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INTRODUCTION: The study of Candida glabrata genes associated with fluconazole resistance, from a molecular perspective, increases the understanding of the phenomenon with a view to its clinical applicability. OBJECTIVE: We sought to establish the predictive molecular profile of fluconazole resistance in Candida glabrata by analyzing the ERG11, ERG3, CgCDR1, and CgSNQ2 genes. METHOD: Expression was quantified using RT-qPCR. Metrics were obtained through molecular docking and Fisher discriminant functions. Additionally, a predictive classification was made against the susceptibility of C. glabrata to fluconazole. RESULTS: The relative expression of the ERG3, CgCDR1, and CgSNQ2 genes was higher in the fluconazole-resistant strains than in the fluconazole-susceptible, dose-dependent strains. The gene with the highest relative expression in the fluconazole-exposed strains was CgCDR1, and in both the resistant and susceptible, dose-dependent strains exposed to fluconazole, this was also the case. The molecular docking model generated a median number of contacts between fluconazole and ERG11 that was lower than the median number of contacts between fluconazole and ERG3, -CgCDR1, and -CgSNQ2. The predicted classification through the multivariate model for fluconazole susceptibility achieved an accuracy of 73.5%. CONCLUSION: The resistant strains had significant expression levels of genes encoding efflux pumps and the ERG3 gene. Molecular analysis makes the identification of a low affinity between fluconazole and its pharmacological target possible, which may explain the lower intrinsic susceptibility of the fungus to fluconazole.

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Visceral Leishmaniasis (VL) is a serious public health issue, documented in more than ninety countries, where an estimated 500,000 new cases emerge each year. Regardless of novel methodologies, advancements, and experimental interventions, therapeutic limitations, and drug resistance are still challenging. For this reason, based on previous research, we screened natural products (NP) from Nuclei of Bioassays, Ecophysiology, and Biosynthesis of Natural Products Database (NuBBEDB), Mexican Compound Database of Natural Products (BIOFACQUIM), and Peruvian Natural Products Database (PeruNPDB) databases, in addition to structural analogs of Miglitol and Acarbose, which have been suggested as treatments for VL and have shown encouraging action against parasite's N-glycan biosynthesis. Using computer-aided drug design (CADD) approaches, the potential inhibitory effect of these NP candidates was evaluated by inhibiting the Mannosyl-oligosaccharide Glucosidase Protein (MOGS) from Leishmania infantum, an enzyme essential for the protein glycosylation process, at various pH to mimic the parasite's changing environment. Also, computational analysis was used to evaluate the Absorption, Distribution, Metabolism, Excretion, and Toxicity (ADMET) profile, while molecular dynamic simulations were used to gather information on the interactions between these ligands and the protein target. Our findings indicated that Ocotillone and Subsessiline have potential antileishmanial effects at pH 5 and 7, respectively, due to their high binding affinity to MOGS and interactions in the active center. Furthermore, these compounds were non-toxic and had the potential to be administered orally. This research indicates the promising anti-leishmanial activity of Ocotillone and Subsessiline, suggesting further validation through in vitro and in vivo experiments.

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In the age of information technology and the additional computational search tools and software available, this systematic review aimed to identify potential therapeutic targets for obesity, evaluated in silico and subsequently validated in vivo. The systematic review was initially guided by the research question "What therapeutic targets have been used in in silico analysis for the treatment of obesity?" and structured based on the acronym PECo (P, problem; E, exposure; Co, context). The systematic review protocol was formulated and registered in PROSPERO (CRD42022353808) in accordance with the Preferred Reporting Items Checklist for Systematic Review and Meta-Analysis Protocols (PRISMA-P), and the PRISMA was followed for the systematic review. The studies were selected according to the eligibility criteria, aligned with PECo, in the following databases: PubMed, ScienceDirect, Scopus, Web of Science, BVS, and EMBASE. The search strategy yielded 1142 articles, from which, based on the evaluation criteria, 12 were included in the systematic review. Only seven these articles allowed the identification of both in silico and in vivo reassessed therapeutic targets. Among these targets, five were exclusively experimental, one was exclusively theoretical, and one of the targets presented an experimental portion and a portion obtained by modeling. The predominant methodology used was molecular docking and the most studied target was Human Pancreatic Lipase (HPL) (n = 4). The lack of methodological details resulted in more than 50% of the papers being categorized with an "unclear risk of bias" across eight out of the eleven evaluated criteria. From the current systematic review, it seems evident that integrating in silico methodologies into studies of potential drug targets for the exploration of new therapeutic agents provides an important tool, given the ongoing challenges in controlling obesity.

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RESUMEN Objetivo: Los pacientes con cáncer de pulmón de células no pequeñas positivas a la mutación del gen linfoma anaplásico quinasa (ALK+) que, además, presentan mutaciones en el gen Kirsten rat sarcoma (KRAS), como KRASG12C, están mostrando resistencia tanto a inhibidores del gen linfoma anaplásico quinasa (ALK) como de KRAS. Por ello, se analizó la interacción de los inhibidores de ALK con KRAS, para sugerir una sinergia entre ambos. Materiales y métodos: En el estudio se realizó un modelado por homología de las estructuras KRASwt, KRASG12C y ALKwt. Posteriormente, se realizaron acoplamientos moleculares para determinar la energía de unión de los inhibidores de ALK y de KRAS, y evaluar la posible interacción entre los inhibidores de ALK con KRAS y la estructura KRASG12C. Finalmente, se analizó la expresión en la vía de proliferación celular de las proteínas rat sarcoma/quinasa regulada por señales extracelulares (vía RAS/MEK) mediante la técnica de Western blot. Resultados: Los valores de energía de unión muestran la posibilidad de interacción de los inhibidores de ALKwt, como crizotinib y alectinib, con las estructuras de KRASwt y KRASG12C. Los acoplamientos entre crizotinib con KRASwt y KRASG12C, respectivamente, muestran valores de energía de interacción (42,77 kcal/mol y 46,20 kcal/mol) muy similares a los obtenidos entre crizotinib y ALK (42,37 kcal/mol). A su vez, alectinib se acopló en el mismo sitio que los fármacos específicos de KRAS y KRASG12C, y presentaron valores de energía de interacción (51,74 kcal/mol y 54,69 kcal/mol, respectivamente) superiores a los obtenidos con ALK (44,94 kcal/mol). Finalmente, la expresión de la vía RAS/MEK nos mostró una disminución significativa de la expresión de RAS en líneas celulares de cáncer de pulmón ALK+ y ALKL1196M tratadas con crizotinib y alectinib. Conclusiones: Las técnicas in silico de este estudio muestran la posibilidad de acoplamiento entre los inhibidores de ALK (crizotinib y alectinib) con la estructura de KRAS. Esto permite sugerir una posible terapia combinada entre inhibidores de KRAS y ALK para los casos de coexistencia de ambas mutaciones, que puede evaluarse en posteriores ensayos con líneas celulares.

ABSTRACT Objective: Patients with non-small cell lung cancer positive for the anaplastic lymphoma kinase (ALK+) gene mutation who also have mutations in the Kirsten rat sarcoma (KRAS) gene, such as KRAS G12C, are showing resistance to both anaplastic lymphoma kinase (ALK) gene and KRAS inhibitors. Therefore, the interaction between ALK inhibitors and KRAS was analyzed to suggest a synergy between them. Materials and methods: The study performed homology modeling of the KRASwt, KRAS G12C and ALKwt structures. Subsequently, molecular dockings were carried out to determine the binding energy of ALK and KRAS inhibitors and to evaluate the possible interaction of ALK inhibitors with KRAS and the KRAS G12C structure. Finally, the expression in the RAS/MEK pathway was analyzed using the Western Blot technique. Results: The binding energy values show the potential interaction of ALKwt inhibitors, such as crizotinib and alectinib, with the KRASwt and KRAS G12C structures. The binding of crizotinib to KRASwt and KRAS G12C, respectively, indicates interaction energy values (42.77 kcal/mol and 46.20 kcal/mol) which are very similar to those obtained between crizotinib and ALK (42.37 kcal/mol). In turn, alectinib bound to the same site as drugs targeting KRAS and KRAS G12C, and showed interaction energy values (51.74 kcal/mol and 54.69 kcal/mol, respectively) higher than those obtained with ALK (44.94 kcal/mol). Finally, a significant decrease in RAS expression within the RAS/MEK pathway was observed in ALK+ and ALK 1196M lung cancer cell lines treated with crizotinib and alectinib. Conclusions: In silico techniques of this study demonstrate the potential binding of ALK inhibitors (crizotinib and alectinib) to the KRAS structure. In addition, this allows suggesting a possible combined therapy between KRAS and ALK inhibitors for cases of coexistence of both mutations that can be assessed in subsequent trials with cell lines.

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OBJECTIVES: The present study aimed to determine in silico toxicity predictions of test compounds from hydraulic calcium silicate-based sealers (HCSBS) and AH Plus and computationally simulate the interaction between these substances and mediators of periapical inflammation via molecular docking. MATERIALS AND METHODS: All chemical information of the test compounds was obtained from the PubChem site. Predictions for bioavailability and toxicity analyses were determined by the Molinspiration Cheminformatics, pkCSM, ProTox-II and OSIRIS Property Explorer platforms. Molecular docking was performed using the Autodock4 AMDock v.1.5.2 program to analyse interactions between proteins (IL-1ß, IL-6, IL-8, IL-10 and TNF-α) and ligands (calcium silicate hydrate, zirconium oxide, bisphenol-A epoxy resin, dibenzylamine, iron oxide and calcium tungstate) to establish the affinity and bonding mode between systems. RESULTS: Bisphenol-A epoxy resin had the lowest maximum dose tolerated in humans and was the test compound with the largest number of toxicological properties (hepatotoxicity, carcinogenicity and irritant). All systems had favourable molecular docking. However, the ligands bisphenol-A epoxy resin and dibenzylamine had the greatest affinity with the cytokines tested. CONCLUSION: In silico predictions and molecular docking pointed the higher toxicity and greater interaction with mediators of periapical inflammation of the main test compounds from AH Plus compared to those from HCSBS. CLINICAL RELEVANCE: This is the first in silico study involving endodontic materials and may serve as the basis for further research that can generate more data, producing knowledge on the interference of each chemical compound in the composition of different root canal sealers.

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Visceral Leishmaniasis (VL) has a high death rate, with 500,000 new cases and 50,000 deaths occurring annually. Despite the development of novel strategies and technologies, there is no adequate treatment for the disease. Therefore, the purpose of this study is to find structural analogs of natural products as potential novel drugs to treat VL. We selected structural analogs from natural products that have shown antileishmanial activities, and that may impede the purine salvage pathway using computer-aided drug-design (CADD) approaches. For these, we started with the vastly studied target in the pathway, the adenine phosphoribosyl transferase (APRT) protein, which alone is non-essential for the survival of the parasite. Keeping this in mind, we search for a substance that can bind to multiple targets throughout the pathway. Computational techniques were used to study the purine salvage pathway from Leishmania infantum, and molecular dynamic simulations were used to gather information on the interactions between ligands and proteins. Because of its low homology to human proteins and its essential role in the purine salvage pathway proteins network interaction, the findings further highlight the significance of adenylosuccinate lyase protein (ADL) as a therapeutic target. An analog of the alkaloid Skimmianine, N,N-diethyl-4-methoxy-1-benzofuran-6-carboxamide, demonstrated a good binding affinity to APRT and ADL targets, no expected toxicity, and potential for oral route administration. This study indicates that the compound may have antileishmanial activity, which was granted in vitro and in vivo experiments to settle this finding in the future.

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This study explored the potential of plant-derived molecules (PDMs) as a medicinal treatment for skin wounds. To assess their healing properties, 34 potential drug molecules (PDMs) and ten therapeutic targets were subjected to molecular docking and dynamics analysis, with allantoin used as a standard compound. Although aristolochic acid had the most potent inhibitory effect, its toxicity made it unsuitable for testing on cells and mice. Therefore, ß-caryophyllene (BC) and caryophyllene oxide (BCoxide) were chosen for further testing. The results showed that BC-treated HaCat cells had significantly improved scratch area closure, and both BC and BCoxide treatment produced positive effects such as reduced dermal cellularity and mast cells, decreased levels of inflammation markers IL-6 and TNF-α, and an increase in collagen deposition in mice tissues. However, these treatments did not accelerate wound healing. This study suggests that the PDMs selected based on in-silico results have significant potential for pro-healing abilities. It is essential to conduct further research to confirm our findings.

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Laccases are multicopper oxidases (MCOs) with a broad application spectrum, particularly in second-generation ethanol biotechnology and the bioremediation of xenobiotics and other highly recalcitrant compounds. Synthetic pesticides are xenobiotics with long environmental persistence, and the search for their effective bioremediation has mobilized the scientific community. Antibiotics, in turn, can pose severe risks for the emergence of multidrug-resistant microorganisms, as their frequent use for medical and veterinary purposes can generate constant selective pressure on the microbiota of urban and agricultural effluents. In the search for more efficient industrial processes, some bacterial laccases stand out for their tolerance to extreme physicochemical conditions and their fast generation cycles. Accordingly, to expand the range of effective approaches for the bioremediation of environmentally important compounds, the prospection of bacterial laccases was carried out from a custom genomic database. The best hit found in the genome of Chitinophaga sp. CB10, a Bacteroidetes isolate obtained from a biomass-degrading bacterial consortium, was subjected to in silico prediction, molecular docking, and molecular dynamics simulation analyses. The putative laccase CB10_180.4889 (Lac_CB10), composed of 728 amino acids, with theoretical molecular mass values of approximately 84 kDa and a pI of 6.51, was predicted to be a new CopA with three cupredoxin domains and four conserved motifs linking MCOs to copper sites that assist in catalytic reactions. Molecular docking studies revealed that Lac_CB10 had a high affinity for the molecules evaluated, and the affinity profiles with multiple catalytic pockets predicted the following order of decreasing thermodynamically favorable values: tetracycline (-8 kcal/mol) > ABTS (-6.9 kcal/mol) > sulfisoxazole (-6.7 kcal/mol) > benzidine (-6.4 kcal/mol) > trimethoprim (-6.1 kcal/mol) > 2,4-dichlorophenol (-5.9 kcal/mol) mol. Finally, the molecular dynamics analysis suggests that Lac_CB10 is more likely to be effective against sulfisoxazole-like compounds, as the sulfisoxazole-Lac_CB10 complex exhibited RMSD values lower than 0.2 nm, and sulfisoxazole remained bound to the binding site for the entire 100 ns evaluation period. These findings corroborate that LacCB10 has a high potential for the bioremediation of this molecule.

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The emergence of resistant bacteria strains against traditional antibiotics and treatments increases each year. Doderlin is a cationic and amphiphilic peptide active against gram-positive, negative and yeast stains. The aim of the present work was prospect potentials receptors associated of antimicrobial activity of Doderlin using in silico bioinformatics tools. To search for potential targets of Doderlin, PharmMapper software was used. Molecular docking between Doderlin and the receptor was performed by PatchDock. Additional interaction and ligand site prediction for each receptor was performed by I-TASSER software. Those PDB Id, 1XDJ (score: 11,746), 1JMH (score: 11,046), 1YR3 (score: 10,578), 1NG3 (score: 10,082) showed highest dock score. Doderlin was found to predicted/real sites co-localize with 1XDJ and 1JMH, enzymes accountable for nitrogenic bases synthesis. The resulting receptor bioprospecting is highly correlated and suggests that Doderlin might act by interfering with DNA metabolism/production of bacteria, altering microorganism homeostasis and growth impairment. Supplementary Information: The online version contains supplementary material available at 10.1007/s40203-023-00149-1.

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Bioprospecting and synthesis of strategically designed molecules have been used in the search for drugs that can be in leishmaniasis. Hydrazones (HDZ) are promising compounds with extensive biological activities. The objective of this work was to perform in silico studies of hydrazones 1-5 and to evaluate their antileishmanial, cytotoxic and macrophage immunomodulatory potential in vitro. Hydrazones were subjected to prediction and molecular docking studies. Antileishmanial protocols on promastigotes and amastigotes of Leishmania amazonensis, cytotoxicity and macrophage immunomodulatory activity were performed. Hydrazones showed a good pharmacokinetic profile and hydrazone 3 and hydrazone 5 were classified as non-carcinogenic. Hydrazone 5 obtained the best conformation with trypanothione reductase. Hydrazone 1 and hydrazone 3 obtained the best mean inhibitory concentration (IC50) values for promastigotes, 4.4-61.96 µM and 8.0-58.75 µM, respectively. It also showed good activity on intramacrophagic amastigotes, with hydrazone 1 being the most active (IC50 = 6.79 µM) with selectivity index of 56. In cytotoxicity to macrophages hydrazone 3 was the most cytotoxic (CC50 = 256.3 ± 0,04 µM), while hydrazone 4 the least (CC50 = 1055.9 ± 0.03 µM). It can be concluded that the hydrazones revealed important pharmacokinetic and toxicological properties, in addition to antileishmania potential in reducing infection and infectivity in parasitized macrophages.

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Background: Alzheimer´s disease (AD) is one of the most common forms of dementia, is characterized by memory loss and cognitive impairment that affects more than 30 million people worldwide. The pathogenesis of Alzheimer's disease is primary driven by brain accumulation of the amyloid ß peptide generated from the amyloid-ß precursor protein (APP) via cleavages by ß- and γ-secretase. In this study, we propose an approach by molecular docking to select compounds as γ-secretase inhibitors for decreasing the APP generation. Methods: We selected potential γ-secretase inhibitors by molecular docking in the potential site between Asp257, Lue268, Asp385, Ile387, Phe388, and Leu432 amino acids in presenilin-1 (PS-1), using a chemical library of over 500,000 compounds. Results: Eight compounds (AZ1 - AZ8) were selected by molecular docking to develop γ-secretase inhibitors for decreasing the APP generation. Conclusions: AZ1 - AZ8 compounds could be interacting in the potential site between Asp257, Lue268, Asp385, Ile387, Phe388, and Leu432 amino acids in PS-1. These compounds could specifically interact in the binding pocket in PS-1 to prevent/decrease the APP generation, to develop a new drug against Alzheimer's disease.

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The emergence of resistant bacteria strains against traditional antibiotics and treatments increases each year. Doderlin is a cationic and amphiphilic peptide active against gram-positive, negative and yeast stains. The aim of the present work was prospect potentials receptors associated of antimicrobial activity of Doderlin using in silico bioinformatics tools. To search for potential targets of Doderlin, PharmMapper software was used. Molecular docking between Doderlin and the receptor was performed by PatchDock. Additional interaction and ligand site prediction for each receptor was performed by I-TASSER software. Those PDB Id, 1XDJ (score: 11,746), 1JMH (score: 11,046), 1YR3 (score: 10,578), 1NG3 (score: 10,082) showed highest dock score. Doderlin was found to predicted/real sites co-localize with 1XDJ and 1JMH, enzymes accountable for nitrogenic bases synthesis. The resulting receptor bioprospecting is highly correlated and suggests that Doderlin might act by interfering with DNA metabolism/production of bacteria, altering microorganism homeostasis and growth impairment.

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Zika virus became a major public health problem in early 2015, when cases of Guillain-Barré syndrome and microcephaly were associated with viral infection. Currently, ZIKV is endemic in all tropical areas of the world, and the chance for future Zika epidemics remains very real and accurate diagnosis is crucial. The aim of this work was to select specific ssDNA aptamers that bind to the entire Zika virus and can be used to compose specific diagnostics, without cross-reactivity with other flaviviruses. Zika virus was cultivated in Vero cells and used as a target for aptamer selection. Aptamers specific for the ZIKV were selected using whole-virus SELEX, with counterselection for other flavivirus. Secondary and tertiary structures were evaluated and the molecular anchoring between the aptamers and target were simulated by the HDOCK server. Aptamer interaction was evaluated by ELISA/ELASA and the dissociation constant (Kd) was calculated by thermophoresis. Four ZIKV-specific aptamers were selected. The best two were further characterized and proved to be specific for ZIKV. Aptamers are capable of binding specifically to the ZIKV and differentiate from Dengue virus. The aptamers selected in this work can be used as capture agents in the composition of diagnostic tests to specifically detect ZIKV infection.

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The objectives of this study were to evaluate the hypoglycemic effect of the trypsin inhibitor isolated from tamarind seeds (TTI) in an experimental model of T2DM and the in silico interaction between the conformational models of TTI 56/287 and the insulin receptor (IR). After inducing T2DM, 15 male Wistar rats were randomly allocated in three groups (n = 5): 1-T2DM group without treatment; 2-T2DM group treated with adequate diet; and 3-T2DM treated with TTI (25 mg/kg), for 10 days. Insulinemia and fasting glucose were analyzed, and the HOMA-IR and HOMA-ß were calculated. The group of animals treated with TTI presented both lower fasting glucose concentrations (p = 0.0031) and lower HOMA-IR indexes (p = 0.0432), along with higher HOMA-ß indexes (p = 0.0052), than the animals in the other groups. The in silico analyses showed that there was an interaction between TTIp 56/287 and IR with interaction potential energy (IPE) of -1591.54 kJ mol-1 (±234.90), being lower than that presented by insulin and IR: -894.98 kJ mol-1 (±32.16). In addition, the presence of amino acids, type of binding and place of interaction other than insulin were identified. This study revealed the hypoglycemic effect of a bioactive molecule of protein origin from Tamarind seeds in a preclinical model of T2DM. Furthermore, the in silico analysis allowed the prediction of its binding in the IR, raising a new perspective for explaining TTI's action on the glycemic response.

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Alzheimer's disease (AD) is the leading cause of dementia worldwide. Despite causing great social and economic impact, there is currently no cure for AD. The most effective therapy to manage AD symptoms is based on acetylcholinesterase inhibitors (AChEi), from which rivastigmine presented numerous benefits. However, mutations in AChE, which affect approximately 5% of the population, can modify protein structure and function, changing the individual response to Alzheimer's treatment. In this study, we performed computer simulations of AChE wild type and variants R34Q, P135A, V333E, and H353N, identified by one or more genome-wide association studies, to evaluate their effects on protein structure and interaction with rivastigmine. The functional effects of AChE variants were predicted using eight machine learning algorithms, while the evolutionary conservation of AChE residues was analyzed using the ConSurf server. Autodock4.2.6 was used to predict the binding modes for the hAChE-rivastigmine complex, which is still unknown. Molecular dynamics (MD) simulations were performed in triplicates for the AChE wild type and mutants using the GROMACS packages. Among the analyzed variants, P135A was classified as deleterious by all the functional prediction algorithms, in addition to occurring at highly conserved positions, which may have harmful consequences on protein function. The molecular docking results suggested that rivastigmine interacts with hAChE at the upper active-site gorge, which was further confirmed by MD simulations. Our MD findings also suggested that the complex hAChE-rivastigmine remains stable over time. The essential dynamics revealed flexibility alterations at the active-site gorge upon mutations P135A, V333E, and H353N, which may lead to strong and nonintuitive consequences to hAChE binding. Nonetheless, similar binding affinities were registered in the MMPBSA analysis for the hAChE wild type and variants when complexed to rivastigmine. Finally, our findings indicated that the rivastigmine binding to hAChE is an energetically favorable process mainly driven by negatively charged amino acids.

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BACKGROUND/AIM: To identify the best of three isatin-based scaffolds in terms of anticancer activity. MATERIALS AND METHODS: Synthesis of isatin-based scaffolds was performed through a reaction to form Schiff bases. In silico analyses consisted of a target prediction with the Swiss Target Prediction tool and a molecular docking by AutoDock Vina. Anticancer activity and cytotoxicity were determined using the WST1 viability assay. RESULTS: Three scaffolds (IA, IB, and IC) were synthesized and confirmed with good reaction yields. The Swiss Target Prediction tool showed a trend towards kinases. Molecular docking assays demonstrated higher affinity of IC towards CDK2. Anticancer activity assays identified IC as the most active against the cancer cell lines. Cytotoxicity results in non-cancer cells suggested a lack of selectivity. CONCLUSION: The scaffold IC was identified as the best in terms of anticancer activity and these effects may be due to inhibition of CDK2, as evidenced by molecular docking.

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RESUMO: Modelo do estudo: Trata-se de um estudo experimental in vitro com abordagem computacional. Objetivo: Ana-lisar a existência de interação entre as drogas hidrofóbicas bezafibrato e hidroclorotiazida com a hemoglobina a fim de prever alterações na biodisponibilidade das drogas, bem como na função proteica. Metodologia: Testes de interação in vitro entre a hemoglobina bovina e bezafibrato ou hidroclorotiazida foram realizados por espectrofo-tometria; análises dos sítios de interação e extrapolações para a hemoglobina humana foram feitas por técnicas de bioinformática. Resultados: Os testes in vitro demonstraram diminuição de absorbância (k) em 405 nm igual a 8,75 x 10-4 min-1 para o bezafibrato e 6,25 x 10-4 min--1 para a hidroclorotiazida. A diminuição sugere interação das drogas com a hemoglobina, sendo que o bezafibrato parece interagir com afinidade ligeiramente maior. As análises in silico mostraram que as drogas se ligam à porção proteica da hemoglobina. A constante de afinidade de ligação obtida por ancoragem molecular para o bezafibrato com a hemoglobina bovina (-8,3 kcal/mol) corrobora com o valor experimental de k e com o maior número de interações observadas, em relação à hidroclorotiazida (-6,6 kcal/mol). O mesmo padrão é observado para a interação do bezafibrato (-7,6 kcal/mol) e da hidroclorotiazida (-6,7 kcal/mol) com a hemoglobina humana. Conclusão: As técnicas de espectrofotometria e bioinformática utilizadas sugerem a possibilidade de interação da hemoglobina com drogas de natureza hidrofóbica, como bezafibrato e hi-droclorotiazida, sendo que essa interação pode afetar a função normal da hemoglobina e alterar a farmacodinâmica e farmacocinética das drogas prejudicando sua eficiência terapêutica. (AU)

ABSTRACT: Study model: It is an in vitro experimental study with a computational approach. Objective: Analyze the presence of interaction between hydrophobic drugs bezafibrate and hydrochlorothiazide and hemoglobin to predict bioavailability changes as well as in the protein function. Metodology: The in vitro tests to evaluate the interaction between the bovine hemoglobin and bezafibrate and hydrochlorothiazide were perfomed by spectrophotometry; bioinformatic tools made interaction analysis and extrapolation for human hemoglobin. Results: The in vitro tests showed a decrease in the absorbance (k) at 405 nm equal to 8.75 x 10-4 min-1 for bezafibrate and 6.25 x 10-4 min-1 for hydrochlorothiazide. The decrease suggests an interaction between the drugs and hemoglobin, for bezafibrate this interaction seems to be stronger than hydrochlorothiazide. The in silico analysis showed that the drugs bind to the protein portion of the hemoglobin. The binding affinity constant obtained by molecular docking from bezafibrate and bovine hemoglobin (-8.3 Kcal/mol) sustain the experimental value of k and the greater number of interactions observed in relation to hydrochlorothiazide (-6.6 kcal/mol). The same pattern was observed for interaction of bezafibrate (-7.6 kcal/mol) and hydrochlorothiazide (-6.7 kcal/mol) with human hemoglobin. Conclusion: The spectrophotometry and bioinformatic methods suggested the possibility of hemoglobin interaction with hydrophobic drugs such as bezafibrate and hydrochlorothiazide; this interaction could affect the normal function of hemoglobin and change the pharmacodynamics and pharmacokinetics of drugs impairing their therapeutic efficiency. (AU)

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SUMMARY OBJECTIVE: Free intra-abdominal fluid describes an accumulation of free fluid in the peritoneal cavity. It has different etiologies, but it frequently constitutes a meaningful clinical sign. In this study, the authors interrogate whether abdominal ultrasound augments the medical students' ability to identify free intra-abdominal fluid. METHODS: Thirty-one medical students without any previous formal ultrasound training were subjected to cognitive assessment before and after four and a half-hour of theoretical lecture and hands-on course about the diagnosis of free intra-abdominal fluid by physical examination and abdominal ultrasound. The hands-on sessions were done in healthy volunteers with a simulated peritoneal catheter and in patients treated with peritoneal dialysis with different amounts of dialysate in their cavity. RESULTS: The cognitive assessment before and after the course increased from 6.7±2.3 to 11.6±1.1 points (p<0.0001). The sensitivity, specificity, and accuracy in the diagnosis of free intra-abdominal fluid were higher when students used abdominal ultrasound. The students agree with the inclusion of abdominal ultrasound in the diagnose of free intra-abdominal fluid in the undergraduate curriculum. CONCLUSIONS: This study demonstrates that incorporating abdominal ultrasound is feasible and improves medical students' short-time competency in performing and interpreting the findings diagnostic of free intra-abdominal fluid.

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Abstract SARS-CoV-2 has high human-human transmission rate. The aerosols and saliva droplets are the main contamination source. Thus, it is crucial to point out that dental practitioners become a high-risk group of contagion by SARS-CoV-2. Based on this, protocols have been recommended to avoid cross-contamination during dental care; however, appropriate evidence has not yet been established. Objective Our study sought to make a screening, by in silico analysis, of the potential of mouth rinses used in dental practices to prevent the dental workers' contamination by SARS-CoV-2. Methodology Multiple sequence comparisons and construction of the phylogenetic tree were conducted using the FASTA code. Therefore, molecular docking investigation between SARS-CoV-2 proteins (Main Protease, Spike Glycoprotein, Non-structure Protein, and Papain-like Protease) and molecules used in dental practices (chlorhexidine digluconate, hydrogen peroxide, cetylpyridinium chloride, povidone-iodine, gallic acid, β-cyclodextrin, catechin, and quercetin) was performed using AutoDock Vina. Moreover, 2D interactions of the complex protein-ligand structure were analyzed by Ligplot+. Results The obtained results showed a remarkable affinity between SARS-CoV-2 proteins and all tested compounds. The chlorhexidine digluconate, catechin, and quercetin presented a higher affinity with SARS-CoV-2. Conclusions The overall results allowed us to suggest that chlorhexidine is the most suitable active compound in reducing the SARS-CoV-2 salivary load due to its better binding energy. However, in vivo studies should be conducted to confirm their clinical use.

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In the context of the ongoing coronavirus disease 2019 (COVID-19) pandemic, numerous attempts have been made to discover new potential antiviral molecules against its causative agent, SARS-CoV-2, many of which focus on its main protease (Mpro). We hereby used two approaches based on molecular docking simulation to explore the interaction of four libraries of semisynthetic nitrogenous heterocyclic compounds with Mpro. Libraries L1 and L2 contain 52 synthetic derivatives of the natural compound 2-propylquinoline, whereas libraries L3 and L4 contain 65 compounds synthesized using the natural compound physostigmine as a precursor. Validation through redocking suggested that the rigid receptor and flexible receptor approaches used for docking were suitable to model the interaction of this type of compounds with the target protein, although the flexible approach seemed to provide a more realistic representation of interactions within the active site. Using empirical energy score thresholds, we selected 58 compounds from the four libraries with the most favorable energy estimates. Globally, favorable estimates were obtained for molecules with two or more substituents, putatively accommodating in three or more subsites within the Mpro active site. Our results pave the way for further experimental evaluation of the selected compounds as potential antiviral agents against SARS-CoV-2.

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