral, radical, and cationic compounds; orbitals' energies; ClogP; ΔH OX; and ΔHf) were calculated. Considering the results from the calculated descriptors, the molecules 10a-f can be classified as having a higher antioxidant activity.

Espécies reativas de oxigênio (ROS) são capazes de oxidar proteínas celulares, ácidos nucléicos e lipídios; contribuindo para os processos de envelhecimento celular, mutações genéticas, doenças coronarianas, neoplásicas, degenerativas, dentre outras. Compostos fenólicos neutralizam a reatividade radicalar através da transferência de um elétron da sua estrutura molecular, seguida da abstração de um próton. Este trabalho avaliou a atividade antioxidante de dezessete compostos fenólicos, extraídos de duas plantas da flora nacional (Chimarrhis turbinata e Arrabidea samydoides). Através da modelagem molecular foram obtidos diversos parâmetros, como energias orbitalares, calor de formação das espécies neutras, radicalares e catiônicas, ΔH OX, ΔHf e ClogP; que permitem predizer a atividade e indicar maior poder antioxidante nas moléculas 10 (a a f) para avaliação experimental.

Modelagem molecular aplicada ao desenvolvimento de moléculas com atividade antioxidante visando ao uso cosmético / Molecular modeling applied to the development of molecules with antioxidant activity for cosmetic use

Várias hipóteses e constantes estudos são realizados com o intuito de elucidar o envelhecimento cutâneo. Para prevenir e contornar este processo torna-se necessário reforçar nossas defesas naturais antioxidantes endógenas. Diversas substâncias antioxidantes exógenas, como vitaminas, extratos vegetais, dentre outras, são utilizadas pela Cosmetologia nos produtos antienvelhecimento. O objetivo deste artigo é apresentar de que forma a Modelagem Molecular pode ser uma ferramenta útil na pesquisa por novas substâncias cosméticas antioxidantes para combater o envelhecimento cutâneo.

Some hypotheses and constants studies are made with intention to elucidate the aging process. To prevent and to attenuate the cutaneous aging it becomes necessary to strengthen our endogenous antioxidant natural defenses. Diverse exogenous antioxidant substances, as vitamins, vegetal extracts and others, have been used by the Cosmetology in antiaging products. The objective of this paper is to show how the Molecular Modeling can be an useful tool in the research for new antioxidant cosmetic substances to face the cutaneous aging.