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Deciphering phosphodiesterase-5 inhibitors from Aframemum melegueta: computational models against erectile dysfunction. 解密Aframemum melegueta的磷酸二酯酶-5抑制剂:对抗勃起功能障碍的计算模型。
Pub Date : 2024-11-09 eCollection Date: 2024-01-01 DOI: 10.1007/s40203-024-00284-3
Damilola Alex Omoboyowa

Insufficient and inability to maintain erection in male for satisfactory sexual performance remains global challenge among couples. The identification of phosphodiesterase-5 (PDE-5) antagonist in the pathogenesis of erectile dysfunction has improved the search for therapeutic agents for the management of this sexual dysfunction. Here in, bioactive compounds from Aframomum melegueta were virtually screened against PDE-5 using Schrodinger suite 2017-1 as computational tool. The lead compound was further validated in comparison with sildenafil by performing 100 ns molecular dynamics (MD) simulation using Desmond. Among 109 bioactive compounds screened, nine (9) molecules were predicted as potent inhibitors of PDE-5 with binding affinities comparable to the co-crystalized ligand (sildenafil). 1,7-bis(3,4-dihyroxy-5-methoxyphenyl)heptane-3,5-diyldiacetate was observed to have the best docking score (-11.522 kcal/mol) among the hit compounds which is very close to the co-crystalized ligand (-11.872 kcal/mol). Validation using pharmacophore hypothesis and QSAR modeling further confirmed the prediction of the hit compounds with fitness score ranging from 0.754 to 2.605 and predicted pIC50 of 3.835 to 7.976 µM. All the hit compounds obeyed Lipinski's rule of five and within the reference range of the pharmacokinetics parameters. The MD simulation result predicted the stability of 1,7-bis(3,4-dihydroxy-5-methoxyphenyl)heptane-3,5-diyldiacetate-PDE-5 complex comparable to the sildenafil-PDE-5 complex. The outcome of this study predicted nine molecules from A. melegueta as potent PDE-5 antagonists which required isolation and experimental validation for the management of erectile dysfunction.

Supplementary information: The online version contains supplementary material available at 10.1007/s40203-024-00284-3.

男性阴茎勃起不坚或无法维持勃起以获得满意的性生活,仍然是夫妻间面临的全球性挑战。在勃起功能障碍的发病机制中发现了磷酸二酯酶-5(PDE-5)拮抗剂,这有助于寻找治疗这种性功能障碍的药物。在此,利用 Schrodinger suite 2017-1 作为计算工具,对来自 Aframomum melegueta 的生物活性化合物进行了针对 PDE-5 的虚拟筛选。通过使用 Desmond 进行 100 ns 分子动力学(MD)模拟,进一步验证了先导化合物与西地那非的比较。在筛选出的 109 个生物活性化合物中,有九(9)个分子被预测为 PDE-5 的强效抑制剂,其结合亲和力与共晶体配体(西地那非)相当。据观察,在命中化合物中,1,7-双(3,4-二羟基-5-甲氧基苯基)庚烷-3,5-二二乙酸酯的对接得分最高(-11.522 kcal/mol),非常接近共晶体化配体(-11.872 kcal/mol)。利用药效假说和 QSAR 模型进行的验证进一步证实了命中化合物的预测结果,合适度得分在 0.754 至 2.605 之间,预测 pIC50 为 3.835 至 7.976 µM。所有命中化合物均符合利宾斯基的五点法则,且在药代动力学参数的参考范围内。MD 模拟结果预测,1,7-双(3,4-二羟基-5-甲氧基苯基)庚烷-3,5-二二乙酸酯-PDE-5 复合物的稳定性与西地那非-PDE-5 复合物相当。这项研究的结果预测,A. melegueta 的九种分子是强效的 PDE-5 拮抗剂,需要进行分离和实验验证,以治疗勃起功能障碍:在线版本包含补充材料,可查阅 10.1007/s40203-024-00284-3。
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引用次数: 0
Development of a Multiple-Epitope-Based Vaccine for Hepatitis C Virus Genotypes 1a and 1b: an in-silico reverse vaccinology approach. 针对丙型肝炎病毒基因 1a 型和 1b 型开发基于多表的疫苗:硅内反向疫苗学方法。
Pub Date : 2024-11-09 eCollection Date: 2024-01-01 DOI: 10.1007/s40203-024-00275-4
Enakshi Das, Mahesh Samantaray, Kajal Abrol, Jayarani Basumatari, Shilpa Sri Pushan, Amutha Ramaswamy

The Hepatitis C virus (HCV) is a blood-transmitted virus responsible for persistent inflammation, presenting a substantial worldwide health challenge. HCV, characterized by a positive-stranded ribonucleic acid genome, possesses an intricate genetic makeup encoding both structural and non-structural proteins, crucial for sustaining its life cycle. The Direct Acting Antivirals have revolutionized the treatment landscape of HCV promoting higher Sustained Virological Response rates. Despite significant advancements in treatment, no vaccines are currently available against HCV. The development of effective HCV vaccines becomes challenging as the genetic diversity of HCV virus and its complex nature of the immune response required for protection. In this work, the immunoinformatics methods were utilized to develop a multiple-epitope-based vaccine towards an effective treatment against the viral HCV polyprotein. The vaccine was constructed by T-cell epitopes extracted from the viral polyprotein of HCV genotypes 1a and 1b. The vaccine was highly antigenic, non-toxic, and non-allergenic. Effective binding of the designed vaccine construct was studied by forming complexes with the human immune Toll-Like Receptors; TLR3 and TLR8. The MD simulation of these receptor-vaccine complexes were performed for 50ns and the immunological simulation of modeled vaccine in presence of receptors for 365 days timeline validated the stability of the constructed vaccine. The in-silico vaccine construct developed from this work might be beneficial as prophylactic measures against the HCV variants, if explored further in in vivo and in vitro methods. Consequently, this research outcome is presumed to have implications in the development of safer and more efficient vaccines for lethal diseases.

Graphical abstract:

Supplementary information: The online version contains supplementary material available at 10.1007/s40203-024-00275-4.

丙型肝炎病毒(HCV)是一种血液传播病毒,可导致持续性炎症,给全世界的健康带来巨大挑战。丙型肝炎病毒(HCV)以正链核糖核酸基因组为特征,拥有复杂的基因组成,编码结构蛋白和非结构蛋白,对维持其生命周期至关重要。直接作用抗病毒药物彻底改变了 HCV 的治疗格局,提高了持续病毒学应答率。尽管在治疗方面取得了重大进展,但目前还没有针对 HCV 的疫苗。由于 HCV 病毒的遗传多样性及其保护所需的免疫反应的复杂性,开发有效的 HCV 疫苗变得极具挑战性。在这项工作中,我们利用免疫信息学方法开发了一种基于多表位的疫苗,以有效治疗病毒性 HCV 多蛋白。该疫苗由从 HCV 基因型 1a 和 1b 的病毒多聚蛋白中提取的 T 细胞表位构建而成。该疫苗具有高抗原性、无毒性和无过敏性。通过与人体免疫 Toll-Like 受体(TLR3 和 TLR8)形成复合物,研究了所设计疫苗构建体的有效结合。对这些受体-疫苗复合物进行了 50ns 的 MD 模拟,并对模型疫苗在受体存在下进行了 365 天的免疫学模拟,验证了所构建疫苗的稳定性。如果在体内和体外方法中进行进一步探索,这项工作中开发出的硅内疫苗构建物可能有利于作为针对 HCV 变体的预防措施。因此,这项研究成果被认为对开发更安全、更有效的致命疾病疫苗具有重要意义:在线版本包含补充材料,可查阅 10.1007/s40203-024-00275-4。
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引用次数: 0
Scaffold transforming and in-silico design of potential androgen receptor antagonists in prostate cancer therapy. 前列腺癌治疗中潜在雄激素受体拮抗剂的支架转化和体内设计。
Pub Date : 2024-11-09 eCollection Date: 2024-01-01 DOI: 10.1007/s40203-024-00274-5
Ajay Kumar Gupta, Piyush Ghode, Sanmati Kumar Jain

Androgens like testosterone and dihydrotestosterone are essential for the growth and development of the prostate gland. Androgenic receptors are overexpressed, which promotes the progression of prostate cancer; therefore, androgenic receptors are a key target in the therapy of prostate cancer. Enzalutamide is used to treat prostate cancer; however, it also causes toxicities such as cardiovascular toxicity, acute myocarditis, hypertension, and seizures. The objective of this research was to create novel and safer analogues of enzalutamide, followed by the prediction of the pharmacokinetic and toxicity characteristics of these enzalutamide analogues. Molecular docking studies of analogues were also done to guess how ligands will work biologically in treating prostate cancer. A total of 195 analogues were generated, and among them, 23 bioisosteres were selected for further pharmacokinetic, toxicological screening and docking studies. The predicted physical-chemical, medicinal, and ADMET characteristics of the designed bioisosteres were optimal to good compared to enzalutamide. Additionally, the drug likeness and drug score of analogues were superior to enzalutamide. According to docking studies of analogues, EZ12, EZ8, and EZ10 formed hydrogen bonds of SER778 with replaceable amide groups in enzalutamide molecules. SER778 residue may be responsible for antagonistic activity towards androgen receptors. Based on the results of the ADMET, drug likeness, drug score, and docking study of designed enzalutamide analogues, the ligands EZ12, EZ8, and EZ10 could be used to find more possible antiandrogen drugs that could be used to treat prostate cancer.

睾酮和双氢睾酮等雄激素对前列腺的生长和发育至关重要。雄激素受体过度表达会促进前列腺癌的发展,因此,雄激素受体是治疗前列腺癌的关键靶点。恩杂鲁胺用于治疗前列腺癌,但它也会引起毒性反应,如心血管毒性、急性心肌炎、高血压和癫痫发作。这项研究的目的是创造出更安全的新型恩杂鲁胺类似物,然后预测这些恩杂鲁胺类似物的药代动力学和毒性特征。此外,还对类似物进行了分子对接研究,以猜测配体在治疗前列腺癌方面的生物作用。共产生了 195 个类似物,其中 23 个生物类似物被选中用于进一步的药代动力学、毒理学筛选和对接研究。与恩扎鲁胺相比,所设计的生物异构体的理化、药理和 ADMET 特性均达到最佳至良好水平。此外,类似物的药物相似度和药物评分均优于恩杂鲁胺。根据对类似物的对接研究,EZ12、EZ8 和 EZ10 与恩扎鲁胺分子中的可取代酰胺基形成了 SER778 的氢键。SER778 的残基可能对雄激素受体具有拮抗活性。根据所设计的恩杂鲁胺类似物的 ADMET、药物相似性、药物评分和对接研究结果,配体 EZ12、EZ8 和 EZ10 可用于寻找更多可能的抗雄激素药物,以治疗前列腺癌。
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引用次数: 0
Effects of some anti-ulcer and anti-inflammatory natural products on cyclooxygenase and lipoxygenase enzymes: insights from in silico analysis. 一些抗溃疡和消炎天然产品对环氧合酶和脂氧合酶的影响:硅分析的启示。
Pub Date : 2024-11-02 eCollection Date: 2024-01-01 DOI: 10.1007/s40203-024-00269-2
Jonathan A Metuge, Jude Y Betow, Boris D Bekono, Mathieu Jules Mbenga Tjegbe, Roland N Ndip, Fidele Ntie-Kang

Gastric and duodenal ulcers are increasingly becoming global health burdens. The side effects of conventional treatments such as non-steroid anti-inflammatory drugs (NSAIDs), proton pump inhibitors (PPIs), antibiotics, and cytoprotective agents have necessitated the search for new medications. Plants are a rich source of active metabolites and herbal medicines have been used in the treatment of ulcers and cancers. In this study, we used in silico methods like molecular docking and MM-GBSA calculations to evaluate the effects of some anti-ulcer and anti-inflammatory phytochemicals on some key enzymes, cyclooxygenase (COX), and lipoxygenase (LOX), which are implicated in the protection and destruction of the gastric mucosa. The phytochemicals were retrieved from the literature and docked toward the binding sites of the three enzymes (COX-1, COX-2, and 5-LOX). Five compounds, rhamnetin, kaempferol, rutin, rosmarinic acid, and chlorogenic acid were observed to putatively bind to cyclooxygenase 2 (COX-2) and 5-lipoxygenase (5-LOX) but not to cyclooxygenase 1 (COX-1). The interaction mechanisms between these phytochemicals and the target proteins are discussed. The compounds' drug metabolism, pharmacokinetics, and toxicity have been evaluated to assess their suitability as potential next-generation anti-ulcer and anti-inflammatory drugs.

Supplementary information: The online version contains supplementary material available at 10.1007/s40203-024-00269-2.

胃溃疡和十二指肠溃疡正日益成为全球健康的负担。非甾体抗炎药(NSAIDs)、质子泵抑制剂(PPIs)、抗生素和细胞保护剂等传统治疗方法的副作用促使人们寻找新的药物。植物是活性代谢物的丰富来源,草药已被用于治疗溃疡和癌症。在这项研究中,我们采用分子对接和 MM-GBSA 计算等硅学方法,评估了一些抗溃疡和抗炎植物化学物质对一些关键酶、环氧化酶(COX)和脂氧合酶(LOX)的影响,这些酶与胃黏膜的保护和破坏有关。这些植物化学物质是从文献中提取的,并与这三种酶(COX-1、COX-2 和 5-LOX)的结合位点对接。观察到鼠李素、山柰酚、芦丁、迷迭香酸和绿原酸这五种化合物可能与环氧化酶 2(COX-2)和 5-脂氧合酶(5-LOX)结合,但不与环氧化酶 1(COX-1)结合。本文讨论了这些植物化学物质与靶蛋白之间的相互作用机制。对这些化合物的药物代谢、药代动力学和毒性进行了评估,以评估它们是否适合作为潜在的下一代抗溃疡和抗炎药物:在线版本包含补充材料,可查阅 10.1007/s40203-024-00269-2。
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引用次数: 0
Molecular docking and network pharmacology study on active compounds of Cyprus rotundus for the treatment of diabetes mellitus. 治疗糖尿病的塞浦路斯腐草活性化合物的分子对接和网络药理学研究。
Pub Date : 2024-11-02 eCollection Date: 2024-01-01 DOI: 10.1007/s40203-024-00273-6
Vishakha Desai, Mohammad Ziyad Shaikhsurab, Nimmy Varghese, Harsha Ashtekar

Background: Diabetes Mellitus (DM) is a complex metabolic disorder with increasing global prevalence, necessitating the exploration of novel therapeutic strategies. Cyprus rotundus, a medicinal plant with a long history of traditional use, has shown promising potential in managing DM.

Aim of the study: This study aims to elucidate the mechanism of action of active components of C. rotundus in managing DM using a combination of network pharmacology and molecular docking approaches.

Materials and methods: The active compounds of C. rotundus were identified through IMPPAT and CHEBI database mining. Subsequently, compound-target are taken from swiss target prediction and SEA. Collection of DM-related targets is done through DisGeNET and TTD database. After identifying both the targets, common targets were evaluated through venny 2.1.0. by constructing venn diagram. To elucidate the potential targets of these compounds, a protein-protein interaction network was constructed by utilizing STRING database. Through network analysis, we identified key targets and pathways involved in the pathogenesis of DM and targeted by the active components of C. rotundus. Furthermore, molecular docking was performed to explore the binding affinity and interactions between the active compounds and their target proteins.

Results: This, reveal that the 12 active components of C. rotundus exert their therapeutic effects on DM through multiple mechanisms, there are 141 common target genes between C. rotundus and DM. Enrichment of the KEGG pathway mainly involves in the AGE-RAGE signaling pathway in diabetic complications, Type II DM pathway. Top 10 genes were regulated by C. rotundus in DM, including MMP9, PTGS2, CASP3, CD4, EGFR, STAT3, PPARG, AKT1, NFKB1 and MAPK3. Molecular docking analysis further validates the strong binding affinity between the active compounds and their target proteins, providing insights into their mode of action at the molecular level.

Conclusions: This study provides a systematic understanding of the mechanism of action of C. rotundus in managing DM, offering a basis for further experimental validation and drug development.

背景:糖尿病(DM)是一种复杂的代谢性疾病,在全球的发病率越来越高,因此有必要探索新的治疗策略。有着悠久传统使用历史的药用植物塞浦路斯萝芙木在治疗糖尿病方面显示出了巨大的潜力:研究目的:本研究旨在结合网络药理学和分子对接方法,阐明旋覆花活性成分在治疗 DM 方面的作用机制:通过 IMPPAT 和 CHEBI 数据库挖掘,确定了腐竹的活性化合物。随后,从瑞士靶标预测和 SEA 中提取化合物-靶标。通过 DisGeNET 和 TTD 数据库收集 DM 相关靶标。在确定这两个靶点后,通过构建维恩图,利用 venny 2.1.0 对共同靶点进行评估。为了阐明这些化合物的潜在靶点,我们利用 STRING 数据库构建了蛋白质-蛋白质相互作用网络。通过网络分析,我们确定了涉及 DM 发病机制的关键靶点和通路,以及腐竹活性成分的靶点。此外,还进行了分子对接,以探索活性化合物与其靶蛋白之间的结合亲和力和相互作用:结果表明:腐竹的12种活性成分通过多种机制对DM产生治疗作用,腐竹与DM之间存在141个共同的靶基因。KEGG通路的富集主要涉及糖尿病并发症、II型DM通路中的AGE-RAGE信号通路。被轮叶草调控的前 10 个基因包括 MMP9、PTGS2、CASP3、CD4、EGFR、STAT3、PPARG、AKT1、NFKB1 和 MAPK3。分子对接分析进一步验证了活性化合物与其靶蛋白之间的强结合亲和力,为了解其分子水平的作用模式提供了依据:本研究系统地了解了腐竹治疗 DM 的作用机制,为进一步的实验验证和药物开发奠定了基础。
{"title":"Molecular docking and network pharmacology study on active compounds of <i>Cyprus rotundus</i> for the treatment of diabetes mellitus.","authors":"Vishakha Desai, Mohammad Ziyad Shaikhsurab, Nimmy Varghese, Harsha Ashtekar","doi":"10.1007/s40203-024-00273-6","DOIUrl":"10.1007/s40203-024-00273-6","url":null,"abstract":"<p><strong>Background: </strong>Diabetes Mellitus (DM) is a complex metabolic disorder with increasing global prevalence, necessitating the exploration of novel therapeutic strategies. <i>Cyprus rotundus</i>, a medicinal plant with a long history of traditional use, has shown promising potential in managing DM.</p><p><strong>Aim of the study: </strong>This study aims to elucidate the mechanism of action of active components of <i>C. rotundus</i> in managing DM using a combination of network pharmacology and molecular docking approaches.</p><p><strong>Materials and methods: </strong>The active compounds of <i>C. rotundus</i> were identified through IMPPAT and CHEBI database mining. Subsequently, compound-target are taken from swiss target prediction and SEA. Collection of DM-related targets is done through DisGeNET and TTD database. After identifying both the targets, common targets were evaluated through venny 2.1.0. by constructing venn diagram. To elucidate the potential targets of these compounds, a protein-protein interaction network was constructed by utilizing STRING database. Through network analysis, we identified key targets and pathways involved in the pathogenesis of DM and targeted by the active components of <i>C. rotundus</i>. Furthermore, molecular docking was performed to explore the binding affinity and interactions between the active compounds and their target proteins.</p><p><strong>Results: </strong>This, reveal that the 12 active components of <i>C. rotundus</i> exert their therapeutic effects on DM through multiple mechanisms, there are 141 common target genes between <i>C. rotundus</i> and DM. Enrichment of the KEGG pathway mainly involves in the AGE-RAGE signaling pathway in diabetic complications, Type II DM pathway. Top 10 genes were regulated by <i>C. rotundus</i> in DM, including MMP9, PTGS2, CASP3, CD4, EGFR, STAT3, PPARG, AKT1, NFKB1 and MAPK3. Molecular docking analysis further validates the strong binding affinity between the active compounds and their target proteins, providing insights into their mode of action at the molecular level.</p><p><strong>Conclusions: </strong>This study provides a systematic understanding of the mechanism of action of <i>C. rotundus</i> in managing DM, offering a basis for further experimental validation and drug development.</p>","PeriodicalId":94038,"journal":{"name":"In silico pharmacology","volume":"12 2","pages":"98"},"PeriodicalIF":0.0,"publicationDate":"2024-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11531456/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142575633","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Molecular mechanisms of sulforaphane in Alzheimer's disease: insights from an in-silico study. 菔素在阿尔茨海默氏症中的分子机制:一项室内研究的启示。
Pub Date : 2024-11-01 eCollection Date: 2024-01-01 DOI: 10.1007/s40203-024-00267-4
Giang Huong Vu, Hai Duc Nguyen

This study was to identify the molecular pathways that may explain sulforaphane's Alzheimer's disease (AD) benefits using multiple advanced in silico approaches. We found that sulforaphane regulates 45 targets, including TNF, INS, and BCL2. Therefore, it may help treat AD by reducing neuroinflammation, insulin resistance, and apoptosis. The important relationships were co-expression and pathways. 45 targets were linked to the midbrain, metabolite interconversion enzymes, 14q23.3 and 1q31.1 chromosomes, and modified residues. "Amyloid precursor protein catabolic process", "regulation of apoptotic signaling pathway", and "positive regulation of nitric oxide biosynthetic process" were the main pathways, while NFKB1, SP1, RELA, hsa-miR-17-5p, hsa-miR-16-5p, and hsa-miR-26b-5p were transcription factors and miRNAs implicated in sulforaphane In AD treatment, miRNA sponges, dexibuprofen, and sulforaphane may be effective. Furthermore, its unique physicochemical, pharmacokinetic, and biological qualities make sulforaphane an effective AD treatment, including efficient gastrointestinal absorption, drug-like properties, absence of CYP450 enzyme inhibition, not being a substrate for P-glycoprotein, ability to cross the blood-brain barrier, glutathione S-transferase substrate, immunostimulant effects, and antagonistic neurotransmitter effects. Sulforaphane is a promising compound for AD management. Further work is needed to elucidate its therapeutic effects based on our findings, including genes, miRNAs, molecular pathways, and transcription factors.

Supplementary information: The online version contains supplementary material available at 10.1007/s40203-024-00267-4.

这项研究旨在利用多种先进的硅学方法,找出可能解释莱菔硫烷对阿尔茨海默病(AD)的益处的分子途径。我们发现,莱菔硫烷能调节 45 个靶点,包括 TNF、INS 和 BCL2。因此,它可以通过减少神经炎症、胰岛素抵抗和细胞凋亡来帮助治疗阿尔茨海默病。重要的关系是共表达和途径。45个靶点与中脑、代谢物相互转换酶、14q23.3和1q31.1染色体以及修饰残基有关。"NFKB1、SP1、RELA、hsa-miR-17-5p、hsa-miR-16-5p和hsa-miR-26b-5p等转录因子和miRNA与舒乐安定有关。 在AD治疗中,miRNA海绵、右布洛芬和舒乐安定可能有效。此外,其独特的理化、药代动力学和生物学特性使其成为治疗注意力缺失症的有效药物,包括高效的胃肠道吸收、类药物特性、无 CYP450 酶抑制、非 P 糖蛋白底物、能穿过血脑屏障、谷胱甘肽 S 转移酶底物、免疫刺激作用和神经递质拮抗作用。红景天是一种很有希望用于治疗注意力缺失症的化合物。还需要根据我们的研究结果进一步阐明其治疗效果,包括基因、miRNA、分子途径和转录因子:在线版本包含补充材料,可查阅 10.1007/s40203-024-00267-4。
{"title":"Molecular mechanisms of sulforaphane in Alzheimer's disease: insights from an in-silico study.","authors":"Giang Huong Vu, Hai Duc Nguyen","doi":"10.1007/s40203-024-00267-4","DOIUrl":"10.1007/s40203-024-00267-4","url":null,"abstract":"<p><p>This study was to identify the molecular pathways that may explain sulforaphane's Alzheimer's disease (AD) benefits using multiple advanced in silico approaches. We found that sulforaphane regulates 45 targets, including TNF, INS, and BCL2. Therefore, it may help treat AD by reducing neuroinflammation, insulin resistance, and apoptosis. The important relationships were co-expression and pathways. 45 targets were linked to the midbrain, metabolite interconversion enzymes, 14q23.3 and 1q31.1 chromosomes, and modified residues. \"Amyloid precursor protein catabolic process\", \"regulation of apoptotic signaling pathway\", and \"positive regulation of nitric oxide biosynthetic process\" were the main pathways, while NFKB1, SP1, RELA, hsa-miR-17-5p, hsa-miR-16-5p, and hsa-miR-26b-5p were transcription factors and miRNAs implicated in sulforaphane In AD treatment, miRNA sponges, dexibuprofen, and sulforaphane may be effective. Furthermore, its unique physicochemical, pharmacokinetic, and biological qualities make sulforaphane an effective AD treatment, including efficient gastrointestinal absorption, drug-like properties, absence of CYP450 enzyme inhibition, not being a substrate for P-glycoprotein, ability to cross the blood-brain barrier, glutathione S-transferase substrate, immunostimulant effects, and antagonistic neurotransmitter effects. Sulforaphane is a promising compound for AD management. Further work is needed to elucidate its therapeutic effects based on our findings, including genes, miRNAs, molecular pathways, and transcription factors.</p><p><strong>Supplementary information: </strong>The online version contains supplementary material available at 10.1007/s40203-024-00267-4.</p>","PeriodicalId":94038,"journal":{"name":"In silico pharmacology","volume":"12 2","pages":"96"},"PeriodicalIF":0.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11530583/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142570811","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Glucosinolates and Indole-3-carbinol from Brassica oleracea L. as inhibitors of E. coli CdtB: insights from molecular docking, dynamics, DFT and in vitro assay. 作为大肠杆菌 CdtB 抑制剂的 Brassica oleracea L. 中的 Glucosinolates 和 Indole-3-carbinol: insights from molecular docking, dynamics, DFT and in vitro assay.
Pub Date : 2024-10-29 eCollection Date: 2024-01-01 DOI: 10.1007/s40203-024-00276-3
Faria Tasnim, Md Eram Hosen, Md Enamul Haque, Ariful Islam, Mst Naharina Nuryay, Jannatul Mawya, Najnin Akter, Delara Yesmin, Md Mosabbir Hossain, Nilima Rahman, B M Mahmudul Hasan, Md Naimul Hassan, Md Mahmudul Islam, Md Khalekuzzaman

Escherichia coli (E. coli), a common human gut bacterium, is generally harmless but capable of causing infections and contributing to diseases like urinary tract infections, sepsis/meningitis, or diarrheal diseases. Notably, E. coli is implicated in developing gallbladder cancer (GBC) either through ascending infection from the gastrointestinal tract or via hematogenous spread. Certain E. coli strains are known to produce toxins, such as cytolethal distending toxins (CDTs), that directly contribute to the genetic mutations and cellular abnormalities observed in GBC. Broccoli (Brassica oleracea) is known for its health-promoting properties, including antimicrobial, antioxidant, and immunomodulatory effects, and is rich in essential compounds. Our study investigates the potential of the phytochemicals of B. oleracea to inhibit the CdtB (PDB ID: 2F1N) protein of E. coli which plays a significant role in the pathogenesis of GBC. By employing in silico molecular docking, Glucosinolates and Indole-3-carbinol emerged as promising inhibitors, demonstrating strong bonding affinities of -8.95 and - 8.5 Kcal/mol, respectively. The molecular dynamic simulation showed that both compounds maintained stable interaction with CdtB with minimal conformational changes observed in the protein-ligand complexes. Additionally, the ADMET analysis provided evidence for the drug-likeness properties of the lead compounds. Furthermore, the DFT (Density Functional Theory) revealed that Indole-3-carbinol is more chemically stable but less reactive than Glucosinolates, with HOMO-LUMO gaps of 5.14 eV and 4.50 eV, respectively. Finally, the in vitro antibacterial assessment confirmed the inhibitory effect of Glucosinolates and Indole-3-carbinol against E. coli through disc diffusion assay with the zone of inhibition 34.25 ± 0.541 and 28.67 ± 0.376 mm compared to the control ciprofloxacin. Our study provides crucial data for developing novel therapeutic agents targeting E. coli-associated GBC from the phytochemicals of B. oleracea.

Supplementary information: The online version contains supplementary material available at 10.1007/s40203-024-00276-3.

大肠杆菌(E. coli)是一种常见的人类肠道细菌,通常对人体无害,但却能引起感染,导致尿路感染、败血症/脑膜炎或腹泻等疾病。值得注意的是,大肠杆菌与胆囊癌(GBC)的发病有关,它可以通过胃肠道上升感染,也可以通过血源性传播。已知某些大肠杆菌菌株会产生毒素,如细胞致死膨胀毒素(CDTs),直接导致胆囊癌中观察到的基因突变和细胞异常。西兰花(Brassica oleracea)以其促进健康的特性而闻名,包括抗菌、抗氧化和免疫调节作用,并且富含人体必需的化合物。我们的研究调查了芸苔属植物化学物质抑制大肠杆菌 CdtB(PDB ID:2F1N)蛋白的潜力,CdtB 蛋白在 GBC 的发病机制中起着重要作用。通过采用硅学分子对接,Glucosinolates 和 Indole-3-carbinol 成为很有希望的抑制剂,它们分别显示出-8.95 和 - 8.5 Kcal/mol 的强键合亲和力。分子动力学模拟显示,这两种化合物都能与 CdtB 保持稳定的相互作用,在蛋白质配体复合物中观察到的构象变化极小。此外,ADMET 分析为先导化合物的药物相似性提供了证据。此外,DFT(密度泛函理论)显示,吲哚-3-甲醇的化学性质比葡萄糖苷酸盐更稳定,但反应性较低,其 HOMO-LUMO 间隙分别为 5.14 eV 和 4.50 eV。最后,体外抗菌评估通过盘扩散试验证实了葡萄糖苷酸盐和吲哚-3-甲醇对大肠杆菌的抑制作用,与对照环丙沙星相比,抑制面积分别为 34.25 ± 0.541 毫米和 28.67 ± 0.376 毫米。我们的研究为开发针对大肠杆菌相关 GBC 的新型治疗药物提供了重要数据:在线版本包含补充材料,可查阅 10.1007/s40203-024-00276-3。
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引用次数: 0
Protein-protein interaction network study of metallo-beta-lactamase-L1 present in Stenotrophomonas maltophilia and identification of potential drug targets. 嗜麦芽单胞菌中金属-beta-内酰胺酶-L1的蛋白质-蛋白质相互作用网络研究及潜在药物靶点的鉴定。
Pub Date : 2024-10-29 eCollection Date: 2024-01-01 DOI: 10.1007/s40203-024-00270-9
K H Sreenithya, Shobana Sugumar

Microorganisms are evolving to withstand the effect of antimicrobial agents and thereby pose a global threat known as antimicrobial resistance. Resistance towards multiple drugs due to various intrinsic as well environmental factors leads to an even more dangerous drug resistance property known as multi-drug resistance (MDR). WHO has recognized MDR bacteria as a top global threat as they complicate the treatment and augment mortality and morbidity risks. Gram-negative bacteria produce beta-lactamase enzymes that can hydrolyze beta-lactam antibiotics, impacting drug susceptibility. Stenotrophomonas maltophilia, an opportunistic pathogen, exemplifies MDR due to the production of two types of beta-lactamases. The metallo-beta-lactamase (MBL) L1 produced by the bacteria is a class B1 zinc-dependent MBL that is broadly substrate-specific and is a challenge to the currently available treatment options. This study constructs and analyzes a protein-protein interaction network of L1 beta-lactamase to comprehend its role in the MDR property of the bacteria. The network encompasses 51 proteins including L1 MBL (Smlt2667) and 382 interactions, revealing key players in MDR and potential drug targets. The network analysis aids the discernment of antimicrobial gene impact on cellular function, informing drug discovery strategies. This research addresses the emerging challenge of antibiotic resistance and identifies pathways for therapeutic intervention.

Supplementary information: The online version contains supplementary material available at 10.1007/s40203-024-00270-9.

微生物在不断进化,以抵御抗菌剂的作用,从而构成了一种全球性威胁,即抗菌剂耐药性。由于各种内在因素和环境因素导致的对多种药物的耐药性,会产生一种更为危险的耐药性,即多重耐药性(MDR)。世卫组织已将多重耐药菌视为全球首要威胁,因为它们会使治疗复杂化,并增加死亡率和发病率风险。革兰氏阴性细菌产生的β-内酰胺酶能水解β-内酰胺类抗生素,从而影响对药物的敏感性。嗜麦芽血单胞菌是一种机会性病原体,由于产生两种类型的β-内酰胺酶而成为耐药菌。该细菌产生的金属-β-内酰胺酶(MBL)L1 是一种 B1 类锌依赖型 MBL,具有广泛的底物特异性,是对现有治疗方案的挑战。本研究构建并分析了 L1 β-内酰胺酶的蛋白质-蛋白质相互作用网络,以了解其在细菌 MDR 特性中的作用。该网络包括 L1 MBL (Smlt2667) 在内的 51 种蛋白质和 382 种相互作用,揭示了 MDR 中的关键角色和潜在的药物靶点。网络分析有助于鉴别抗菌基因对细胞功能的影响,为药物发现策略提供信息。这项研究解决了新出现的抗生素耐药性挑战,并确定了治疗干预的途径:在线版本包含补充材料,可查阅 10.1007/s40203-024-00270-9。
{"title":"Protein-protein interaction network study of metallo-beta-lactamase-L1 present in <i>Stenotrophomonas maltophilia</i> and identification of potential drug targets.","authors":"K H Sreenithya, Shobana Sugumar","doi":"10.1007/s40203-024-00270-9","DOIUrl":"10.1007/s40203-024-00270-9","url":null,"abstract":"<p><p>Microorganisms are evolving to withstand the effect of antimicrobial agents and thereby pose a global threat known as antimicrobial resistance. Resistance towards multiple drugs due to various intrinsic as well environmental factors leads to an even more dangerous drug resistance property known as multi-drug resistance (MDR). WHO has recognized MDR bacteria as a top global threat as they complicate the treatment and augment mortality and morbidity risks. Gram-negative bacteria produce beta-lactamase enzymes that can hydrolyze beta-lactam antibiotics, impacting drug susceptibility. <i>Stenotrophomonas maltophilia</i>, an opportunistic pathogen, exemplifies MDR due to the production of two types of beta-lactamases. The metallo-beta-lactamase (MBL) L1 produced by the bacteria is a class B1 zinc-dependent MBL that is broadly substrate-specific and is a challenge to the currently available treatment options. This study constructs and analyzes a protein-protein interaction network of L1 beta-lactamase to comprehend its role in the MDR property of the bacteria. The network encompasses 51 proteins including L1 MBL (Smlt2667) and 382 interactions, revealing key players in MDR and potential drug targets. The network analysis aids the discernment of antimicrobial gene impact on cellular function, informing drug discovery strategies. This research addresses the emerging challenge of antibiotic resistance and identifies pathways for therapeutic intervention.</p><p><strong>Supplementary information: </strong>The online version contains supplementary material available at 10.1007/s40203-024-00270-9.</p>","PeriodicalId":94038,"journal":{"name":"In silico pharmacology","volume":"12 2","pages":"94"},"PeriodicalIF":0.0,"publicationDate":"2024-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11519282/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142549790","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A pan-genomic analysis based multi-epitope vaccine development by targeting Stenotrophomonas maltophilia using reverse vaccinology method: an in-silico approach. 利用反向疫苗学方法,针对嗜麦芽僵单胞菌开发基于泛基因组分析的多表位疫苗:一种内科学方法。
Pub Date : 2024-10-24 eCollection Date: 2024-01-01 DOI: 10.1007/s40203-024-00271-8
Md Hasan Jafre Shovon, Md Imtiaz, Partha Biswas, Md Mohaimenul Islam Tareq, Md Nazmul Hasan Zilani, Md Nazmul Hasan

Antibiotic resistance in bacteria leads to high mortality rates and healthcare costs, a significant concern for public health. A colonizer of the human respiratory system, Stenotrophomonas maltophilia is frequently associated with hospital-acquired infections in individuals with cystic fibrosis, cancer, and other chronic illnesses. The importance of this study is underscored by its capacity to meet the critical demand for effective preventive strategies against this pathogen, particularly among susceptible groups of cystic fibrosis and those undergoing cancer treatment. In this study, we engineered a multi-epitope vaccine targeting S. maltophilia through genomic analysis, reverse vaccination strategies, and immunoinformatic techniques by examining a total of 81 complete genomes of S. maltophilia strains. Our investigation revealed 1945 core protein-coding genes alongside their corresponding proteomic sequences, with 191 of these genes predicted to exhibit virulence characteristics. Out of the filtered proteins, three best antigenic proteins were selected for epitope prediction while seven epitopes each from CTL, HTL, and B cell were chosen for vaccine development. The vaccine was refined and validated, showing highly antigenic and desirable physicochemical features. Molecular docking assessments revealed stable binding with TLR-4. Molecular dynamic simulation demonstrated stable dynamics with minor alterations. The originality of this investigation is rooted in the thorough techniques aimed at designing a vaccine that directly targets S. maltophilia, a microorganism of considerable clinical relevance that currently lacks an available vaccine. This study not only responds to a pressing public health crisis but also lays the groundwork for subsequent research endeavors focused on the prevention of S. maltophilia outbreaks. Further evidence from studies in mice models is needed to confirm immune protection against S. maltophilia.

细菌的抗生素耐药性会导致很高的死亡率和医疗成本,是公共卫生的一个重大问题。嗜麦芽气单胞菌是人类呼吸系统的定植菌,经常与囊性纤维化患者、癌症患者和其他慢性病患者在医院获得性感染有关。这项研究的重要性在于它能够满足对这种病原体的有效预防策略的迫切需求,特别是在囊性纤维化易感人群和接受癌症治疗的人群中。在这项研究中,我们通过基因组分析、反向接种策略和免疫形式学技术,共检测了 81 株嗜麦芽糖酵母菌的完整基因组,从而设计出了针对嗜麦芽糖酵母菌的多表位疫苗。我们的研究发现了 1945 个核心蛋白编码基因及其相应的蛋白质组序列,其中 191 个基因被预测具有毒力特征。在筛选出的蛋白质中,我们选择了三个最佳抗原蛋白进行表位预测,并从 CTL、HTL 和 B 细胞中各选择了七个表位进行疫苗开发。疫苗经过改进和验证,显示出高抗原性和理想的理化特征。分子对接评估显示与 TLR-4 的结合稳定。分子动力学模拟显示了稳定的动态变化。这项研究的独创性在于采用了全面的技术,旨在设计一种直接针对嗜麦芽糖酵母菌的疫苗,这种微生物具有相当大的临床意义,但目前还没有可用的疫苗。这项研究不仅对紧迫的公共卫生危机做出了回应,而且还为后续以预防嗜麦芽糖酵母菌爆发为重点的研究工作奠定了基础。还需要小鼠模型研究的进一步证据来证实对嗜麦芽糖酵母菌的免疫保护作用。
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引用次数: 0
First report on exploration of structural features of natural compounds (NPACT database) for anti-breast cancer activity (MCF-7): QSAR-based virtual screening, molecular docking, ADMET, MD simulation, and DFT studies. 首次报告天然化合物(NPACT 数据库)抗乳腺癌活性(MCF-7)的结构特征:基于 QSAR 的虚拟筛选、分子对接、ADMET、MD 模拟和 DFT 研究。
Pub Date : 2024-10-19 eCollection Date: 2024-01-01 DOI: 10.1007/s40203-024-00266-5
Lomash Banjare, Anjali Murmu, Nilesh Kumar Pandey, Balaji Wamanrao Matore, Purusottam Banjare, Arijit Bhattacharya, Shovanlal Gayen, Jagadish Singh, Partha Pratim Roy

Due to the high toxicity, poor efficacy and resistance associated with current anti-breast cancer drugs, there's growing interest in natural products (NPs) for their potential anti-cancer properties. Computational modelling of NPs to identify key structural features can aid in developing novel natural inhibitors. In this study, we developed statistically significant QSAR models based on NPs from the NPACT database, which have shown potential anticancer activity against the MCF-7 cancer cell lines. All the developed QSAR models were statistically robust, meeting both internal (R 2  = 0.666-0.669, R 2 adj  = 0.657-0.660, Q 2 Loo  = 0.636-0.638) and external (Q 2 F n  = 0.686-0.714, CCC ext = 0.830-0.847) validation criteria. Consequently, they were utilized to virtually screen a series of NPs from the COCONUT database in the search for novel natural inhibitors. Molecular docking studies were conducted on the identified compounds against the human HER2 protein (PDB ID: 3PP0), which is a crucial target in breast cancer. Molecular docking analysis demonstrated that compounds 4608 and 2710 achieved the highest docking scores, with CDOCKER interaction energies of -72.67 kcal/mol and - 72.63 kcal/mol respectively. Compounds 4608 and 2710 were identified as the most promising candidates upon performing triplicate 100 ns MD simulation study using the CHARMM36 force field. DFT studies was performed to evaluate their stability and reactivity as potential drug molecules. This research contributes to the development of new natural inhibitors for breast cancer.

Supplementary information: The online version contains supplementary material available at 10.1007/s40203-024-00266-5.

由于目前的抗乳腺癌药物存在毒性大、疗效差和耐药性等问题,人们对天然产品(NPs)的潜在抗癌特性越来越感兴趣。对 NPs 进行计算建模以确定其关键结构特征有助于开发新型天然抑制剂。在本研究中,我们根据 NPACT 数据库中对 MCF-7 癌细胞株具有潜在抗癌活性的 NPs 建立了具有统计意义的 QSAR 模型。所有开发的 QSAR 模型在统计学上都很稳健,符合内部(R 2 = 0.666-0.669,R 2 adj = 0.657-0.660,Q 2 Loo = 0.636-0.638)和外部(Q 2 F n = 0.686-0.714,CCC ext = 0.830-0.847)验证标准。因此,我们利用它们对 COCONUT 数据库中的一系列 NPs 进行了虚拟筛选,以寻找新型天然抑制剂。针对乳腺癌的关键靶点--人类 HER2 蛋白(PDB ID:3PP0),对已鉴定化合物进行了分子对接研究。分子对接分析表明,化合物 4608 和 2710 的对接得分最高,其 CDOCKER 相互作用能量分别为 -72.67 kcal/mol 和 -72.63 kcal/mol。在使用 CHARMM36 力场进行一式三份 100 ns MD 模拟研究后,化合物 4608 和 2710 被确定为最有希望的候选化合物。DFT 研究评估了它们作为潜在药物分子的稳定性和反应性。这项研究有助于开发新的乳腺癌天然抑制剂:在线版本包含补充材料,可查阅 10.1007/s40203-024-00266-5。
{"title":"First report on exploration of structural features of natural compounds (NPACT database) for anti-breast cancer activity (MCF-7): QSAR-based virtual screening, molecular docking, ADMET, MD simulation, and DFT studies.","authors":"Lomash Banjare, Anjali Murmu, Nilesh Kumar Pandey, Balaji Wamanrao Matore, Purusottam Banjare, Arijit Bhattacharya, Shovanlal Gayen, Jagadish Singh, Partha Pratim Roy","doi":"10.1007/s40203-024-00266-5","DOIUrl":"10.1007/s40203-024-00266-5","url":null,"abstract":"<p><p>Due to the high toxicity, poor efficacy and resistance associated with current anti-breast cancer drugs, there's growing interest in natural products (NPs) for their potential anti-cancer properties. Computational modelling of NPs to identify key structural features can aid in developing novel natural inhibitors. In this study, we developed statistically significant QSAR models based on NPs from the NPACT database, which have shown potential anticancer activity against the MCF-7 cancer cell lines. All the developed QSAR models were statistically robust, meeting both internal (<i>R</i> <sup><i>2</i></sup>  = 0.666-0.669, <i>R</i> <sup><i>2</i></sup> <sub><i>adj</i></sub>  = 0.657-0.660, <i>Q</i> <sup><i>2</i></sup> <sub><i>Loo</i></sub>  = 0.636-0.638) and external (<i>Q</i> <sup><i>2</i></sup> <i>F</i> <sub><i>n</i></sub>  = 0.686-0.714, <i>CCC</i> <sub><i>ext</i></sub> = 0.830-0.847) validation criteria. Consequently, they were utilized to virtually screen a series of NPs from the COCONUT database in the search for novel natural inhibitors. Molecular docking studies were conducted on the identified compounds against the human HER2 protein (PDB ID: 3PP0), which is a crucial target in breast cancer. Molecular docking analysis demonstrated that compounds 4608 and 2710 achieved the highest docking scores, with CDOCKER interaction energies of -72.67 kcal/mol and - 72.63 kcal/mol respectively. Compounds 4608 and 2710 were identified as the most promising candidates upon performing triplicate 100 ns MD simulation study using the CHARMM36 force field. DFT studies was performed to evaluate their stability and reactivity as potential drug molecules. This research contributes to the development of new natural inhibitors for breast cancer.</p><p><strong>Supplementary information: </strong>The online version contains supplementary material available at 10.1007/s40203-024-00266-5.</p>","PeriodicalId":94038,"journal":{"name":"In silico pharmacology","volume":"12 2","pages":"92"},"PeriodicalIF":0.0,"publicationDate":"2024-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11490471/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142484158","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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In silico pharmacology
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