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Research of Active Compounds from Allii Macrostemonis Bulbus and Potential Targets against Non-Hodgkin's Lymphoma Based on Network Pharmacology. 基于网络药理学的大葱有效成分及抗非霍奇金淋巴瘤潜在靶点研究。
IF 1.6 4区 医学 Q4 CHEMISTRY, MEDICINAL Pub Date : 2024-01-01 DOI: 10.2174/1573409919666230712144041
Xiuliang Qiu, QiuLing Zhao, Hongqiang Qiu, Yu Cheng, WenBin Liu, Lin Yang

Background: Non-Hodgkin's Lymphoma (NHL) is a series of lymphoid malignancies in some aggressive subtypes with unsatisfactory treatment effects. Allii Macrostemonis Bulbus (Xie Bai) is a traditional Chinese medicine with anti-cancer activities, which may potentially suppress aggressive NHL.

Objective: This study tries to discover active components and targets of Xie Bai in treating NHL by network pharmacology-based approaches.

Methods: Compounds and related targets of Xie Bai were collected from the Traditional Chinese Medicine Database and Analysis Platform. Target genes associated with NHL were searched by GeneCards and DisGeNET, then the overlapped targets were further analyzed by STRING tool, GO, and KEGG pathway enrichment analysis. Molecular docking was employed to verify the interaction between compounds and targets.

Results: 11 bioactive compounds were successfully identified, with 30 targets that were screened out for the treatment of NHL. Functional enrichment analysis suggested that Xie Bai exerted its potential effects against NHL via pathways in cancer, such as PI3K/ AKT, p53, and MAPK signaling pathways. Molecular docking results showed that 3 active compounds (quercetin, betasitosterol, and naringenin) had good affinity with selected 6 targets (TP53, AKT1, CASP3, CCND1, HPK1, and NLRP3).

Conclusion: Identifying six potential genes could accurately be docked with Xie Bai and had close interactions with NHL, which may provide insight into further research and new treatment strategy.

背景:非霍奇金淋巴瘤(NHL)是一系列具有侵袭性亚型的淋巴系统恶性肿瘤,其治疗效果不理想。大葱是一种具有抗癌活性的中药,可能对侵袭性NHL具有潜在的抑制作用。方法:从中药数据库和分析平台中提取解白的化合物及相关靶点。通过GeneCards和DisGeNET搜索与NHL相关的靶基因,然后通过STRING工具、GO和KEGG通路富集分析进一步分析重叠的靶基因。分子对接用于验证化合物与靶标之间的相互作用。结果:成功鉴定出11种生物活性化合物,筛选出30个治疗NHL的靶点。功能富集分析表明,谢白在癌症中通过PI3K/AKT、p53和MAPK信号通路发挥其对NHL的潜在作用。分子对接结果表明,3个活性化合物(槲皮素、β-谷甾醇和柚皮素)与选定的6个靶标(TP53、AKT1、CASP3、CCND1、HPK1和NLRP3)具有良好的亲和力。
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引用次数: 0
The Therapeutic Effect and Potential Pharmacological Mechanisms of Ding-Zhi-Xiao-Wan on Depression were Investigated by Meta-analysis, Network Pharmacology and Molecular Docking. 采用meta分析、网络药理学、分子对接等方法研究定栀孝丸治疗抑郁症的疗效及潜在药理机制。
IF 1.6 4区 医学 Q4 CHEMISTRY, MEDICINAL Pub Date : 2024-01-01 DOI: 10.2174/1573409919666230417103355
Li-Li Lin, Han-Biao Wu, Zhi-Kun Qiu

Introduction: Ding-Zhi-Xiao-Wan (DZXW) produces potential antidepressant-like effects. However, its antidepressant mechanisms are still unclear.

Objective: To analyze the antidepressant effects and the pharmacological mechanisms of DZXW, meta-analysis, network pharmacology, and molecular docking were selected in this study.

Methods: The compounds of DZXW and genes associated with compounds or depression were obtained from databases. The genes overlapping between DZXW compounds and depression were compared by Venn diagram. A network of medicine-ingredients-targets-disease was constructed, visualized, and analyzed. Protein-protein interaction, gene ontology, pathway enrichment, and molecular docking were performed to evaluate the potential mechanisms of DZXW for the treatment of depression.

Results: Meta-analysis showed that the antidepressant-like effects were produced by DZXW. The network pharmacology analysis showed that a total of 74 compound-related genes and 12607 PTSD-related genes were identified in the databases with 65 overlapping genes. The active ingredients derived from DZXW (i.e Beta-sitosterol, Stigmasterol, Fumarine, Hederagenin) elicited the antidepressant-like effects by targets, such as ACHE, HTR2A, and CHRM1. Moreover, the signaling pathways, like neuroactive ligand-receptor interaction, pathways in cancer, and cholinergic synapse, might play important roles in the treatment of depression by DZXW.

Conclusion: This study provides studies analysis and molecular evidence with the beneficial effects of DZXW for the treatment of depression.

丁脂消丸具有潜在的抗抑郁作用。然而,其抗抑郁机制尚不清楚。目的:采用荟萃分析、网络药理学和分子对接等方法,分析DZXW的抗抑郁作用及其药理机制。方法:从数据库中获得DZXW的化合物和与化合物或抑郁症相关的基因。用维恩图比较DZXW化合物与抑郁症的基因重叠。构建、可视化和分析了一个针对疾病的药物成分网络。通过蛋白质-蛋白质相互作用、基因本体论、途径富集和分子对接来评估DZXW治疗抑郁症的潜在机制。结果:Meta分析显示,DZXW具有抗抑郁作用。网络药理学分析显示,在数据库中共鉴定出74个化合物相关基因和12607个PTSD相关基因,其中65个基因重叠。DZXW的活性成分(即β-谷甾醇、Stigmasterol、Fumarine、Hederagenin)通过ACHE、HTR2A和CHRM1等靶点引发抗抑郁作用。此外,神经活性配体-受体相互作用、癌症通路和胆碱能突触等信号通路可能在DZXW治疗抑郁症中发挥重要作用。
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引用次数: 0
In silico Identification of Potential Inhibitors against Staphylococcus aureus Tyrosyl-tRNA Synthetase. 金黄色葡萄球菌酪氨酰-tRNA 合成酶潜在抑制剂的硅学鉴定。
IF 1.5 4区 医学 Q4 CHEMISTRY, MEDICINAL Pub Date : 2024-01-01 DOI: 10.2174/1573409919666230612120819
Kohei Monobe, Hinata Taniguchi, Shunsuke Aoki

Background: Drug-resistant Staphylococcus aureus (S. aureus) has spread from nosocomial to community-acquired infections. Novel antimicrobial drugs that are effective against resistant strains should be developed. S. aureus tyrosyl-tRNA synthetase (saTyrRS) is considered essential for bacterial survival and is an attractive target for drug screening.

Objectives: The purpose of this study was to identify potential new inhibitors of saTyrRS by screening compounds in silico and evaluating them using molecular dynamics (MD) simulations.

Methods: A 3D structural library of 154,118 compounds was screened using the DOCK and GOLD docking simulations and short-time MD simulations. The selected compounds were subjected to MD simulations of a 75-ns time frame using GROMACS.

Results: Thirty compounds were selected by hierarchical docking simulations. The binding of these compounds to saTyrRS was assessed by short-time MD simulations. Two compounds with an average value of less than 0.15 nm for the ligand RMSD were ultimately selected. The longtime (75 ns) MD simulation results demonstrated that two novel compounds bound stably to saTyrRS in silico.

Conclusion: Two novel potential saTyrRS inhibitors with different skeletons were identified by in silico drug screening using MD simulations. The in vitro validation of the inhibitory effect of these compounds on enzyme activity and their antibacterial effect on drug-resistant S. aureus would be useful for developing novel antibiotics.

背景:耐药性金黄色葡萄球菌(S. aureus)已从医院感染蔓延到社区获得性感染。应开发出对耐药菌株有效的新型抗菌药物。金黄色葡萄球菌的酪氨酰-tRNA 合成酶(saTyrRS)被认为是细菌生存所必需的,也是药物筛选的一个有吸引力的靶点:本研究的目的是通过对化合物进行硅学筛选,并利用分子动力学(MD)模拟对其进行评估,从而确定 saTyrRS 的潜在新抑制剂:方法:使用 DOCK 和 GOLD 对接模拟和短时 MD 模拟筛选了一个包含 154,118 个化合物的三维结构库。利用 GROMACS 对筛选出的化合物进行了 75-ns 时限的 MD 模拟:通过分层对接模拟,选出了 30 个化合物。通过短时 MD 模拟评估了这些化合物与 saTyrRS 的结合情况。最终选择了配体 RMSD 平均值小于 0.15 nm 的两种化合物。长时(75 毫微秒)MD 模拟结果表明,两种新型化合物与 saTyrRS 的结合非常稳定:结论:通过 MD 模拟进行药物筛选,发现了两种具有不同骨架的新型 saTyrRS 潜在抑制剂。体外验证这些化合物对酶活性的抑制作用及其对耐药金黄色葡萄球菌的抗菌效果将有助于开发新型抗生素。
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引用次数: 0
Chemical Composition, In vitro and In silico Evaluation of Essential Oil from Ocimum tenuiflorum and Coriandrum sativum Linn for Lung Cancer. 欧鼠李和芫荽精油的化学成分、体外和硅学评估对肺癌的疗效
IF 1.7 4区 医学 Q4 CHEMISTRY, MEDICINAL Pub Date : 2024-01-01 DOI: 10.2174/1573409920666230831144716
Bhim Singh, Kumari Sunita Prajapati, Amit Kumar, Shivam Patel, Shashank Kumar, Vikas Jaitak

Background: Medicinal plants play an essential role in everyday life; plants highly contain therapeutic phytoconstituents commonly used to treat various diseases. This paper discusses the Chemical composition, In vitro antiproliferative activity and In silico study of essential oil extracted from Ocimum tenuiflorum (family Lamiaceae) and Coriandrum sativum (family Apiaceae).

Objective: In present study GC-MS was used to identify the chemical constituents from O. tenuiflorum and C. sativum. In vitro antiproliferative activity was performed on A549 cancer cell lines. In silico study was performed by Schrodinger's maestro software to identify chemical constituents in both plants as potential EGFR inhibitors for the treatment of lung cancer.

Methods: The essential oil was extracted by hydro distillation from aerial parts of O. tenuiflorum and C. sativum. The volatile oil sample was analyzed by (GC-MS) Gas Chromatography- Mass Spectrometry. Different chemical constituents were identified based on the retention index and compared with the NIST library. The oil samples from O. tenuiflorum and C. sativum was also evaluated for antiproliferative activity against human lung cancer A549 cell lines. In silico study was performed by Schrodinger maestro software against EGFR (PDB ID 5HG8).

Results: O. tenuiflorum essential oil contains Eugenol (42.90%), 2-β-Elemene (25.98%), β- Caryophyllene (19.12%) are the major constituents. On the other side, C. sativum contains nnonadecanol- 1 (16.37%), decanal (12.37%), dodecanal (12.27%), 2-Dodecanal (9.67%), Phytol (8.81%) as the major constituents. Both the oils have shown in vitro antiproliferative activity against human lung cancer cell lines A549 having IC50 values of 38.281 μg/ml (O. tenuiflorum) and 74.536 μg/ml (C. sativum). Molecular interactions of constituents hydro distilled from two oils was analysed by schrodinger maestro software against EGFR (PDB ID 5HG8).

Conclusion: The oil sample extracted from O. tenuiflorum showed more antiproliferative activity than C. sativum. In silico study showed that two chemical constituents, namely di-isobutyl phthalate (-7.542 kcal/mol) and dibutyl phthalate (-7.181 kcal/mol) from O. tenuiflorum and one diethyl phthalate (-7.224 kcal/mol) from C. sativum having more docking score than standard Osimertinib which indicates the effectiveness of oils for lung cancer.

背景:药用植物在日常生活中发挥着重要作用;植物中含有大量治疗性植物成分,常用于治疗各种疾病。本文讨论了从Ocimum tenuiflorum(灯心草科)和 Coriandrum sativum(芹菜科)中提取的精油的化学成分、体外抗增殖活性和 In silico 研究:本研究采用气相色谱-质谱(GC-MS)技术鉴定欧柯木(O. tenuiflorum)和芫荽(C. sativum)中的化学成分。对 A549 癌细胞系进行了体外抗增殖活性研究。利用 Schrodinger's maestro 软件进行了硅学研究,以确定这两种植物中的化学成分是治疗肺癌的潜在表皮生长因子受体抑制剂:方法:通过水蒸馏法从 O. tenuiflorum 和 C. sativum 的气生部分提取精油。挥发油样品采用气相色谱-质谱法(GC-MS)进行分析。根据保留指数鉴定了不同的化学成分,并与 NIST 库进行了比较。此外,还评估了 O. tenuiflorum 和 C. sativum 油样对人类肺癌 A549 细胞系的抗增殖活性。利用 Schrodinger maestro 软件针对表皮生长因子受体(PDB ID 5HG8)进行了硅学研究:结果:O. tenuiflorum 精油的主要成分为丁香酚(42.90%)、2-β-榄香烯(25.98%)、β-石竹烯(19.12%)。另一方面,C. sativum 的主要成分是十一醇-1(16.37%)、癸醛(12.37%)、十二醛(12.27%)、2-十二醛(9.67%)和植物醇(8.81%)。两种精油对人类肺癌细胞株 A549 都具有体外抗增殖活性,IC50 值分别为 38.281 μg/ml (O. tenuiflorum)和 74.536 μg/ml(C. sativum)。用 schrodinger maestro 软件分析了两种油中蒸馏成分与表皮生长因子受体(PDB ID 5HG8)的分子相互作用:结论:从 O. tenuiflorum 提取的油样比 C. sativum 表现出更强的抗增殖活性。硅学研究表明,两种化学成分,即来自O. tenuiflorum的邻苯二甲酸二异丁酯(-7.542 kcal/mol)和邻苯二甲酸二丁酯(-7.181 kcal/mol),以及来自C. sativum的邻苯二甲酸二乙酯(-7.224 kcal/mol)的对接得分高于标准的奥希替尼,这表明精油对肺癌有疗效。
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引用次数: 0
Molecular Mechanism and Structure-activity Relationship of the Inhibition Effect between Monoamine Oxidase and Selegiline Analogues. 单胺氧化酶与西格列汀类似物抑制作用的分子机制和结构-活性关系
IF 1.7 4区 医学 Q4 CHEMISTRY, MEDICINAL Pub Date : 2024-01-01 DOI: 10.2174/1573409919666230503143055
Chuanxi Yang, Xiaoning Wang, Chang Gao, Yunxiang Liu, Ziyi Ma, Jinqiu Zang, Haoce Wang, Lin Liu, Yonglin Liu, Haofen Sun, Weiliang Wang

Introduction: To investigate the inhibition properties and structure-activity relationship between monoamine oxidase (MAO) and selected monoamine oxidase inhibitors (MAOIs, including selegiline, rasagiline and clorgiline).

Methods: The inhibition effect and molecular mechanism between MAO and MAOIs were identified via the half maximal inhibitory concentration (IC50) and molecular docking technology.

Results: It was indicated that selegiline and rasagiline were MAO B inhibitors, but clorgiline was MAO-A inhibitor based on the selectivity index (SI) of MAOIs (0.000264, 0.0197 and 14607.143 for selegiline, rasagiline and clorgiline, respectively). The high-frequency amino acid residues of the MAOIs and MAO were Ser24, Arg51, Tyr69 and Tyr407 for MAO-A and Arg42 and Tyr435 for MAO B. The MAOIs and MAO A/B pharmacophores included the aromatic core, hydrogen bond acceptor, hydrogen bond donor-acceptor and hydrophobic core.

Conclusion: This study shows the inhibition effect and molecular mechanism between MAO and MAOIs and provides valuable findings on the design and treatment of Alzheimer's and Parkinson's diseases.

{"title":"Molecular Mechanism and Structure-activity Relationship of the Inhibition Effect between Monoamine Oxidase and Selegiline Analogues.","authors":"Chuanxi Yang, Xiaoning Wang, Chang Gao, Yunxiang Liu, Ziyi Ma, Jinqiu Zang, Haoce Wang, Lin Liu, Yonglin Liu, Haofen Sun, Weiliang Wang","doi":"10.2174/1573409919666230503143055","DOIUrl":"10.2174/1573409919666230503143055","url":null,"abstract":"<p><strong>Introduction: </strong>To investigate the inhibition properties and structure-activity relationship between monoamine oxidase (MAO) and selected monoamine oxidase inhibitors (MAOIs, including selegiline, rasagiline and clorgiline).</p><p><strong>Methods: </strong>The inhibition effect and molecular mechanism between MAO and MAOIs were identified via the half maximal inhibitory concentration (IC<sub>50</sub>) and molecular docking technology.</p><p><strong>Results: </strong>It was indicated that selegiline and rasagiline were MAO B inhibitors, but clorgiline was MAO-A inhibitor based on the selectivity index (SI) of MAOIs (0.000264, 0.0197 and 14607.143 for selegiline, rasagiline and clorgiline, respectively). The high-frequency amino acid residues of the MAOIs and MAO were Ser24, Arg51, Tyr69 and Tyr407 for MAO-A and Arg42 and Tyr435 for MAO B. The MAOIs and MAO A/B pharmacophores included the aromatic core, hydrogen bond acceptor, hydrogen bond donor-acceptor and hydrophobic core.</p><p><strong>Conclusion: </strong>This study shows the inhibition effect and molecular mechanism between MAO and MAOIs and provides valuable findings on the design and treatment of Alzheimer's and Parkinson's diseases.</p>","PeriodicalId":10886,"journal":{"name":"Current computer-aided drug design","volume":" ","pages":"474-485"},"PeriodicalIF":1.7,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9397931","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Exploring the Mechanisms of Self-made Kuiyu Pingchang Recipe for the Treatment of Ulcerative Colitis and Irritable Bowel Syndrome using a Network Pharmacology-based Approach and Molecular Docking. 利用网络药理学方法和分子对接探索自制魁玉平昌方治疗溃疡性结肠炎和肠易激综合征的机理
IF 1.7 4区 医学 Q4 CHEMISTRY, MEDICINAL Pub Date : 2024-01-01 DOI: 10.2174/1573409919666230515103224
Yong Wen, Xiaoxiang Wang, Ke Si, Ling Xu, Shuoyang Huang, Yu Zhan

Background: Ulcerative colitis (UC) and irritable bowel syndrome (IBS) are common intestinal diseases. According to the clinical experience and curative effect, the authors formulated Kuiyu Pingchang Decoction (KYPCD) comprised of Paeoniae radix alba, Aurantii Fructus, Herba euphorbiae humifusae, Lasiosphaera seu Calvatia, Angelicae sinensis radix, Panax ginseng C.A. Mey., Platycodon grandiforus and Allium azureum Ledeb.

Objective: The aim of the present study was to explore the mechanisms of KYPCD in the treatment of UC and IBS following the Traditional Chinese Medicine (TCM) theory of "Treating different diseases with the same treatment".

Methods: The chemical ingredients and targets of KYPCD were obtained using the Traditional Chinese Medicine Systems Pharmacology database and analysis platform (TCMSP). The targets of UC and IBS were extracted using the DisGeNET, GeneCards, DrugBANK, OMIM and TTD databases. The "TCM-component-target" network and the "TCM-shared target-disease" network were imaged using Cytoscape software. The protein-protein interaction (PPI) network was built using the STRING database. The DAVID platform was used to analyze the Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways. Using Autodock Tools software, the main active components of KYPCD were molecularly docked with their targets and visualized using PyMOL.

Results: A total of 46 active ingredients of KYPCD corresponding to 243 potential targets, 1,565 targets of UC and 1,062 targets of IBS, and 70 targets among active ingredients and two diseases were screened. Core targets in the PPI network included IL6, TNF, AKT1, IL1B, TP53, EGFR and VEGFA. GO and KEGG enrichment analysis demonstrated 563 biological processes, 48 cellular components, 82 molecular functions and 144 signaling pathways. KEGG enrichment results revealed that the regulated pathways were mainly related to the PI3K-AKT, MAPK, HIF-1 and IL-17 pathways. The results of molecular docking analysis indicated that the core active ingredients of KYPCD had optimal binding activity to their corresponding targets.

Conclusion: KYPCD may use IL6, TNF, AKT1, IL1B, TP53, EGFR and VEGFA as the key targets to achieve the treatment of UC and IBS through the PI3K-AKT, MAPK, HIF-1 and IL-17 pathways.

背景:溃疡性结肠炎(UC)和肠易激综合征(IBS)是常见的肠道疾病。根据临床经验和疗效,作者配制了由白芍、枳壳、玉竹、石菖蒲、当归、人参、桔梗、薤白组成的 "魁玉平昌煎":本研究的目的是根据中医 "异病同治 "的理论,探讨 KYPCD 治疗 UC 和 IBS 的机制:方法:利用中药系统药理学数据库和分析平台(TCMSP)获得KYPCD的化学成分和靶点。利用 DisGeNET、GeneCards、DrugBANK、OMIM 和 TTD 数据库提取 UC 和 IBS 的靶点。使用 Cytoscape 软件绘制了 "中医药成分-靶点 "网络和 "中医药共享靶点-疾病 "网络。蛋白质-蛋白质相互作用(PPI)网络是利用 STRING 数据库建立的。DAVID 平台用于分析基因本体(GO)和京都基因组百科全书(KEGG)通路。利用 Autodock Tools 软件,KYPCD 的主要活性成分与其靶标进行了分子对接,并利用 PyMOL 进行了可视化:结果:共筛选出 46 种 KYPCD 活性成分对应 243 个潜在靶点,其中 1,565 个是 UC 的靶点,1,062 个是 IBS 的靶点,还有 70 个靶点介于活性成分和两种疾病之间。PPI网络中的核心靶点包括IL6、TNF、AKT1、IL1B、TP53、EGFR和VEGFA。GO 和 KEGG 富集分析显示了 563 个生物过程、48 个细胞组分、82 个分子功能和 144 个信号通路。KEGG 富集结果显示,受调控的通路主要与 PI3K-AKT、MAPK、HIF-1 和 IL-17 通路有关。分子对接分析结果表明,KYPCD的核心活性成分与相应靶点具有最佳结合活性:结论:KYPCD可能以IL6、TNF、AKT1、IL1B、TP53、EGFR和VEGFA为关键靶点,通过PI3K-AKT、MAPK、HIF-1和IL-17通路实现对UC和IBS的治疗。
{"title":"Exploring the Mechanisms of Self-made Kuiyu Pingchang Recipe for the Treatment of Ulcerative Colitis and Irritable Bowel Syndrome using a Network Pharmacology-based Approach and Molecular Docking.","authors":"Yong Wen, Xiaoxiang Wang, Ke Si, Ling Xu, Shuoyang Huang, Yu Zhan","doi":"10.2174/1573409919666230515103224","DOIUrl":"10.2174/1573409919666230515103224","url":null,"abstract":"<p><strong>Background: </strong>Ulcerative colitis (UC) and irritable bowel syndrome (IBS) are common intestinal diseases. According to the clinical experience and curative effect, the authors formulated Kuiyu Pingchang Decoction (KYPCD) comprised of <i>Paeoniae radix alba, Aurantii Fructus, Herba euphorbiae humifusae, Lasiosphaera seu Calvatia, Angelicae sinensis radix, Panax ginseng</i> C.A. Mey., <i>Platycodon grandiforus and Allium azureum Ledeb</i>.</p><p><strong>Objective: </strong>The aim of the present study was to explore the mechanisms of KYPCD in the treatment of UC and IBS following the Traditional Chinese Medicine (TCM) theory of \"Treating different diseases with the same treatment\".</p><p><strong>Methods: </strong>The chemical ingredients and targets of KYPCD were obtained using the Traditional Chinese Medicine Systems Pharmacology database and analysis platform (TCMSP). The targets of UC and IBS were extracted using the DisGeNET, GeneCards, DrugBANK, OMIM and TTD databases. The \"TCM-component-target\" network and the \"TCM-shared target-disease\" network were imaged using Cytoscape software. The protein-protein interaction (PPI) network was built using the STRING database. The DAVID platform was used to analyze the Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways. Using Autodock Tools software, the main active components of KYPCD were molecularly docked with their targets and visualized using PyMOL.</p><p><strong>Results: </strong>A total of 46 active ingredients of KYPCD corresponding to 243 potential targets, 1,565 targets of UC and 1,062 targets of IBS, and 70 targets among active ingredients and two diseases were screened. Core targets in the PPI network included IL6, TNF, AKT1, IL1B, TP53, EGFR and VEGFA. GO and KEGG enrichment analysis demonstrated 563 biological processes, 48 cellular components, 82 molecular functions and 144 signaling pathways. KEGG enrichment results revealed that the regulated pathways were mainly related to the PI3K-AKT, MAPK, HIF-1 and IL-17 pathways. The results of molecular docking analysis indicated that the core active ingredients of KYPCD had optimal binding activity to their corresponding targets.</p><p><strong>Conclusion: </strong>KYPCD may use IL6, TNF, AKT1, IL1B, TP53, EGFR and VEGFA as the key targets to achieve the treatment of UC and IBS through the PI3K-AKT, MAPK, HIF-1 and IL-17 pathways.</p>","PeriodicalId":10886,"journal":{"name":"Current computer-aided drug design","volume":" ","pages":"534-550"},"PeriodicalIF":1.7,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9475016","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Computational Studies and Antimicrobial Activity of 1-(benzo[d]oxazol-2- yl)-3,5-diphenylformazan Derivatives. 1-(苯并[d]恶唑-2-基)-3,5-二苯基甲酰肼衍生物的计算研究和抗菌活性。
IF 1.5 4区 医学 Q4 CHEMISTRY, MEDICINAL Pub Date : 2024-01-01 DOI: 10.2174/1573409919666230703103135
Mazen Almehmadi, Ahad Amer Alsaiari, Mamdouh Allahyani, Abdulaziz Alsharif, Abdulelah Aljuaid, Supriyo Saha, Mohammad Asif

Background: Due to the biological importance of the benzoxazole derivatives, some 1- (benzo[d]oxazol-2-yl)-3,5-diphenyl-formazans 4a-f were synthesized and screened for in-silico studies and in-vitro antibacterial activity.

Methods: The benzo[d]oxazole-2-thiol (1) was prepared by reacting with 2-aminophenol and carbon disulfide in the presence of alcoholic potassium hydroxide. Then 2-hydrazinylbenzo[d] oxazole (2) was synthesized from the reaction of compound 1 with hydrazine hydrate in the presence of alcohol. Compound 2 was reacted with aromatic aldehydes to give Schiff base, 2-(2- benzylidene-hydrazinyl)benzo[d]oxazole derivatives 3a-f. The title compounds, formazan derivatives 4a-f, were prepared by a reaction of benzene diazonium chloride. All compounds were confirmed by their physical data, FTIR, 1H-NMR, and 13CNMR spectral data. All the prepared title compounds were screened for in-silico studies and in-vitro antibacterial activity on various microbial strains.

Results: Molecular docking against the 4URO receptor demonstrated that molecule 4c showed a maximum dock score of (-) 8.0 kcal/mol. MD simulation data reflected the stable ligand-receptor interaction. As per MM/PBSA analysis, the maximum free binding energy of (-) 58.831 kJ/mol was exhibited by 4c. DFT calculation data confirmed that most of the molecules were soft molecules with electrophilic nature.

Conclusion: The synthesized molecules were validated using molecular docking, MD simulation, MMPBSA analysis, and DFT calculation. Among all the molecules, 4c showed maximum activity. The activity profile of the synthesized molecules against tested micro-organisms was found to be 4c>4b>4a>4e>4f>4d.

背景:鉴于苯并恶唑衍生物在生物学上的重要性,本研究合成了一些 1-(苯并[d]恶唑-2-基)-3,5-二苯基甲酰肼 4a-f,并对其进行了室内研究和体外抗菌活性筛选:苯并[d]恶唑-2-硫醇(1)是由 2-氨基苯酚和二硫化碳在氢氧化钾酒精存在下反应制备的。然后,化合物 1 与水合肼在酒精存在下反应合成 2-肼基苯并[d]恶唑(2)。化合物 2 与芳香醛反应生成希夫碱、2-(2-亚苄基肼基)苯并[d]恶唑衍生物 3a-f。标题化合物,即甲状腺衍生物 4a-f 是通过苯重氮酰氯反应制备的。所有化合物的物理数据、傅立叶变换红外光谱、1H-NMR 和 13CNMR 光谱数据均得到证实。对所有制备的标题化合物进行了体内研究和体外抗菌活性筛选:结果:与 4URO 受体的分子对接表明,分子 4c 的最大对接分数为 (-) 8.0 kcal/mol。MD 模拟数据反映了配体与受体之间稳定的相互作用。根据 MM/PBSA 分析,4c 的最大自由结合能为 (-) 58.831 kJ/mol。DFT 计算数据证实,大多数分子都是具有亲电性质的软分子:利用分子对接、MD 模拟、MMPBSA 分析和 DFT 计算对合成的分子进行了验证。在所有分子中,4c 的活性最高。合成分子对测试微生物的活性曲线为 4c>4b>4a>4e>4f>4d.
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引用次数: 0
Research on the Regulatory Mechanism of Ginseng on the Tumor Microenvironment of Colorectal Cancer based on Network Pharmacology and Bioinformatics Validation. 基于网络药理学和生物信息学验证的人参对结直肠癌肿瘤微环境调控机制研究
IF 1.7 4区 医学 Q4 CHEMISTRY, MEDICINAL Pub Date : 2024-01-01 DOI: 10.2174/1573409919666230607103721
Tiancheng Wang, Weijie Zhang, Cancan Fang, Nan Wang, Yue Zhuang, Song Gao
<p><strong>Background: </strong>A network pharmacology study on the biological action of ginseng in the treatment of colorectal cancer (CRC) by regulating the tumor microenvironment (TME).</p><p><strong>Objectives: </strong>To investigate the potential mechanism of action of ginseng in the treatment of CRC by regulating TME.</p><p><strong>Methods: </strong>This research employed network pharmacology, molecular docking techniques, and bioinformatics validation. Firstly, the active ingredients and the corresponding targets of ginseng were retrieved using the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP), the Traditional Chinese Medicine Integrated Database (TCMID), and the Traditional Chinese Medicine Database@Taiwan (TCM Database@Taiwan). Secondly, the targets related to CRC were retrieved using Genecards, Therapeutic Target Database (TTD), and Online Mendelian Inheritance in Man (OMIM). Tertiary, the targets related to TME were derived from screening the GeneCards and National Center for Biotechnology Information (NCBI)-Gene. Then the common targets of ginseng, CRC, and TME were obtained by Venn diagram. Afterward, the Protein-protein interaction (PPI) network was constructed in the STRING 11.5 database, intersecting targets identified by PPI analysis were introduced into Cytoscape 3.8.2 software cytoHubba plugin, and the final determination of core targets was based on degree value. The OmicShare Tools platform was used to analyze the Gene Ontology (GO) enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis of the core targets. Autodock and PyMOL were used for molecular docking verification and visual data analysis of docking results. Finally, we verified the core targets by Gene Expression Profiling Interactive Analysis (GEPIA) and Human Protein Atlas (HPA) databases in bioinformatics.</p><p><strong>Results: </strong>A total of 22 active ingredients and 202 targets were identified to be closely related to the TME of CRC. PPI network mapping identified SRC, STAT3, PIK3R1, HSP90AA1, and AKT1 as possible core targets. Go enrichment analysis showed that it was mainly involved in T cell co-stimulation, lymphocyte co-stimulation, growth hormone response, protein input, and other biological processes; KEGG pathway analysis found 123 related signal pathways, including EGFR tyrosine kinase inhibitor resistance, chemokine signaling pathway, VEGF signaling pathway, ErbB signaling pathway, PD-L1 expression and PD-1 checkpoint pathway in cancer, etc. The molecular docking results showed that the main chemical components of ginseng have a stable binding activity to the core targets. The results of the GEPIA database showed that the mRNA levels of PIK3R1 were significantly lowly expressed and HSP90AA1 was significantly highly expressed in CRC tissues. Analysis of the relationship between core target mRNA levels and the pathological stage of CRC showed that the levels of SRC changed si
背景一项关于人参通过调节肿瘤微环境(TME)治疗结直肠癌(CRC)的生物作用的网络药理学研究:研究人参通过调节肿瘤微环境治疗结直肠癌的潜在作用机制:本研究采用了网络药理学、分子对接技术和生物信息学验证。首先,利用中药系统药理学数据库和分析平台(TCMSP)、中药综合数据库(TCMID)和台湾中药数据库(TCM Database@Taiwan)检索人参的有效成分和相应的靶点。其次,通过Genecards、Therapeutic Target Database (TTD)和Online Mendelian Inheritance in Man (OMIM)检索与CRC相关的靶点。第三,通过基因卡片(GeneCards)和美国国家生物技术信息中心(NCBI)-基因(National Center for Biotechnology Information, NCBI-Gene)筛选出与TME相关的靶点。然后通过维恩图得出人参、CRC和TME的共同靶点。随后,在STRING 11.5数据库中构建了蛋白质-蛋白质相互作用(PPI)网络,并将PPI分析确定的交叉靶标引入Cytoscape 3.8.2软件的cytoHubba插件,根据度值最终确定核心靶标。利用 OmicShare Tools 平台对核心靶标进行了基因本体(GO)富集分析和京都基因组百科全书(KEGG)通路分析。Autodock 和 PyMOL 用于分子对接验证和对接结果的可视化数据分析。最后,我们通过生物信息学中的基因表达谱交互分析(GEPIA)和人类蛋白质图谱(HPA)数据库对核心靶标进行了验证:结果:共发现22种活性成分和202个靶点与CRC的TME密切相关。PPI网络图将SRC、STAT3、PIK3R1、HSP90AA1和AKT1确定为可能的核心靶点。Go富集分析表明,它主要参与T细胞协同刺激、淋巴细胞协同刺激、生长激素反应、蛋白质输入等生物学过程;KEGG通路分析发现了123条相关信号通路,包括表皮生长因子受体酪氨酸激酶抑制剂耐药、趋化因子信号通路、血管内皮生长因子信号通路、ErbB信号通路、PD-L1表达和癌症中的PD-1检查点通路等。分子对接结果表明,人参的主要化学成分与核心靶点具有稳定的结合活性。GEPIA数据库的结果显示,PIK3R1的mRNA水平在CRC组织中明显低表达,而HSP90AA1则明显高表达。对核心靶标 mRNA 水平与 CRC 病理分期关系的分析表明,SRC 的水平随病理分期的变化而明显变化。HPA数据库结果显示,SRC在CRC组织中的表达水平升高,而STAT3、PIK3R1、HSP90AA1和AKT1在CRC组织中的表达水平降低:结论:人参可作用于SRC、STAT3、PIK3R1、HSP90AA1和AKT1,调节T细胞成本刺激、淋巴细胞成本刺激、生长激素反应和蛋白质输入,是调节CRC TME的分子机制。这反映了人参在调节 CRC TME 中的多靶点、多途径作用,为进一步揭示人参的药理基础、作用机制和新药设计开发提供了新思路。
{"title":"Research on the Regulatory Mechanism of Ginseng on the Tumor Microenvironment of Colorectal Cancer based on Network Pharmacology and Bioinformatics Validation.","authors":"Tiancheng Wang, Weijie Zhang, Cancan Fang, Nan Wang, Yue Zhuang, Song Gao","doi":"10.2174/1573409919666230607103721","DOIUrl":"10.2174/1573409919666230607103721","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Background: &lt;/strong&gt;A network pharmacology study on the biological action of ginseng in the treatment of colorectal cancer (CRC) by regulating the tumor microenvironment (TME).&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Objectives: &lt;/strong&gt;To investigate the potential mechanism of action of ginseng in the treatment of CRC by regulating TME.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Methods: &lt;/strong&gt;This research employed network pharmacology, molecular docking techniques, and bioinformatics validation. Firstly, the active ingredients and the corresponding targets of ginseng were retrieved using the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP), the Traditional Chinese Medicine Integrated Database (TCMID), and the Traditional Chinese Medicine Database@Taiwan (TCM Database@Taiwan). Secondly, the targets related to CRC were retrieved using Genecards, Therapeutic Target Database (TTD), and Online Mendelian Inheritance in Man (OMIM). Tertiary, the targets related to TME were derived from screening the GeneCards and National Center for Biotechnology Information (NCBI)-Gene. Then the common targets of ginseng, CRC, and TME were obtained by Venn diagram. Afterward, the Protein-protein interaction (PPI) network was constructed in the STRING 11.5 database, intersecting targets identified by PPI analysis were introduced into Cytoscape 3.8.2 software cytoHubba plugin, and the final determination of core targets was based on degree value. The OmicShare Tools platform was used to analyze the Gene Ontology (GO) enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis of the core targets. Autodock and PyMOL were used for molecular docking verification and visual data analysis of docking results. Finally, we verified the core targets by Gene Expression Profiling Interactive Analysis (GEPIA) and Human Protein Atlas (HPA) databases in bioinformatics.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;A total of 22 active ingredients and 202 targets were identified to be closely related to the TME of CRC. PPI network mapping identified SRC, STAT3, PIK3R1, HSP90AA1, and AKT1 as possible core targets. Go enrichment analysis showed that it was mainly involved in T cell co-stimulation, lymphocyte co-stimulation, growth hormone response, protein input, and other biological processes; KEGG pathway analysis found 123 related signal pathways, including EGFR tyrosine kinase inhibitor resistance, chemokine signaling pathway, VEGF signaling pathway, ErbB signaling pathway, PD-L1 expression and PD-1 checkpoint pathway in cancer, etc. The molecular docking results showed that the main chemical components of ginseng have a stable binding activity to the core targets. The results of the GEPIA database showed that the mRNA levels of PIK3R1 were significantly lowly expressed and HSP90AA1 was significantly highly expressed in CRC tissues. Analysis of the relationship between core target mRNA levels and the pathological stage of CRC showed that the levels of SRC changed si","PeriodicalId":10886,"journal":{"name":"Current computer-aided drug design","volume":" ","pages":"486-500"},"PeriodicalIF":1.7,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9583665","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Synthesis, Molecular Modeling and Biological Evaluation of Novel Trifluoromethyl Benzamides as Promising CETP Inhibitors. 新型三氟甲基苯甲酰胺作为有前途的 CETP 抑制剂的合成、分子建模和生物学评价。
IF 1.5 4区 医学 Q4 CHEMISTRY, MEDICINAL Pub Date : 2024-01-01 DOI: 10.2174/1573409919666230509123852
Reema Abu Khalaf, Amani Abusaad, Bara'a Al-Nawaiseh, Dima Sabbah, Ghadeer Albadawi

Background: Hyperlipidemia is considered a major risk factor for the progress of atherosclerosis.

Objective: Cholesteryl ester transfer protein (CETP) facilitates the relocation of cholesterol esters from HDL to LDL. CETP inhibition produces higher HDL and lower LDL levels.

Methods: Synthesis of nine benzylamino benzamides 8a-8f and 9a-9c was performed.

Results: In vitro biological study displayed potential CETP inhibitory activity, where compound 9c had the best activity with an IC50 of 1.03 μM. Induced-fit docking demonstrated that 8a-8f and 9a-9c accommodated the CETP active site and hydrophobic interaction predominated ligand/ CETP complex formation.

Conclusion: Pharmacophore mapping showed that this scaffold endorsed CETP inhibitors features and consequently elaborated the high CETP binding affinity.

背景:高脂血症被认为是动脉粥样硬化进展的主要危险因素:高脂血症被认为是动脉粥样硬化进展的主要危险因素:胆固醇酯转移蛋白(CETP)有助于胆固醇酯从高密度脂蛋白转移到低密度脂蛋白。抑制 CETP 可提高高密度脂蛋白水平,降低低密度脂蛋白水平:方法:合成了九种苄氨基苯甲酰胺 8a-8f 和 9a-9c:体外生物学研究显示了潜在的 CETP 抑制活性,其中化合物 9c 的活性最好,IC50 为 1.03 μM。诱导-拟合对接表明,8a-8f 和 9a-9c 与 CETP 活性位点相容,疏水相互作用主导配体/CETP 复合物的形成:药效图谱显示,该支架具有 CETP 抑制剂的特征,因此能产生较高的 CETP 结合亲和力。
{"title":"Synthesis, Molecular Modeling and Biological Evaluation of Novel Trifluoromethyl Benzamides as Promising CETP Inhibitors.","authors":"Reema Abu Khalaf, Amani Abusaad, Bara'a Al-Nawaiseh, Dima Sabbah, Ghadeer Albadawi","doi":"10.2174/1573409919666230509123852","DOIUrl":"10.2174/1573409919666230509123852","url":null,"abstract":"<p><strong>Background: </strong>Hyperlipidemia is considered a major risk factor for the progress of atherosclerosis.</p><p><strong>Objective: </strong>Cholesteryl ester transfer protein (CETP) facilitates the relocation of cholesterol esters from HDL to LDL. CETP inhibition produces higher HDL and lower LDL levels.</p><p><strong>Methods: </strong>Synthesis of nine benzylamino benzamides 8a-8f and 9a-9c was performed.</p><p><strong>Results: </strong><i>In vitro</i> biological study displayed potential CETP inhibitory activity, where compound 9c had the best activity with an IC<sub>50</sub> of 1.03 μM. Induced-fit docking demonstrated that 8a-8f and 9a-9c accommodated the CETP active site and hydrophobic interaction predominated ligand/ CETP complex formation.</p><p><strong>Conclusion: </strong>Pharmacophore mapping showed that this scaffold endorsed CETP inhibitors features and consequently elaborated the high CETP binding affinity.</p>","PeriodicalId":10886,"journal":{"name":"Current computer-aided drug design","volume":" ","pages":"564-574"},"PeriodicalIF":1.5,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9498295","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Unveiling the Anti-convulsant Potential of Novel Series of 1,2,4-Triazine- 6H-Indolo[2,3-b]quinoline Derivatives: In Silico Molecular Docking, ADMET, DFT, and Molecular Dynamics Exploration. 揭示新型 1,2,4-三嗪-6H-吲哚并[2,3-b]喹啉衍生物系列的抗惊厥潜力:硅学分子对接、ADMET、DFT 和分子动力学探索。
IF 1.5 4区 医学 Q4 CHEMISTRY, MEDICINAL Pub Date : 2024-01-01 DOI: 10.2174/1573409920666230817144710
Hariram Singh, Devender Pathak

Background: Epilepsy is a chronic neurological disorder caused by irregular electrical activity in the brain. To manage this disorder effectively, it is imperative to identify potential pharmacological targets and to understand the pathophysiology of epilepsy in depth.

Objective: This research aimed to identify promising leads from a library of 1,2,4-triazine-6Hindolo[ 2,3-b]quinoline derivatives and optimize them using in silico and dynamic processes.

Methods: We used computational studies to examine 1,2,4-Triazine-6H-indolo[2,3-b]quinoline derivatives. Some methods were used to strengthen the stability of binding sites, including Docking, ADMET, IFD, MMGBSA, Density Functional Theory (DFT), and Molecular Dynamics.

Results: HRSN24 and HRSN34 exhibited promising pharmacokinetic and pharmacodynamic characteristics compared to standard drugs (Carbamazepine and Phenytoin) and a co-crystal ligand (Diazepam). Both HRSN24 and HRSN34 presented notable Glide Xp docking scores (-4.528 and -4.633 Kcal/mol), IFD scores (-702.22 and -700.3 Kcal/mol), and MMGBSA scores (-45.71 and -14.46 Kcal/mol). HRSN24 was selected for molecular dynamics and DFT analysis. During MD, HRSN24 identified LYS21, GLY22, ASP24, ARG26, VAL53, MET55, and SER308 as the most important amino acid residues for hydrophobic interactions. A DFT computation was performed to determine the physicochemical properties of HRSN24, revealing a total energy of -1362.28 atomic units, a HOMO value of -0.20186, and a LUMO value of -0.01915.

Conclusion: Based on computational modelling techniques, an array of 1,2,4-triazine-6H-indolo [2,3-b]quinoline derivatives were evaluated for their anti-convulsant properties. A stable compound within the GABAA receptor was identified by HRSN24, suggesting its affinity as an anti-convulsant.

背景:癫痫是一种由大脑不规则电活动引起的慢性神经系统疾病。为了有效控制这种疾病,必须确定潜在的药理靶点并深入了解癫痫的病理生理学:本研究旨在从 1,2,4-三嗪-6-吲哚并[2,3-b]喹啉衍生物库中找出有前景的线索,并利用硅学和动态过程对其进行优化:我们利用计算研究来研究 1,2,4-三嗪-6H-吲哚并[2,3-b]喹啉衍生物。我们使用了一些方法来加强结合位点的稳定性,包括对接、ADMET、IFD、MMGBSA、密度泛函理论(DFT)和分子动力学:与标准药物(卡马西平和苯妥英)和共晶体配体(地西泮)相比,HRSN24和HRSN34表现出良好的药代动力学和药效学特征。HRSN24和HRSN34的Glide Xp对接得分(-4.528和-4.633 Kcal/mol)、IFD得分(-702.22和-700.3 Kcal/mol)和MMGBSA得分(-45.71和-14.46 Kcal/mol)均十分显著。HRSN24 被选中进行分子动力学和 DFT 分析。在 MD 过程中,HRSN24 发现 LYS21、GLY22、ASP24、ARG26、VAL53、MET55 和 SER308 是疏水相互作用最重要的氨基酸残基。通过 DFT 计算确定了 HRSN24 的理化性质,结果显示其总能量为 -1362.28 原子单位,HOMO 值为 -0.20186,LUMO 值为 -0.01915:基于计算模型技术,对一系列 1,2,4-三嗪-6H-吲哚并[2,3-b]喹啉衍生物的抗惊厥特性进行了评估。通过 HRSN24 鉴定出了 GABAA 受体内的一种稳定化合物,表明它具有抗惊厥的亲和力。
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引用次数: 0
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Current computer-aided drug design
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