Current computer-aided drug design最新文献

{"title":"Antidepressant Properties of a Four-compound Cocktail Identified from Si-Ni-San by HIF-1 Pathway Modulation.","authors":"Na An, Dongxing Zhang, Jile Xin, Xinyi Zhang, Zhijuan Zhang, Ligang Ma, Le Zhao, Huimin Wu, Weisheng Feng, Xiaoke Zheng","doi":"10.2174/0115734099305381240613114436","DOIUrl":"https://doi.org/10.2174/0115734099305381240613114436","url":null,"abstract":"<p><strong>Background: </strong>Si-Ni-San (SNS) is the formula prescription of Traditional Chinese Medicine (TCM) with anti-depression properties, but its underlying mechanisms remain unclear.</p><p><strong>Objective: </strong>This study provides novel approaches for the study of Traditional Chinese Medicine (TCM) and offers new opportunities for exploring the pharmacological properties of SNS.</p><p><strong>Methods: </strong>The ingredients in SNS implicated in the treatment of depression were identified and studied using network pharmacology. SwissTargetPrediction and molecular docking were used to study the interaction of SNS ingredients and their targets. The protective effect of these ingredients and their cocktail in rat pheochromocytoma cells (PC12) exposed to corticosterone (Cor) were evaluated using the CCK-8 assay, Hoechst 33342 staining, 2',7'-dichlorodihydro fluorescein diacetate (H2DCFDA) staining, 2,2-diphenyl-1-picrylhydrazyl (DPPH) radical scavenging assay, and in-cell Western analysis.</p><p><strong>Results: </strong>The network pharmacology study showed that the HIF-1 signaling pathway was the most crucial pathway implicated in the anti-depressive property of SNS. MAPK1 (ERK2), MAPK3 (ERK1), AKT1, VEGFA, STAT3, and EGF were identified as hub target proteins in the HIF-1 signaling pathway. Quercetin, naringenin, licochalcone A, and kaempferol from SNS, which targeted the six proteins mentioned above, were used to create a cocktail. This cocktail exerted protective properties, decreased the oxidative stress in PC12 exposed to Cor, and successfully regulated the expressions of AKT1, p-AKT1, ERK1, ERK2, p-ERK1/2, STAT3, p- STAT3, and VEGFA induced by Cor exposure. The SwissTargetPrediction and molecular docking study showed that the cocktail may regulate the HIF-1 signaling pathway by directly binding with AKT1 and MAPK1.</p><p><strong>Conclusion: </strong>The cocktail from SNS comprised of quercetin, naringenin, licochalcone A, and kaempferol exerts anti-depression potentiality by modulating the HIF-1 signaling pathway via direct interactions with AKT1 and MAPK1.</p>","PeriodicalId":93961,"journal":{"name":"Current computer-aided drug design","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141972471","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Design of New Aromatic Tertiary Amine-based as Butyrylcholinesterase Inhibitors Relying on Molecular Docking, ADME-Tox and Molecular Dynamics.","authors":"Abdelhamid Qara, Mohamed Ouabane, Chakib Sekkate, Samir Chtita, Tahar Lakhlifi, Mohammed Bouachrine","doi":"10.2174/0115734099302980240722074437","DOIUrl":"https://doi.org/10.2174/0115734099302980240722074437","url":null,"abstract":"<p><strong>Introduction: </strong>Butyrylcholinesterase (BChE) plays a pivotal role in the progression of Alzheimer's disease. Empirical research demonstrated a fundamental alteration in the role of BChE concerning the reduction of cholinergic neurotransmission within the brains of individuals at advanced stages of Alzheimer's.</p><p><strong>Method: </strong>This study focuses on developing potent inhibitors for Butyrylcholinesterase (BChE) in the context of Alzheimer's disease (AD) treatment. Building upon previous research, a series of 44 aromatic tertiary amine-based compounds was investigated. Starting with ADME-Tox studies, the pharmacokinetic and pharmacodynamic properties of the compounds were analyzed to select promising candidates for BChE inhibition, which is a crucial factor in AD pathology.</p><p><strong>Results: </strong>Molecular docking analyses identified compound M18 as the most promising candidate, and further compounds (X9 and X10) were proposed based on M18's chemical structure. These compounds displayed superior properties in terms of binding energies and hydrogen bonds in comparison to M18.</p><p><strong>Conclusion: </strong>The Molecular Dynamics (MD) simulations, which are over a 500 ns timeframe, confirmed the conformational stability of compounds X9 and X10, compared to M18. Overall, the stated results suggest that the proposed compounds, including X9 and X10 specifically, have a significant potential as candidates for BChE inhibition. This presents a promising avenue for therapeutic intervention in Alzheimer's disease.</p>","PeriodicalId":93961,"journal":{"name":"Current computer-aided drug design","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141794364","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"miR-584-5p is a New Potential Prognostic Biomarker in Head and Neck Squamous Cell Carcinoma.","authors":"Donghong Yang, Guanbin Huang, Haiwen Li, Jing Huang, Haiqing Luo, Hualin Chen","doi":"10.2174/0115734099305382240704071258","DOIUrl":"https://doi.org/10.2174/0115734099305382240704071258","url":null,"abstract":"<p><strong>Background: </strong>MicroRNA-584-5p (miR-584-5p) plays an important role in certain types of cancer. However, its precise role in head and neck squamous cell carcinoma (HNSC) remains unknown.</p><p><strong>Objective: </strong>Our aim was to investigate how miR-584-5p influences HNSC.</p><p><strong>Methods: </strong>The Cancer Genome Atlas (TCGA) provided samples for the study. We use statistical methods to evaluate the diagnostic value, the prognostic value, and the correlation with the clinical features of miR-584-5p. We analyze the target genes and the regulatory network of miR- 584-5p. Quantitative reverse transcriptase PCR (qRT-PCR) confirmed the expression of miR- 584-5p in HNSC cell lines.</p><p><strong>Results: </strong>MiR-584-5p expression of miR-584-5p varied significantly among different types of cancer. A notable correlation was observed between elevated miR-584-5p expression and gender (p < 0.001) and histological grade (p < 0.001). Furthermore, high levels of miR-584-5p were found to be associated with a decrease in overall survival (HR: 1.44; 95% CI: 1.10-1.88; p = 0.007), progression-free survival (HR: 1.35; 95% CI: 1.02-1.79; p = 0.035) and disease-specific survival (HR: 1.54; 95% CI: 1.09-2.18; p = 0.016) in the context of HNSC. miR-584-5p demonstrated independent prognostic significance in HNSC and potentially contributes to disease progression through multiple pathways, such as dilated cardiomyopathy and hypertrophic cardiomyopathy. In particular, HNSC cell lines exhibited a substantial upregulation of miR-584-5p compared to normal epithelial cells.</p><p><strong>Conclusions: </strong>It is possible that miR-584-5p could serve as a promising patent for a therapeutic target and prognostic biomarker for people with HNSC.</p>","PeriodicalId":93961,"journal":{"name":"Current computer-aided drug design","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141592440","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Network Pharmacology and Molecular Docking Integrated with Molecular Dynamics Simulations Investigate the Pharmacological Mechanism of Yinchenhao Decoction in the Treatment of Non-alcoholic Fatty Liver Disease.","authors":"Rong Yang, Dansheng Jiang, Hongling Xu, Huili Yang, Lian Feng, Qibiao Wu, Yufeng Xing","doi":"10.2174/0115734099305489240702075128","DOIUrl":"https://doi.org/10.2174/0115734099305489240702075128","url":null,"abstract":"<p><strong>Background: </strong>Non-Alcoholic Fatty Liver Disease (NAFLD) has become a significant health and economic burden globally. Yinchenhao decoction (YCHD) is a traditional Chinese medicine formula that has been validated to exert therapeutic effects on NAFLD.</p><p><strong>Object: </strong>The current study aimed to explore the pharmacological mechanisms of YCHD on NAFLD and further identify the potential active compounds acting on the main targets.</p><p><strong>Methods: </strong>Compounds in YCHD were screened and collected from TCMSP and published studies, and their corresponding targets were obtained from the SWISS and SEA databases. NAFLD-related targets were searched in the GeneCards and DisGeNet databases. The \"compound- intersection target\" network was constructed to recognize the key compounds. Moreover, a PPI network was constructed to identify potential targets. GO and KEGG analyses were performed to enrich the functional information of the intersection targets. Then, molecular docking was used to identify the most promising compounds and targets. Finally, molecular dynamics (MD) simulations were performed to verify the binding affinity of the most potential compounds with the key targets.</p><p><strong>Results: </strong>A total of 53 compounds and 556 corresponding drug targets were collected. Moreover, 2684 NAFLD-related targets were obtained, and 201 intersection targets were identified. Biological processes, including the apoptotic process, inflammatory response, xenobiotic metabolic process, and regulation of MAP kinase activity, were closely related to the treatment of NAFLD. Metabolic pathways, non-alcoholic fatty liver disease, the MAPK signaling pathway, and the PI3K-Akt signaling pathway were found to be the key pathways. Molecular docking showed that quercetin and isorhamnetin were the potential active compounds, while AKT1, IL1B, and PPARG were the most promising targets. MD simulations further verified that the binding of PPARG-isorhamnetin (-35.96 ± 1.64 kcal/mol) and AKT1-quercetin (-31.47 ± 1.49 kcal/mol) was due to their lowest binding free energy.</p><p><strong>Conclusion: </strong>This study demonstrated that YCHD exerts therapeutic effects for the treatment of NAFLD through multiple targets and pathways, providing a theoretical basis for further pharmacological research on the potential mechanisms of YCHD in NAFLD.</p>","PeriodicalId":93961,"journal":{"name":"Current computer-aided drug design","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141592441","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Identification of Potent SFRP1 Inhibitors for Colorectal Cancer using a Comprehensive Computational Approach.","authors":"Muralidharan Jothimani, Sivakumar Vijayaraghavalu, Karthik Sadasivam, Karthikeyan Muthusamy","doi":"10.2174/0115734099312707240702110653","DOIUrl":"https://doi.org/10.2174/0115734099312707240702110653","url":null,"abstract":"<p><strong>Background: </strong>The incidence of CRC has increased worldwide over the past decade. The statistics report from WHO highlights the increased severity and fatality rate of CRC among the populations. Wnt/β-catenin is recognized as the resource for cell regeneration and cancer signaling pathways driven by frizzled receptor cofactors. Aberrant regulation of Wnt/β- catenin suppression is an important challenge in treating CRC management.</p><p><strong>Aims and objective: </strong>The SFRP1 comprises a cysteine-rich region that is homologous to the putative Wnt-binding sites of Frizzled proteins, with the potential to impede and alter the cascade of Wnt signaling. Indirect regulation, like targeting Wnt antagonist SFRP1, is an alternative strategy to suppress the cancer signals by enhancing the apoptotic activity. Hence, this study aimed to approach the SFRP1 protein as a therapeutic target to inhibit Wnt signaling in colorectal cancer. Further, it aimed to identify the lead compounds against the SFRP1 protein, which inhibit the oncogenic expression of CRC, which might be possible using computational approaches, recognizing the importance of the SFRP1 protein role in CRC.</p><p><strong>Methods: </strong>The homology-modeled SFRP1 structure was refined, and virtual screening was performed against the anti-cancer drugs and natural drug databases to find the best hit molecules. The molecular docking, MD, and MMGBSA analysis confirmed the firm binding of SFRP1 complexes to identify the potent CRC inhibitors.</p><p><strong>Results: </strong>The amino acid residues Arg5, Arg11, Ala13, Lys 245, Lys274, Phe147, Pro99, and Ser277 are essential for ligand binding and show similar interactions for SFRP1 complexes. The ADME/T profile for top hits is acceptable in range and obtains the drug-likeness property. The 100ns run for MD simulation confirms the stability of protein complexes.</p><p><strong>Conclusion: </strong>Overall, the findings of this study reveal that the lead compounds screened are capable of inhibiting SFRP1 against CRC. Targeting SFRP1 paves the way for new platforms in the field of cancer and the therapeutic sector for new approachable finds.</p>","PeriodicalId":93961,"journal":{"name":"Current computer-aided drug design","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141581855","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Antibacterial Efficacy of a Compound Extracted from Marine Sediment Bacterium Enterococcus Lactis (S-2): A Comparative Analysis Through In-Vitro and In-Silico Assessments.","authors":"Muddukrishnaiah Kotakonda, Makesh Marappan","doi":"10.2174/0115734099305519240531053135","DOIUrl":"https://doi.org/10.2174/0115734099305519240531053135","url":null,"abstract":"<p><strong>Background: </strong>Marine sediment bacteria have been generating considerable attention lately due to their potential as valuable reservoirs of novel antimicrobial agents.</p><p><strong>Aim: </strong>In vitro and in silico antibacterial activities of antibacterial compounds isolated from the marine sediment bacterium Enterococcus Lactis (S-2).</p><p><strong>Methods: </strong>Coastal sediment samples were collected from Rameswaram, Ramnathapuram District, Tamil Nadu, India. Bacteria were isolated using the crowded plate method, and their phenotypic and genotypic characteristics were studied. Purified bacteria were cultured in large volumes, secondary metabolites were extracted, and novel antibacterial agents were isolated from the aqueous extract. Novel compound antibacterial activity was studied through in-silico and invitro. The mechanism activity of antibacterial activity was confirmed by a high-resolution transmission electron microscope.</p><p><strong>Results: </strong>Genotypic analysis confirmed that the isolated S-2 bacteria were Enterococcus lactis, and the aqueous extract showed antibacterial activity against Staphylococcus aureus (17 mm zone of inhibition) and Proteus mirabilis (12 mm zone of inhibition). A bioactive molecule, 13- hydroxy-9-(1-hydroxyethyl)-11-methoxy-2,4dioxapentacyclo[10.7.1.0³,⁴.0⁵,²¹.0¹³,¹⁶]icosa- 1(20),5,7,12,14(19), 16-hexane-18-one, was isolated from aqueous extracts of the S-2 bacterium. Chromatography and spectroscopic analysis confirmed the identity of the isolated compound. Novel compound potential antibacterial activity showing against S. aureus (18 mm zone of inhibition) and MIC 250 μg/mL, which was confirmed by tetrazolium staining. The antibacterial activity mechanism was confirmed by transmission electron microscopy. Molecular docking studies show good binding (-9.9 kcal/mol) of the compound with 3U2D, while molecular dynamic simulation studies confirm the conformationally stable structure of the complex between 3U2D and 13-hydroxy-9-(1-hydroxyethyl)-11-methoxy-2,4-dioxapentacyclo [10.7.1.0³,⁴.0⁵,²¹.0¹³,¹⁶]icosa-1(20),5,7,12,14(19), 16-hexane-18-one. It has been observed from the docking study of 3U2D with standard drug ciprofloxacin that the lower affinity is compared to the test ligand, which has a docking score of 7.3 kcal/mol. Out of interacting residues of protein 3U2D residue, Thr173 and Ile86 formed conventional hydrogen bonds.</p><p><strong>Conclusion: </strong>Marine bacterium E. lactis produces a novel antibacterial compound (13-hydroxy- 9-(1-hydroxyethyl)-11-methoxy-2,4-dioxapentacyclo[10.7.1.0³,⁴.0⁵,²¹.0¹³,¹⁶]icosa- 1(20),5,7,12,14(19),16-hexane-18-one), which shows antibacterial activity against clinical S. aureus, confirmed by in vitro and in silico analysis. This molecule can used as a lead molecule for antibacterial activity.</p>","PeriodicalId":93961,"journal":{"name":"Current computer-aided drug design","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141312478","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Diabetes-compound Relationship Identification based on Complex-valued Flexible Neural Tree and Negative Sample Selection Algorithm.","authors":"Xiaochao Sun, Bin Yang","doi":"10.2174/0115734099311445240529062318","DOIUrl":"https://doi.org/10.2174/0115734099311445240529062318","url":null,"abstract":"<p><strong>Background: </strong>Virtual screening (VS) could select possible effective candidates from a large number of organic compounds, which plays an important role in network pharmacology. Virtual screening is a very important step in network pharmacology.</p><p><strong>Objective: </strong>The accuracy of screening compounds directly determines the subsequent network construction, target determination and pathway analysis. In order to improve the accuracy of screening the important compounds in herbs for treating diabetes, a novel methodology based on complex-valued flexible neural tree (CVFNT) model and negative sample selection algorithm is presented.</p><p><strong>Methods: </strong>In our method, diabetes-related targets were obtained by literature search. According to diabetes-related targets, active compounds were searched from the public database. The negative sample selection algorithm based on Tanimoto index was proposed to establish inactive compound set. The CVFNT model optimized was utilized to screen effective candidate compounds.</p><p><strong>Result: </strong>Our proposed method performs better than eight classical classifiers in terms of TPR, FPR, Precision, Specificity, F1, AUC and ROC curve. Our method could also predict 18 compounds from Liangxue Sanyu Decoction, which are involved in the treatment of diabetes.</p>","PeriodicalId":93961,"journal":{"name":"Current computer-aided drug design","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141302285","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Identification of Novel Inhibitors for ERα Target of Breast Cancer By In Silico Approach.","authors":"Veerachamy Alagarsamy, Mohaideen Thasthagir Sulthana, Bandi Narendhar, Viswas Raja Solomon, Manavalan Gobinath, Aithamraju Satishchandra, Dubudam Sangeetha, Sankaraanarayanan Murugesan","doi":"10.2174/0115734099301866240527100128","DOIUrl":"https://doi.org/10.2174/0115734099301866240527100128","url":null,"abstract":"<p><strong>Background: </strong>Estrogen alpha has been recognized as a perilous factor in breast cancer cell proliferation and has been proficiently treated in breast cancer chemotherapy with the development of selective estrogen receptor modulators (SERMs).</p><p><strong>Objectives: </strong>The major aim of this study was to identify the potential inhibitors against the most influential target ERα receptor by in silico studies of 115 phytochemicals from 17 medicinal plants using in silico molecular docking studies.</p><p><strong>Methods: </strong>The molecular docking investigation was carried out by a genetic algorithm using the Auto Dock Vina program, and the validation of docking was also performed using molecular dynamic (MD) simulation by the Desmond tool of Schrödinger molecular modeling. The ADME( T) studies were performed by SWISS ADME and ProTox-II.</p><p><strong>Results: </strong>The top ten highest binding energy phytochemicals identified were amyrin acetate (- 10.7 kcal/mol), uscharine (-10.5 kcal/mol), voruscharin (-10.0 kcal/mol), cyclitols (-10.0 kcal/mol), taraxeryl acetate (-9.9 kcal/mol), amyrin (-9.9 kcal/mol), barringtogenol C (-9.9 kcal/mol), calactin (-9.9 kcal/mol), 3-beta taraxerol (-9.8 kcal/mol), and calotoxin (-9.8 kcal/mol). A molecular docking study revealed that these phytochemical constituents showed higher binding affinity compared to the reference standard tamoxifen (-6.6 kcal/mol) towards the target protein ERα. The results of MD studies showed that all four tested compounds possess comparatively stable ligand-protein complexes with ERα target as compared to the tamoxifen- ERα complex.</p><p><strong>Conclusion: </strong>Among the ten compounds, phytochemical amyrin acetate (triterpenoids) formed a more stable complex as well as exhibited greater binding affinity than standard tamoxifen. ADMET studies for the top ten phytochemicals showed a good safety profile. Additionally, these compounds are being reported for the first time in this study as possible inhibitors of ERα for the treatment of breast cancer by adopting the concept of drug repurposing. Hence, these phytochemicals can be further studied and can be used as a parent core molecule to develop novel lead molecules for breast cancer therapy.</p>","PeriodicalId":93961,"journal":{"name":"Current computer-aided drug design","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141285631","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Study on the Mechanism of Action of the Traditional Chinese Medical Prescription Gushukang in Treating Osteoporosis Based on Network Pharmacology and Experimental Verification.","authors":"Shujun Wang, Shaowen Zhu, Xincheng Li, Zhao Yang","doi":"10.2174/0115734099282620240521102006","DOIUrl":"https://doi.org/10.2174/0115734099282620240521102006","url":null,"abstract":"<p><strong>Background: </strong>Gushukang (GSK), a traditional Chinese medical prescription, has made a great and extensive contribution to the treatment of different forms of osteoporosis, but polypharmacology studies of its mechanism of action are lacking. This study investigates the pharmacological mechanism of osteoporosis using network pharmacology and molecular docking. Experimental verification was carried out to confirm the efficacy of GSK on RANKLinduced osteoclast differentiation in RAW264.7 cells to verify the network pharmacology studies.</p><p><strong>Methods: </strong>The effective chemical components and corresponding targets of osteoporosis with oral bioavailability of more than 30% and drug-like properties greater than 0.18 were searched in the TCMSP and TCM-ID databases. DrugBank, GeneCards, OMIM, TTD, and other databases were examined for targets related to osteoporosis. Using Cytoscape software, a network of possible TCM-active ingredient-osteoporosis targets was created. STRING software was used to create the networks of protein-protein interactions. The DAVID program was carried out to conduct GO and KEGG pathway enrichment analyses of the targets. Molecular docking and pattern of action analysis were carried out using software like AutoDock Vina and Discovery Studio Visualizer. The growth media for RAW264.7 cells contained varying doses of GSK serum and 50 ng/mL RANKL. The activity of TRAP was altered. Additionally, genes related to osteoclasts were examined using an RT-PCR assay.</p><p><strong>Results: </strong>Network pharmacological analysis revealed that the primary efficacy targets of osteoporosis were PTGS2, PTGS1, HSP90AA1, NCOA2, ADRB2, ESR1, NCOA1, and AR. The pharmacological targets of osteoporosis may be mediated by substances including quercetin, kaempferol, luteolin, naringenin, icariin, anthocyanin, tanshinone IIA, and cryptotanshinone. GSK markedly inhibited RANKL-induced TRAP activity. qRT-PCR results revealed decreased expression of the PTGS2 and ADRB2 genes upon GSK treatment.</p><p><strong>Conclusion: </strong>The findings of network pharmacology, molecular docking, as well as experimental verification provide a new further study for elucidating the pharmacodynamic substance basis and polypharmacology mechanism of GSK in treating osteoporosis.</p>","PeriodicalId":93961,"journal":{"name":"Current computer-aided drug design","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141162973","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploration of Potential Targets and Molecular Mechanisms of the Yiqi Jianpi Tongqiao Formula in Treating Allergic Rhinitis Mouse Model based on Network Pharmacology and Molecular Docking.","authors":"Sihong Huang, Yue Huang","doi":"10.2174/0115734099299714240516160158","DOIUrl":"https://doi.org/10.2174/0115734099299714240516160158","url":null,"abstract":"<p><strong>Objective: </strong>To investigate the therapeutic effect of Yiqi Jianpi Tongqiao (YJT) formula (Hedysarum Multijugum Maxim, Magnoliae Flos, Xanthii Fructus, Notopterygii Rhizoma Et Radix, Kaempferiae Rhizoma, Acoritataninowii Rhizoma, Saposhnikoviae Radix) on an allergic rhinitis mouse model, and to explore the active ingredients, key targets, and molecular mechanisms of this formula using network pharmacology and molecular docking methods.</p><p><strong>Methods: </strong>An allergic rhinitis mouse model was established to observe changes in rhinitis symptoms, nasal mucosal morphology, and serum indicators after administering the YJT formula. The TCMSP, GeneCards, OMIM, and DisGeNET databases were used to screen for the active ingredients, action targets, and disease targets of the YJT formula. The Cytoscape software was used to construct a network of the active ingredients and action targets. The protein-protein interaction (PPI) network was used to predict hub genes. The corresponding active compounds with the hub genes' highest oral bioavailability (OB) values were identified, followed by molecular docking analysis.</p><p><strong>Results: </strong>Animal experiments demonstrated that the YJT formula reduced rhinitis symptoms (nasal itching, runny nose, and face scratching) in allergic rhinitis mice, as well as decreased nasal mucosal inflammatory reactions and serum inflammatory indicators (histamine, OVAspecific IgE, IL-1β levels). Furthermore, 63 active components and 101 potential indicator targets of the YJT formula were identified, along with 5 hub genes (IL6, AKT1, IL1B, VEGFA, and PTGS2), and the corresponding active compounds with the highest OB values were quercetin, aloe-emodin, and denudanolide b. Molecular docking results revealed the binding energy between quercetin, aloe-emodin, denudanolide b and 5 hub genes (IL6, AKT1, IL1B, VEGFA, and PTGS2) were -5.78 to -10.22 kcal/mol, the binding energy between dexamethasone and 5 hub genes were -6.3 to -9.7 kcal/mol. In addition, GO and KEGG analysis suggested significant enrichment of these genes in biological processes such as response to lipopolysaccharide, response to molecule of bacterial origin, and response to reactive oxygen species, as well as signaling pathways like AGE-RAGE signaling pathway in diabetic complications, Lipid and atherosclerosis, and IL-17 signaling pathway.</p><p><strong>Conclusion: </strong>The YJT formula has therapeutic effects in an allergic rhinitis mouse model, with the main active components being quercetin, aloe-emodin, and denudanolide b, and the key targets being IL6, AKT1, IL1B, VEGFA, and PTGS2, involving multiple signaling pathways.</p>","PeriodicalId":93961,"journal":{"name":"Current computer-aided drug design","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141156001","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}