Network pharmacology and molecular docking reveal the mechanism of resveratrol in oral squamous cell carcinoma treatment / 口腔疾病防治

Objective@#To explore the molecular mechanism of resveratrol (RES) in the treatment of oral squamous cell carcinoma (OSCC) through the use of biological information methods such as network pharmacology and molecular docking and to provide a theoretical reference for the clinical application of RES in the treatment of OSCC.@*Methods@#The Swiss Target Prediction(http://www.swisstargetprediction.ch), SEA (http://sea.bkslab.org)database, and Pharm mapper database(http://lilab-ecust.cn) were used to retrieve RES-related targets, and the DISGENET (www.disgenet.org), OMIM (https://omim.org) and GeneCards (https://www.genecards.org) databases were used to screen OSCC disease targets. The intersection of drugs and disease targets was determined, and Cytoscape 3.7.2 software was used to construct a "drug-diseasetarget pathway" network. The Search Tool for the Retrieval of Interacting Genes/Proteins (STRING) database was used to construct a target protein interaction network, and the DAVID database was used for enrichment analysis of key proteins. Finally, molecular docking validation of key proteins was performed using AutoDock and PyMOL. The enrichment analysis and molecular docking results were integrated to predict the possible molecular mechanisms of RES treatment in OSCC; western blot was used to determine the effect of resveratrol at different concentrations (50, 100) μmol/L on the expression of Src tyrosine kinase (SRC), epidermal growth factor receptor (EGFR), estrogen receptor gene 1 (ESR1), and phosphatidylinositol 3 kinase/protein kinase B (PI3K/AKT) signaling pathway proteins in OSCC HSC-3 cells.@*Results@#A total of 243 targets of RES drugs and 6 094 targets of OSCC were identified. A total of 116 potential common targets were obtained by intersecting drugs with disease targets. These potential targets mainly participate in biological processes such as in vivo protein self-phosphorylation, peptide tyrosine phosphorylation, transmembrane receptor protein tyrosine kinase signaling pathway, and positive regulation of RNA polymerase Ⅱ promoter transcription, and they interfere with the PI3K/AKT signaling pathway to exert anti-OSCC effects. The docking results of resveratrol with OSCC molecules indicated that key targets, such as EGFR, ESR1, and SRC, have good binding activity. The results of cell-based experiments showed that resveratrol inhibited the protein expression of SRC, EGFR, ESR1, p-PI3K, and p-AKT in HSC-3 cells in a dose-dependent manner.@*Conclusion@#RES can inhibit the expression of its targets EGFR, ESR1, SRC, p-PI3K, and p-AKT in OSCC cells.

Caries prevention mechanism of the Xinjiang Mori Cortex based on network pharmacology and its effect on the main cariogenic bacteria / 口腔疾病防治

Objective@#To investigate the potential caries prevention mechanism of the Xinjiang Mori cortex and to analyze its effect on the main cariogenic bacteria.@*Methods@#The active components of the Xinjiang Mori cortex and the main targets were predicted and screened using the TCMSP database. The GeneCards, DisGENET and TTD databases were used to obtain caries-related targets. The common targets were derived, and core genes were screened. The enrichment analysis was performed using the DAVID data platform. Molecular docking was performed using AutoDock software. In in vitro antibacterial experiments, first, the 50% minimum inhibitory concentration (MIC50) and the minimum bactericidal concentration (MBC) of the Xinjiang Mori Cortex extract against Streptococcus mutans, Streptococcus sanguis and Actinomyces viscosus were determined and the growth curves were measured. The effects of the Xinjiang Mori Cortex extract on acid production, polysaccharide production and adhesion ability of Streptococcus mutans, Streptococcus sanguis and Actinomyces viscosus in the planktonic state were determined. The 50% minimum biofilm inhibition concentration (MBIC50) and 50% minimum biofilm reduction concentration (MBRC50) were determined by crystal violet staining, and biofilm morphology was visualized using scanning electron microscopy (SEM).@*Results@#The main active components of the Xinjiang Mori cortex included quercetin, kaempferol, and β-sitosterol. Tumor necrosis factor (TNF), interleukin-6 (IL-6), and interleukin-1beta (IL-1β) could be the most important targets of the Xinjiang Mori cortex for the prevention of dental caries. The enrichment analysis results showed that Mori cortex extract may have effects on the AGE-RAGE signaling pathway, IL-17 signaling pathway, and TNF signaling pathway. The antibacterial experiment results showed that the MIC50 values of Xinjiang Mori Cortex extract against Streptococcus mutans, Streptococcus sanguis and Actinomyces viscosus were 0.5, 0.5 and 0.25 mg/mL, respectively, and the MBCs were 4.0, 2.0 and 1.0 mg/mL, respectively. The inhibitory effect of Xinjiang Mori Cortex extract on the acid production, polysaccharide production and adhesion ability of three major cariogenic bacteria in the planktonic state was stronger than that of the control group, and the differences were statistically significant (P<0.05). The MBIC50 was 1.0, 1.0, and 0.5 mg/mL, and the MBRC50 was 4.0, 4.0, and 2.0 mg/mL. SEM observation showed that the amount of biofilm formation decreased with the drug concentration compared with the control group.@*Conclusion@#Xinjiang Mori cortex extract can prevent caries through quercetin, kaempferol, and β-sitosterol active ingredients, TNF、IL-6、IL-1β key targets and multiple pathways and inhibit the growth, acid production, polysaccharide production, and adhesion ability of three major cariogenic bacteria in the planktonic state and has some inhibitory effect on corticogenic biofilm formation.

Mechanism of Qizhenziyin mixture in the treatment of hypogonadism based on network pharmacology analysis and molecular docking / 药学实践杂志

Objective To investigate the mechanism of Qizhenziyin mixture in the treatment of hypogonadism by using the network pharmacology approach. Methods The active components of Qizhenziyin mixture were obtained by searching TCMSP ，TCMID and HIT databases.The related targets of candidate compounds were obtained by searching STITCH databases. The potential targets of Qizhenziyin mixture in the treatment of hypogonadism were obtained by mapping the disease genes of hypogonadism with Genecards and DisGeNet databases. The protein interaction platform database (STRING) was used to construct the interaction relationship between action targets. The target protein interaction （PPI） network was constructed by introducing Cytoscape software. The mechanism of Qizhenziyin mixture in the treatment of hypogonadism was explained through the enrichment analysis of GO, KEGG and molecular docking technology. Results A total of 148 drug-disease chemical compounds, 96 drug-disease intersection targets, 1085 disease targets were obtained；the components for treating diseases are: quercetin，kaempferol, luteolin, etc; enrichment analysis of GO revealed 1792 biological processes （BP）, 31 cellular components (CC) and 79 molecular functions (MF)；the results of KEGG pathway enrichment analysis indicated such as FOXO signaling pathway, prostate cancer, AGE-RAGE signaling pathway in diabetic complications, HIF-1 signaling pathway, etc.The results of molecular docking showed that kaempferol and LEP had the best and stable binding energy. Conclusion The active components of Qizhenziyin mixture may play a role of the treatment of hypogonadism by improving insulin resistance and the expression of testosterone synthetase of Leydig cells.

Estudio computacional de las interacciones moleculares entre el timol y los residuos HIS41 y CYS145 presentes en el sitio activo de la proteasa 3CLpro

La proteína proteasa 3CLpro del SARS-CoV-2 es una enzima crucial para la replicación viral, razón por la cual se convierte en un blanco terapéutico de gran importancia. El timol (2-isopropil-5-me-tilfenol), un compuesto natural que se encuentra en el tomillo (Thymus vulgaris), exhibe potencial actividad antiviral contra la proteasa 3CLpro. En este estudio, usando acoplamiento molecular con AutoDockTools-1.5.6, se evaluaron las energías de interacción molecular entre el timol y los residuos de aminoácidos en el sitio activo de la proteína proteasa 3CLpro. Luego, con la teoría cuántica de Átomos en Moléculas (QTAIM) y la de Interacciones no covalentes (NCI) se analizaron los tipos de interacciones moleculares entre los residuos de aminoácidos identificados y el timol. Los cálculos cuánticos se llevaron con el software Orca-5.0.3, utilizando el método DFT con el funcional M06-2X y el conjunto base aug-cc-pVDZ en fase gaseosa. Los resultados de acoplamiento molecular indican que el timol se une a la proteína 3CL con una energía de interacción igual a -3,784 kcal/mol. El análisis QTAIM indica la presencia de puntos críticos de enlace entre el timol y los residuos HIS41 y CYS145. Además, se observa la formación de un enlace de hidrógeno entre el grupo OH del timol y el residuo CYS145, lo cual es corroborado por los análisis ELF (Electron Localization Function) y NCI (Non Covalent Interactions). Finalmente, el método NCI confirma la presencia de interacciones de Van der Waals con el residuo HIS41. Los resultados sugieren que el mecanismo de inhibición de la actividad de la proteína 3CLpro es controlado por interacciones moleculares tipo puente de hidrógeno e interacciones débiles.

The protease 3CLpro of the SARS-CoV-2 is a crucial enzyme for viral replication, becoming a highly important therapeutic target. Thymol (2-isopropyl-5-methyl-phenol), a naturally occurring compound found in thyme, exhibits potential antiviral activity against the 3CLpro protease. In this study, using molecular docking with AutoDockTools-1.5.6, the molecular interaction energies between thymol and amino acid residues in the active site of the protein protease 3CLpro were evaluated. Then, with the Atoms in Molecules (QTAIM) and Non-covalent Interactions (NCI) theories, the types of molecular interactions between identified amino acid residues and thymol were analyzed. Quantum calculations were carried out with the Orca-5.0.3 software using the DFT method with the M06-2X functional and the aug-cc-pVDZ basis set in the gas phase. The molecular docking results indicate that thymol is linked to the 3CL protein with an interaction energy equal to -3.784 kcal/mol. QTAIM analysis indicates the presence of critical binding sites between thymol and residues HIS41 and CYS145. In addition, the formation of a hydrogen bond between the OH group of thymol and the CYS145 residue is observed, which is corroborated by the ELF and NCI analyses. Finally, the NCI method confirms the presence of Van der Waals interactions with the HIS41 residue. The results suggest that the mechanism of inhibition of the activity of the 3CLpro protein is controlled by molecular interactions such as hydrogen bonding and weak interactions.

A protease 3CLpro do SARS-CoV-2 é uma enzima crucial para a replicação viral, tornando-se um alvo terapêutico de grande importÅncia. O timol (2-isopropil-5-me-tilfenol), um composto natural encontrado no tomilho, exibe potencial atividade antiviral contra a protease 3CLpro. Neste estudo, utilizando o docking molecular com o AutoDockTools-1.5.6, foram avaliadas as energias de interação molecular entre o timol e os residuos de aminoácidos no sítio ativo da proteína protease 3CLpro. Em seguida, com a teoria quantica de atomos em moleculas (QTAIM) e da interacões no-covalentes (NCI), foram analisados os tipos de interações moleculares entre os resíduos de aminoácidos identificados e o timol. Os cálculos quÅnticos foram realizados com o software Orca-5.0.3 usando o método DFT com o funcional M06-2X e a base aug-cc-pVDZ definida na fase gasosa. Os resultados do docking molecular indicam que o ti-mol está ligado à proteína 3CL com uma energia de interação igual a -3.784 kcal/ mol. A análise QTAIM indica a presença de sítios de ligação críticos entre o timol e os resíduos HIS41 e CYS145. Além disso, observa-se a formação de uma ponte de hidrogênio entre o grupo OH do timol e o resíduo CYS145, o que é corroborado pelas análises ELF e NCI. Finalmente, o método NCI confirma a presença das interações de Van der Waals com o resíduo HIS41. Os resultados sugerem que o mecanismo de inibição da atividade da proteína 3CLpro é controlado por interações moleculares como ligações de hidrogênio e interações fracas.

In Silico Investigation of Phytochemicals against Typhoid: A Review

Typhoid fever is a serious bacterial infection caused by Salmonella enterica serovar Typhi, and is a major public health issue in developing countries. The emergence of multidrug-resistant strains of S. Typhi has raised concerns about the effectiveness of existing treatments and has prompted the exploration of alternative therapies. Phytochemicals, which are bioactive compounds found in plants, have been investigated as potential sources of new antibacterial agents against typhoid. In this review, we conducted an in silico investigation of phytochemicals and their potential activity against S. Typhi. Our review examined current literature on phytochemicals and their antibacterial activity against S. Typhi. Using molecular docking studies, we investigated the potential binding of these phytochemicals to the target protein, DNA gyrase, which is an important drug target in S. Typhi. Our results indicate that several phytochemicals exhibit promising binding affinities to DNA gyrase, suggesting their potential as effective antibacterial agents against typhoid. Overall, our findings highlight the potential of phytochemicals as a source of new therapeutics for typhoid fever, particularly in regions where multidrug-resistant strains of S. Typhi are prevalent. The in silico approach used in this review provides a valuable tool for screening and identifying potential candidates for further investigation. Further studies are needed to validate the results of in silico studies and to explore the potential of phytochemicals as antibacterial agents against typhoid.

Binding interaction of laccases from Bacillus Subtilis after industrial dyes exposure: Molecular docking and molecular dynamics simulation studies

Dyes are becoming more widely used around the world wide, but there is no effective bioremediation approach for removing them completely from the environment. Several dyes are mentioned to be degraded through bacteria; however, it's still unknown how the particular enzymes act throughout the dye degradation. The behavior and function of these enzymes in the biodegradation of azo dyes (Textile dyes) had been investigated experimentally by the numbers of the researchers, however, the molecular mechanisms remain unclear. Therefore, the interaction mechanisms of textile dye (methyl orange) with laccase from B. subtilis were explored through molecular docking and molecular dynamics simulations, the three selected dyes (methyl orange, malachite green, and acid blue 62) that interact positively with laccase on the basis of their maximum binding energy, molecular docking results indicate that one of the three dyes is more stable as a target for degradation through Bacillus subtilis laccase. Therefore, subsequent research focused solely on one substrate: methyl orange. Molecular Dynamics simulation study was applied after the molecular docking to determine the interaction between laccases and methyl orange dyes. The trajectory was proved with root mean square deviation and root mean square fluctuation analysis. According to the molecular dynamics simulation results, laccase-methyl orange complexes remain stable during the catalytic reaction. So, this study demonstrates how laccase is involved in methyl orange bioremediation.

Repositioning of FDA-approved drugs for the treatment of methicillin-resistant Staphylococcus aureus infection: Structure-based virtual screening and in vitro assay

Background: Computer-aided repositioning of approved drugs is an increasingly popular strategy for the discovery of effective therapies. The potency of the newly repositioned drugs can be optimized using them as a component of an effective drug combination, thereby achieving the desired therapeutic effect at a lower and more tolerable drug concentration. Aim and Objectives: The aim of the study was to perform structure-based virtual screening and repurposing of FDA-approved drugs for the treatment of methicillin resistance by Staphylococcus aureus (SA) and perform an in vitro validation of the prediction. Materials and Methods: Following ethical clearance at the Department of Pharmacology and Therapeutics, College of Health Sciences, Usmanu Danfodiyo University Sokoto, molecular docking was performed against 5 validated protein targets involved in the development of methicillin resistance by SA and an in vitro validation of the prediction was done using 3 of the top-ranking drug candidates against methicillin-resistant vancomycin-susceptible strain of the pathogen (ATCC 43300). Results: Desmopressin and docetaxel, two of the 20 top-ranking repurposed drugs discovered through virtual screening, enhanced the inhibitory effect of oxacillin against the ATCC 43300 SA strain in a ratio-dependent manner, although each of the two drugs singly was only weakly effective against the bacterial strain. The standard drug, vancomycin (also among the top-scoring candidates), alone, was effective against ATCC 43300 strain and in combination with oxacillin, the two drugs produced a ratio-dependent synergistic effect against the bacterial strain. Conclusion: These findings suggest that oxacillin-based combinations with desmopressin, docetaxel, and the standard drug vancomycin, three of the 20 top-ranking drugs, at optimum ratios, may be beneficial in reversing the resistance of the ATCC 43300 SA strain to oxacillin, thus supporting the prediction of the molecular docking results.

Design, synthesis, characterization and in vitro evaluation of some novel thiol-substituted 1,3,4-oxadiazoles as GlmS inhibitors

The development of novel medications with previously unidentified action mechanisms is required due to the increasing in antibiotic resistance amongst dangerous microbes. The major goal of the research was to develop in silico and in vitro antibacterial methods for designing an active thiol substituted oxadiazole inhibitor targeting gram-negative and gram-positive bacteria's GlmS receptor. 1,3,4-Oxadiazole was proposed as a scaffold, and the possibility of its synthesis was examined. The least amount of free energy in the ligand configurations was chosen. Analyses of the novel molecules' characteristics were done using ADMET studies. There were four distinct reactions used in the synthesis processes. As the first reagent, substituted carboxylic acids were utilized. Synthesized compounds were characterized by spectral studies and minimum inhibitory concentration was evaluated by in vitro antibacterial examinations of synthesized compounds. Ciprofloxacin served as the study's reference drug. Based on in vitro studies and in silico molecular docking, ROS1-4 established strong binding energy, while ROS3 revealed significant antibacterial activity. These findings support the hypothesis that the proposed scaffold significantly inhibits the GlmS receptor protein.

Network pharmacology and molecular docking study of the active ingredients in Saptasaram kashayam for the treatment of Polycystic ovary syndrome-Supplemenntary data

Polycystic Ovary Syndrome (PCOS) is one of the most prevalent endocrine disorder in women of reproductive age characterized by hyperandrogenism (HA). Current treatment options for PCOS are either with adverse effects or ineffective. Saptasaram kashayam (SK), an ayurvedic formulation is often been a safe traditional alternative medicine to improve the PCOS symptoms as well as its pathological development. However, its principle phytoconstituents or underlying mechanisms have not been investigated. In order to achieve this, the current study systematically utilized computational tools, network pharmacology approaches and molecular docking studies. All identified phytoconstituents of SK were screened by QikProp ADME prediction and 47 were selected based on oral bioavailability and drug likeliness scores. Their 3D structures were submitted to three online target fishing webservers PharmMapper, ChemMapper and Swiss Target Prediction which produced 1084 biological targets for SK comprehensively. 350 known PCOS therapeutic targets were retreived as common targets from three different interrogative disease centric bioinformatic platforms DisGeNET, OMIM and GeneCards. Intersection of 1084 biological targets of SK and 350 PCOS therapeutic targets produced, 88 potential therapeutic targets of SK against PCOS. STRING PPI and Compound-Target-Pathway networks were constructed and analysed using Cytoscape software. GO & KEGG pathway enrichment analysis was performed using DAVID database. 15 PCOS therapeutic target proteins were short listed from network analysis report- PIK3CA, PDPK1, AKT1, PIK3R1, STAT3, MAPK1, MAPK3, EGFR, AR, ESR1, ESR2, SHGB, NOS3, F2 & CREBBP. Targets that were likely to be inhibited/modulated by SK for treatment of PCOS were docked against the screened phytoconstituents and their respective standard inhibitors using GLIDE-SP of Schrodinger suite, Maestro version- 13.0. Results showed that Quercetin, Catechin, Boeravinone J, Genistein, Protocatechuic Acid, Gentisic Acid, Xanthoarnol, Luteolin, Boeravinone F, Tyrosine, Kaempferol, Dalbergioidin, etc exhibited good binding affinities when compared to standard drugs and might be responsible for synergistic/additive protective effect of SK against PCOS. Meanwhile PI3K-Akt signaling pathway, Prolactin signaling pathway, AGE-RAG diabetic complications, HIF-1 signaling pathway and Estrogen signaling pathway were found to be involving the hub genes of interest and in this way, they might be intervened during treatment of PCOS by SK. Present study succeeded in identifying the drug like principle phytoconstituents, probable PCOS therapeutic targets and the underlying molecular mechanism of SK apart from providing reliable evidence for therapeutic potential of SK against PCOS. However further validation by in vitro and in vivo investigations is necessary.

Network pharmacology and molecular docking study of the active ingredients in Saptasaram kashayam for the treatment of Polycystic ovary syndrome

Polycystic Ovary Syndrome (PCOS) is one of the most prevalent endocrine disorder in women of reproductive age characterized by hyperandrogenism (HA). Current treatment options for PCOS are either with adverse effects or ineffective. Saptasaram kashayam (SK), an ayurvedic formulation is often been a safe traditional alternative medicine to improve the PCOS symptoms as well as its pathological development. However, its principle phytoconstituents or underlying mechanisms have not been investigated. In order to achieve this, the current study systematically utilized computational tools, network pharmacology approaches and molecular docking studies. All identified phytoconstituents of SK were screened by QikProp ADME prediction and 47 were selected based on oral bioavailability and drug likeliness scores. Their 3D structures were submitted to three online target fishing webservers PharmMapper, ChemMapper and Swiss Target Prediction which produced 1084 biological targets for SK comprehensively. 350 known PCOS therapeutic targets were retreived as common targets from three different interrogative disease centric bioinformatic platforms DisGeNET, OMIM and GeneCards. Intersection of 1084 biological targets of SK and 350 PCOS therapeutic targets produced, 88 potential therapeutic targets of SK against PCOS. STRING PPI and Compound-Target-Pathway networks were constructed and analysed using Cytoscape software. GO & KEGG pathway enrichment analysis was performed using DAVID database. 15 PCOS therapeutic target proteins were short listed from network analysis report- PIK3CA, PDPK1, AKT1, PIK3R1, STAT3, MAPK1, MAPK3, EGFR, AR, ESR1, ESR2, SHGB, NOS3, F2 & CREBBP. Targets that were likely to be inhibited/modulated by SK for treatment of PCOS were docked against the screened phytoconstituents and their respective standard inhibitors using GLIDE-SP of Schrodinger suite, Maestro version- 13.0. Results showed that Quercetin, Catechin, Boeravinone J, Genistein, Protocatechuic Acid, Gentisic Acid, Xanthoarnol, Luteolin, Boeravinone F, Tyrosine, Kaempferol, Dalbergioidin, etc exhibited good binding affinities when compared to standard drugs and might be responsible for synergistic/additive protective effect of SK against PCOS. Meanwhile PI3K-Akt signaling pathway, Prolactin signaling pathway, AGE-RAG diabetic complications, HIF-1 signaling pathway and Estrogen signaling pathway were found to be involving the hub genes of interest and in this way, they might be intervened during treatment of PCOS by SK. Present study succeeded in identifying the drug like principle phytoconstituents, probable PCOS therapeutic targets and the underlying molecular mechanism of SK apart from providing reliable evidence for therapeutic potential of SK against PCOS. However further validation by in vitro and in vivo investigations is necessary.

A comparative computational approach on the most deleterious missense variant in Connexin 43 protein and its potent inhibitor analysis

Intercellular communication between the cell plays an essential role in cell growth and cell formation, including migration, metabolism, and cell differentiation. Cell function and tissue homeostasis are maintained through gap junction intercellular communication (GJIC), thus regulating connexin hemichannels. Mis regulation of such connexin, especially connexin (Cx) 43, affects a comprehensive process, including cell differentiation, inflammation, and cell death. Mis regulation may be due to the missense variant in Cx43. Thus, we screened the complete set of mutations from public mutational databases and obtained 219 missense variants, which were then classified based on their pathogenicity, functional impact, stability, conservation, and physiochemical properties. Variant L214P was scrutinized to have the most deleterious, which was then modelled using the I-TASSER server and performed molecular docking analysis to screen potent inhibitors. The compound Kanamycin, Ginsenoside, and Astragaloside IV have better interactions with Cx43 mutant with a maximum of 5 hydrogen bonds. Ginsenoside is a compound that follows a Lipinski rule of five. Thus, the result obtained from this study suggests that Ginsenoside would be a better potent inhibitor for native and mutant Cx43.

Investigation of dual anti-HIV/HSV activity of oxoquinoline-acylhydrazone derivatives by molecular docking

Abstract Someoxoquinoline-acylhydrazonederivativesshowedactivityagainst HumanImmunodeficiency Virus type 1 (HIV-1). These compounds must also be active against Herpes Simplex Virus type 1 (HSV-1) by an inhibition mechanism where they interact with the HSV-DNA-polymerase/DNA-duplex complex. There are several treatment options for HSV-1 but there is no cure for the disease, which may represent a life risk for individuals co-infected with HIV. In this work molecular docking studies were carried out in an attempt to understand the dual activity of these oxoquinoline-acyhydrazone derivatives. The compounds were docked in two possible situations: (i) in the polymerase domain of HIV-1 Reverse Transcriptase (RT) enzyme in order to verify whether the inhibition occurs similarly to the proposed mechanism for HSV-1 inhibition, where the ligand would form a complex with the enzyme and the DNA; (ii) in the allosteric site of RT in order to verify if the inhibition occur in a similar way to non-nucleoside RT inhibitors (NNRTI). The studied compounds showed higher binding affinity to the allosteric site of RT and the results indicate that the inhibition should occur in a mechanism similar to that of NNRTI, which produces an allosteric inhibition that induces structural changes in the enzymatic active site.

Mechanism of Key Ingredient of Astragalus membranaceus on Lung Adenocarcinoma via PI3K/AKT Signaling Clarified by Utilizing Network Pharmacology Approach and Experimental Validation / 中国结合医学杂志

OBJECTIVE@#To investigate the mechanism of the effect of Astragalus membranaceus (A. membranaceus) on lung adenocarcinoma at the molecular level to elucidate the specific targets according to the network pharmacology approach.@*METHODS@#The active components of A. membranaceus and their potential targets were collected from the Traditional Chinese Medicine Systems Pharmacology Database. Lung adenocarcinoma-associated genes were acquired based on GeneCards, Online Mendelian Inheritance in Man (OMIM), PharmGKB, and Therapeutic Targets databases. The PI3K/AKT signaling pathway-related genes were obtained using Reactome portal. Networks of "ingredient-target" and "ingredient-target-pathway-disease" were constructed using the Cytoscape3.6.0 software. The relationships among targets were analyzed according protein-protein interaction (PPI) network. Finally, molecular docking was applied to construct the binding conformation between active ingredients and core targets. Cell counting kit 8 (CCK8) and Western blot assays were performed to determine the mechanism of the key ingredient of A. membranaceus.@*RESULTS@#A total of 20 active components and their 329 targets, and 7,501 lung adenocarcinoma-related genes and 130 PI3K/AKT signaling pathway-related genes were obtained. According to Venn diagram and PPI network analysis, 2 mainly active ingredients, including kaempferol and quercetin, and 6 core targets, including TP53, MAPK1, EGF, AKT1, ERBB2, and EGFR, were identified. The two important active ingredients of A. membranaceus, kaempferol and quercetin, exert the therapeutic effect in lung adenocarcinoma partly by acting on the 6 core targets (TP53, MAPK1, EGF, AKT1, ERBB2, and EGFR) of PI3K/AKT signaling pathway. Expressions of potential targets in lung adenocarcinoma and normal samples were analyzed by using UALCAN portal and found that ERBB2 was overexpressed in lung adenocarcinoma tissues and upregulation of it correlated with clinicopathological characteristics. Finally, quercetin repressed viabilities of lung adenocarcinoma cells by targeting ERBB2 on PI3K/AKT signaling confirmed by CCK8 and Western blot.@*CONCLUSION@#Our finding unraveled that an active ingredient of A. membranaceus, quercetin, significantly inhibited the lung adenocarcinoma cells proliferation by repressing ERBB2 level and inactivating the PI3K/AKT signaling pathway.

Significance of high expression of C5orf46 in gastric cancer and potential intervention of tarditional Chinese medicine based on bioinformatics, molecular docking, and cell experiments / 中国中药杂志

This study aims to investigate the expression, prognosis, and clinical significance of C5orf46 in gastric cancer and to study the interaction between the active components of C5orf46 and tarditional Chinese medicine. The ggplot2 package was utilized for differential expression analysis of C5orf46 in gastric cancer tissues and normal tissues. The survival package was used for survival analysis, univariate regression analysis, and multivariate regression analysis. Nomogram analysis was used to assess the connection between C5orf46 expression in gastric cancer and overall survival. The abundance of tumor-infiltrating lymphocytes was calculated by GSVA package. Coremine database, Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP) database, and PubChem database were used to search the potential components corresponding to C5orf46 gene and tarditional Chinese medicine. Molecular docking was performed to explore the binding affinity of potential components to C5orf46. Cell experiments were performed to explore the expression of C5orf46 gene in cells of the blank group, model group, and drug administration groups. As compared with normal tissues, C5orf46 expression was higher in gastric cancer tissues, which had more significant predictive effects in the early stages(T2, N0, and M0). The more advanced the tumor node metastasis(TNM) stage, the higher the C5orf46 expression and the lower the probability of survival of patients with gastric cancer. The expression of C5orf46 positively correlated with the helper T cells1 in gastric cancer and the macrophage infiltration level in gastric cancer, and negatively correlated with B cells, central memory T cells, helper T cells 17, and follicular helper T cells. Seven potential components of C5orf46 were obtained, and three active components were obtained after the screening, which matched five tarditional Chinese medicines, namely, Sojae Semen Nigrum, Jujubae Fructus, Trichosanthis Fructus, Silybi Fructus, and Bambusae Concretio Silicea. Molecular docking revealed that sialic acid and adeno-sine monophosphate(AMP) had a good binding ability to C5orf46. The results of real-time quantitative polymerase chain reaction(RT-qPCR) and Western blot showed that, as compared with the model group, the mRNA and protein expression levels of C5orf46 were significantly lower in the drug administration groups. The lowest expression level was found at the concentration of 40 μmol·L~(-1). The results of this study provide ideas for the clinical development of traditional Chinese medicine compounds for the treatment of gastric cancer as well as other cancers.

Study on the mechanism of curcumin in the treatment of periodontitis through network pharmacology and mole-cular docking / 华西口腔医学杂志

OBJECTIVES@#This study aims to explore the therapeutic targets of curcumin in periodontitis through network pharmacology and molecular docking technology.@*METHODS@#Targets of curcumin and periodontitis were predicted by different databases, and the protein-protein interaction (PPI) network constructed by String revealed the interaction between curcumin and periodontitis. The key target genes were screened for Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses. Molecular docking was performed to analyze the binding potential of curcumin to periodontitis.@*RESULTS@#A total of 672 periodontitis-related disease targets and 107 curcumin-acting targets were obtained from the databases, and 20 key targets were screened. The GO and KEGG analyses of the 20 targets showed that curcumin might play a therapeutic role through the hypoxia-inducible factor (HIF)-1 and parathyroid hormone (PTH) signaling pathways. Molecular docking analysis showed that curcumin had good binding potential with multiple targets.@*CONCLUSIONS@#The potential key targets and molecular mechanisms of curcumin in treating periodontitis provide a theoretical basis for new drug development and clinical applications.

A threefold approach including quantum chemical, molecular docking and molecular dynamic studies to explore the natural compounds from Centaurea jacea as the potential inhibitors for COVID-19 / Uma abordagem tríplice incluindo química quântica, docking molecular e estudos dinâmicos moleculares para explorar os compostos naturais de Centaurea jacea como inibidores potenciais para Covid-19

Abstract In the current report, we studied the possible inhibitors of COVID-19 from bioactive constituents of Centaurea jacea using a threefold approach consisting of quantum chemical, molecular docking and molecular dynamic techniques. Centaurea jacea is a perennial herb often used in folk medicines of dermatological complaints and fever. Moreover, anticancer, antioxidant, antibacterial and antiviral properties of its bioactive compounds are also reported. The Mpro (Main proteases) was docked with different compounds of Centaurea jacea through molecular docking. All the studied compounds including apigenin, axillarin, Centaureidin, Cirsiliol, Eupatorin and Isokaempferide, show suitable binding affinities to the binding site of SARS-CoV-2 main protease with their binding energies -6.7 kcal/mol, -7.4 kcal/mol, -7.0 kcal/mol, -5.8 kcal/mol, -6.2 kcal/mol and -6.8 kcal/mol, respectively. Among all studied compounds, axillarin was found to have maximum inhibitor efficiency followed by Centaureidin, Isokaempferide, Apigenin, Eupatorin and Cirsiliol. Our results suggested that axillarin binds with the most crucial catalytic residues CYS145 and HIS41 of the Mpro, moreover axillarin shows 5 hydrogen bond interactions and 5 hydrophobic interactions with various residues of Mpro. Furthermore, the molecular dynamic calculations over 60 ns (6×106 femtosecond) time scale also shown significant insights into the binding effects of axillarin with Mpro of SARS-CoV-2 by imitating protein like aqueous environment. From molecular dynamic calculations, the RMSD and RMSF computations indicate the stability and dynamics of the best docked complex in aqueous environment. The ADME properties and toxicity prediction analysis of axillarin also recommended it as safe drug candidate. Further, in vivo and in vitro investigations are essential to ensure the anti SARS-CoV-2 activity of all bioactive compounds particularly axillarin to encourage preventive use of Centaurea jacea against COVID-19 infections.

Resumo No presente relatório, estudamos os possíveis inibidores de Covid-19 de constituintes bioativos de Centaurea jacea usando uma abordagem tripla que consiste em técnicas de química quântica, docking molecular e dinâmica molecular. Centaurea jacea é uma erva perene frequentemente usada em remédios populares de doenças dermatológicas e febre. Além disso, as propriedades anticâncer, antioxidante, antibacteriana e antiviral de seus compostos bioativos também são relatadas. A Mpro (proteases principais) foi acoplada a diferentes compostos de Centaurea jacea por meio de docking molecular. Todos os compostos estudados, incluindo apigenina, axilarina, Centaureidina, Cirsiliol, Eupatorina e Isokaempferide, mostram afinidades de ligação adequadas ao sítio de ligação da protease principal SARS-CoV-2 com suas energias de ligação -6,7 kcal / mol, -7,4 kcal / mol, - 7,0 kcal / mol, -5,8 kcal / mol, -6,2 kcal / mol e -6,8 kcal / mol, respectivamente. Dentre todos os compostos estudados, a axilarina apresentou eficiência máxima de inibidor, seguida pela Centaureidina, Isokaempferida, Apigenina, Eupatorina e Cirsiliol. Nossos resultados sugeriram que a axilarina se liga aos resíduos catalíticos mais cruciais CYS145 e HIS41 do Mpro, além disso a axilarina mostra 5 interações de ligações de hidrogênio e 5 interações hidrofóbicas com vários resíduos de Mpro. Além disso, os cálculos de dinâmica molecular em uma escala de tempo de 60 ns (6 × 106 femtossegundos) também mostraram percepções significativas sobre os efeitos de ligação da axilarina com Mpro de SARS-CoV-2 por imitação de proteínas como o ambiente aquoso. A partir de cálculos de dinâmica molecular, os cálculos RMSD e RMSF indicam a estabilidade e dinâmica do melhor complexo ancorado em ambiente aquoso. As propriedades ADME e a análise de previsão de toxicidade da axilarina também a recomendaram como um candidato a medicamento seguro. Além disso, as investigações in vivo e in vitro são essenciais para garantir a atividade anti-SARS-CoV-2 de todos os compostos bioativos, particularmente a axilarina, para encorajar o uso preventivo de Centaurea jacea contra infecções por Covid-19.

Traditional Chinese Medicine Treats Chronic Atrophic Gastritis via Multiple Pathways / 中国实验方剂学杂志

ObjectiveTo mine the compatibility rules of patented traditional Chinese medicine (TCM) compound prescriptions for treating chronic atrophic gastritis (CAG) by systems pharmacology and molecular docking methods, and predict the targets and molecular mechanisms of Chinese medicinals with different efficacy in the treatment of CAG. MethodThe TCM compound prescriptions for treating CAG were extracted from the patent system of the China National Intellectual Property Administration. The active components and targets of the prescriptions were retrieved from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP), Traditional Chinese Medicine Integrative Database (TCMID), and UniProt. The candidate targets and pathways of CAG were obtained from GeneCards, DisGeNet, Online Mendelian Inheritance in Man (OMIM), MalaCards, Kyoto Encyclopedia of Genes and Genomes (KEGG) and Reactome. The gene ontology (GO) functional annotation and KEGG pathway enrichment were realized by R Studio 4.1.2. STRING11.0 was employed to build the protein-protein interaction (PPI) network, and AutoDock Vina 4.2.6 was used for the docking between key targets and components. ResultA total of 228 TCM compound prescriptions for treating CAG were extracted. The medicinals used in these prescriptions mainly had warm or cold nature, bitter or sweet taste, tropism to the spleen, stomach, and liver meridians, and the efficacy of tonifying Qi, regulating Qi movement, clearing heat, and activating and toniying blood. The prescriptions mainly treated CAG via p53, mitogen-activated protein kinase (MAPK), phosphatidylinositol 3-kinase (PI3K)/protein kinase B (Akt), forkhead box protein O (FoxO), vascular endothelial growth factor (VEGF), and hypoxia-inducible factor-1 (HIF-1) signaling pathways. Molecular docking results confirmed that the active components in the prescriptions had docking activities with key receptor proteins. ConclusionThis study preliminarily analyzed the compatibility rules of TCM compound prescriptions in the treatment of CAG. The medicinals with different efficacy treat CAG by regulating cell proliferation, apoptosis, and oxidative stress response, preventing carcinogen production, promoting gastric acid secretion, and improving local microcirculation in a multi-target, multi-pathway, multi-link manner. The findings facilitate the research on the TCM treatment of CAG.

Mechanism of Jindanjiangan Capsule in the treatment of hepatic fibrosis based on network pharmacology and molecular docking / 中国热带医学

@#Abstract: Objective To elucidate the potential mechanism of Jindanjiangan Capsule in the treatment of liver fibrosis by network pharmacology and molecular docking. Methods Active ingredients and targets of Jindanjiangan Capsules were searched by Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP) and HERB databases, and the disease targets were screened by DisGeNET and Therapeutic Target Database (TTD) databases. The targets of the active ingredients of Jindanjiangan Capsule were matched with the disease targets, and the common targets were imported into the String database platform to construct a protein-protein interaction network (PPI) network. CytoNCA tool of Cytoscape 3.9.1 software was used for topological analysis to screen key targets. Traditional Chinese Medicine-Key Active IngredientsKey Target Network was constructed by Cytoscape 3.9.1 Software. KEGG enrichment analysis of key targets was performed through the DAVID platform. The molecular docking of active ingredients and targets was performed to verify the above results using LeDock software. Results By screening, 180 potential active ingredients and 1 340 targets of Jindanjiangan Capsule and 1 060 targets of liver fibrosis, and 273 common targets were obtained. 29 key targets related to liver fibrosis were screened out by PPI network interaction, and verified by KEGG analysis and molecular docking. Jindanjiangan capsule acts on key targets such as EGFR, MMP9, PTGS2, ESR1, PIK3CA, F2, PPARG, and PTPN11 through active components such as isovitexin, quercetin 7-O- β -D-glucoside, (3S, 6S) -3- (benzyl) -6- (4-hydroxybenzyl) piperazine-2, 5-quinone, 6-Osyringoyl-8-O-acetylshanzhiside methyl ester, tanshinone II, nortanshinone, capillaris chromone, and etanone. The specific mechanism may be related to HIF-1 signaling pathway, C-type lectin receptor signaling pathway, Toll-like receptor signaling pathway, tumor necrosis factor signaling pathway, relaxin signaling pathway, FoxO signaling pathway and so on. Conclusion Jindanjiangan capsule can effectively treat hepatic fibrosis through multi-component, multi-target and multi-pathway.

Exploring the mechanism of action of curcumin in the treatment of silicosis based on network pharmacology and molecular docking / 中国职业医学

Objective To explore the mechanism of action of curcumin in the treatment of silicosis by network pharmacology combined with molecular docking technology. Methods The targets prediction network of curcumin in treating silicosis was established based on the collection of targets of curcumin and silicosis in multiple databases, cross-targets were submitted to the STRING database, and their connectivity was analyzed by Cytoscape software. Gene ontology (GO) function analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were performed on the top 20 genes. The molecular docking was performed on the key targets to study the mechanism of action of curcumin in treating silicosis. Results A total of 311 targets related to curcumin, 270 targets related to silicosis, and 74 cross-targets were obtained from the databases. GO function analysis revealed 2 665 related pathways, and KEGG pathway enrichment analysis revealed 188 related pathways. Molecular docking results showed that curcumin had good binding ability with the targets of mitogen-activated protein kinase 3 (MAPK3), interleukin (IL) 6, serine/threonine kinase 1 (AKT1), vascular endothelial growth factor A (VEGFA), signal transducer and activator of transcription 3, albumin, Jun proto-oncogene, tumor necrosis factor (TNF), IL1B, tumor protein p53, C-C motif chemokine ligand 2 and fibronectin 1. Conclusion The therapeutical effects of curcumin on silicosis were implemented through multi-targets and multi-pathways. Curcumin may play a role in the treatment of silicosis by binding to the core targets MAPK3, IL6, AKT1, VEGFA and TNF and regulating the MAPK, IL6, TNF, phosphatidylinositol 3-kinase/protein kinase B and VEGF signaling pathways.

Potential mechanism of Sophora flavescens against breast cancer via network pharmacology and molecular docking / 药学实践杂志

Objective To analyze the main active components and potential molecular mechanism of Sophora flavescens against breast cancer based on network pharmacology and molecular docking. Methods The chemical constituents were collected and screened by TCMSP, ETCM database and literature review. The targets of active ingredients were predicted by Swiss Target Prediction database. Breast cancer-related targets were collected by GeneCards, TTD, Drugbank and OMIM. The anti-breast cancer targets of Sophora flavescens were screened by Venny 2.1.0 software. Cytoscape software was used to construct the network diagram of Sophora flavescens-key active ingredients-targets. STRING database was used to analyze the common targets, and PPI network diagram was constructed. GO function enrichment analysis and KEGG pathway enrichment analysis of key target proteins were performed by DAVID database and Hiplot online platform. Schrodinger software was used to calculate the molecular docking between the active ingredients and targets. Molecular biological methods were used to verify the key targets. Results A total of 36 active components with clear structures were screened from Sophora flavescens. 70 anti-breast cancer targets of Sophora flavescens were screened out. 12 core targets including EGFR, AKT1, ESR1, SRC, CYP19A1, AR and ABCB1 participate in endocrine resistance, EGFR tyrosine kinase inhibitors and estrogen signaling pathways in breast cancer. Moreover, the docking score between the core component and the key target AR is the highest. In vitro experiments showed that the extract of Sophora flavescens can inhibit the proliferation of breast cancer cells, induce cell apoptosis and up-regulate AR protein expression. Conclusion It was revealed that Sophora flavescens plays an anti-breast cancer role by regulating complex biological processes through multiple components acting on multiple targets and signaling pathways. The upregulation of AR protein by Sophora flavescens may become a new therapeutic strategy for the treatment of breast cancer.