Py-CoMFA, docking, and molecular dynamics simulations of Leishmania (L.) amazonensis arginase inhibitors.

Leishmaniasis is a disease caused by a protozoan of the genus Leishmania, affecting millions of people, mainly in tropical countries, due to poor social conditions and low economic development. First-line chemotherapeutic agents involve highly toxic pentavalent antimonials, while treatment failure is mainly due to the emergence of drug-resistant strains. Leishmania arginase (ARG) enzyme is vital in pathogenicity and contributes to a higher infection rate, thus representing a potential drug target. This study helps in designing ARG inhibitors for the treatment of leishmaniasis. Py-CoMFA (3D-QSAR) models were constructed using 34 inhibitors from different chemical classes against ARG from L. (L.) amazonensis (LaARG). The 3D-QSAR predictions showed an excellent correlation between experimental and calculated pIC50 values. The molecular docking study identified the favorable hydrophobicity contribution of phenyl and cyclohexyl groups as substituents in the enzyme allosteric site. Molecular dynamics simulations of selected protein-ligand complexes were conducted to understand derivatives' interaction modes and affinity in both active and allosteric sites. Two cinnamide compounds, 7g and 7k, were identified, with similar structures to the reference 4h allosteric site inhibitor. These compounds can guide the development of more effective arginase inhibitors as potential antileishmanial drugs.

Development of SEDDS formulation containing caffeine for dermal delivery.

OBJECTIVE: The objective of this work was to develop a self-emulsifying drug delivery system (SEDDS) containing caffeine for the treatment of cellulite. METHODS: SEDDS were prepared using the solution method. 0.5% (w/v) caffeine was added to the previously selected excipients. The system was characterized by droplet size, zeta potential, emulsification time and long-term stability. In vitro release and skin permeation were investigated using Franz-type diffusion cells. The cytotoxicity was evaluated on normal human keratinocytes. RESULTS: Caffeine SEDDS were thermodynamically stable, with a zeta potential less than - 22 mV and droplet size around 30 nm, and were long-term stable. The permeation study showed that the formulation promoted caffeine accumulation in the skin layers, suggesting an increase in local circulation. Cytotoxicity studies on HaCaT cells were not conclusive as the surfactant used indicated false-positive results due to its high molar mass. CONCLUSION: It was possible to obtain a stable SEDDS that could cause an increase in blood flow in the applied area, resulting in cellulite reduction.

OBJECTIF: L'objectif de ce travail était de développer un système d'administration de médicaments auto-émulsifiants (SEDDS) contenant de la caféine pour le traitement de la cellulite. MÉTHODES: Les SEDDS ont été préparés par la méthode en solution. 0,5 % (p/v) de caféine a été ajouté aux excipients préalablement sélectionnés. Le système a été caractérisé par la taille des gouttelettes, le potentiel zêta, le temps d'émulsification et la stabilité à long terme. La libération in vitro et la perméation cutanée ont été étudiées dans des cellules de diffusion de type Franz. La cytotoxicité était évaluée sur des kératinocytes humains normaux. RÉSULTATS: Les SEDDS de caféine étaient thermodynamiquement stables, avec un potentiel Zeta inférieur à -22 mV et une taille de gouttelettes d'environ 30 nm, et stables à long terme. L'étude de perméation a montré que les formulations favorisent l'accumulation de caféine dans les couches de la peau, suggérant une augmentation de la circulation locale. Les études de cytotoxicité sur les cellules HaCaT n'ont pas été concluantes car le surfactant utilisé indique des résultats faussement positifs dus à une masse molaire élevée. CONCLUSION: Il a été possible d'obtenir un SEDDS stable qui peut provoquer une augmentation du flux sanguin dans la zone appliquée, entraînant une réduction de la cellulite.

Evaluation of Biological Activities of Quinone-4-oxoquinoline Derivatives against Pathogens of Clinical Importance.

BACKGROUND: Microbial resistance has become a worldwide public health problem and may lead to morbidity and mortality in affected patients. OBJECTIVES: Therefore, this work aimed to evaluate the antibacterial activity of quinone-4- oxoquinoline derivatives. METHODS: These derivatives were evaluated against Gram-positive and Gram-negative bacteria by their antibacterial activity, anti-biofilm, and hemolytic activities and in silico assays. RESULTS: The quinone-4-oxoquinoline derivatives presented broad-spectrum antibacterial activities and, in some cases, were more active than commercially available reference drugs. These compounds also inhibited bacterial adhesion, and the assays revealed seven non-hemolytic derivatives. The derivatives seem to cause damage to the bacterial cell membrane, and those containing the carboxyl group at the C-3 position of the 4-quinolonic nucleus were more active than those containing a carboxyethyl group. CONCLUSION: The isoquinoline-5,8-dione nucleus also favored antimicrobial activity. The study showed that the target of the derivatives must be a non-conventional hydrophobic allosteric binding pocket on the DNA gyrase enzyme.

Molecular modeling as a design tool for sunscreen candidates: a case study of bemotrizinol.

Sunscreen-based photoprotection is an important strategy to prevent photoaging and skin cancer. Among the effective and modern sunscreens, triazine compounds are known as an important class based on their physical-chemical properties, such as photostability and UV broad-spectrum absorption (UVA and UVB). Molecular modeling and quantum mechanical calculations approaches can be helpful to orientate the design of sunscreens. Herein, a case study is presented to demonstrate the importance of the molecular modeling as a design tool for promising sunscreen candidates based on the synthesis research previously described of bemotrizinol, a broad-spectrum photostable organic UV filter present in many sunscreens products. Time-dependent density functional theory (TD-DFT) calculations performed in gas phase on the isolated organic UV filters proved to reproduce the experimental UV absorption, guiding the choice of the most efficient candidate as sunscreen. The present work highlights the importance of molecular modeling as an effective tool to support synthesis research, increasing the possibility of obtaining promising compounds with reduced costs and effluent production. Graphical abstractA case study to demonstrate the importance of the molecular modeling as a design tool for promising sunscreen candidates is presented. The method proved to be a valuable tool to reproduce the experimental UV absorption and to determinate the most efficient molecule as sunscreen among the candidates.