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1.
采用Discovery Studio2.0中的药效团模型生成方法,产生了基于化学特征的ACE抑制肽的药效团模型.所选择的认为最好的药效团模型(Hypo1)含有5个化学特征(1个阴离子中心、1个氢键受体、1个氢键给体、2个疏水中心).我们先前采用实验的方法,从蚕蛹蛋白中获得具有ACE抑制活性的六肽分子,本文结合产生的ACE抑制肽药效团模型和分子对接研究,对该六肽分子进行结构优化,以识别六肽中对ACE抑制活性起关键作用的结构部分.结果显示,药效团模型的方法可有效用于ACE抑制肽的结构优化.  相似文献   

2.
采用类蛋白反应修饰海地瓜体壁蛋白酶解物,制得修饰肽的血管紧张素转换酶(ACE)抑制活性与原酶解液的活性相比显著提高;模拟消化实验结果表明,修饰肽与胃肠蛋白酶作用后可增强其降压活性;细胞毒性实验结果表明,样品浓度在低于10 mg/mL时对犬肾细胞(MDCK)无毒性,且低浓度可以促进细胞生长.采用超滤、Sephadex G-15凝胶柱层析和RP-HPLC等分离技术纯化修饰产物,得到高活性ACE抑制肽(IC50值为3.67μmol/L),序列结构为NQNFVQYTTNT.紫外光谱分析结果表明,修饰肽与ACE结合可引起吸光度变化.用SYBYL软件对抑制肽与ACE活性位点进行模拟对接,发现该抑制肽能与ACE很好地结合.  相似文献   

3.
应用分子模拟方法研究了血管紧张素转换酶(Angiotensin-converting enzyme,ACE)C端结构域(C-domain)与两种抑制肽(RIGLF/AHEPVK)的结合机制,预测了两个体系的结合模式,提出在C-domain-RIGLF中His353,Asp377,Asp453,Phe457,His513,Tyr523和Phe527为RIGLF主要结合残基,而在C-domainAHEPVK中Gln281,His353,Ser355,Glu384,Lys511,His513和Tyr523等残基起关键作用.应用结合自由能计算比较了两个体系的结合能力,结果表明,RIGLF和AHEPVK均与C-domain活性位点残基存在较强作用,且AHEPVK对C-domain的结合能力较强,与实验结果一致.  相似文献   

4.
李金涛  李艳妮  元英进 《化学学报》2006,64(24):2491-2495
用分子对接的方法, 对利迪链菌素的抗HIV蛋白酶活性进行了研究. 为了更准确地反映利迪链菌素分子与酶蛋白结合的情况, 充分考虑受体活性部位的柔性, 采用了FlexX(初步对接)和Flexidock(精确对接)分两步将配体与受体进行对接. 在初步对接中, 设计了不同的受体活性部位来考察是否有结合水分子参与抑制剂与酶的结合. 对一种作用方式已知的非肽类HIV蛋白酶抑制剂Aha006进行的对接研究显示, 分子模拟的结果与实际情况吻合得较好, 证明了本文所采用的方法的可靠性. 利迪链菌素与蛋白酶活性部位的对接结果显示, 配体分子与受体之间的结合没有结合水分子的参与, 两者通过5对氢键作用结合成为稳定的复合物. 利迪链菌素占据结合腔, 覆盖了蛋白酶的活性三联体Asp25-Thr26-Gly27, 从而起到抑制其生物活性的作用.  相似文献   

5.
从20种天然氨基酸的41个randic molecular profiles、44个eigenvalue based indices和47个walk and path counts非零描述符分别进行主成分分析,得出一种新的氨基酸描述符——SVREW.将其应用于血管紧张素转化酶抑制三肽结构表征,应用多元线性回归(MLR)及偏最小二乘(PLS)建立定量构效关系模型,同时采用内部与外部双重验证的方法验证模型的稳定性.所建模型复相关系数(Rcum2)、留一法(LOO)交互校验相关系数(Rcv2)和外部样本校验相关系数(Qext2)分别为MLR(0.994,0.974,0.991),P LS(0.949,0.886,0.898).然后利用此多元线性回归方程设计出一系列血管紧张素转化酶抑制三肽化合物并预测了其活性,并且应用分子对接验证所设计药物的合理性.经研究表明SVREW描述符应用于ACE三肽结构表征所建模型的稳定性与预测能力均较好,有望成为多肽定量构效关系研究中一种有效的结构表征方法,并对新药物的发现和研究提供指导.  相似文献   

6.
刘静  管骁  彭剑秋 《分析测试学报》2012,31(10):1260-1265
通过对天然氨基酸的457种物化性质参数进行主成分分析后得到SVHEHS描述符,用该描述符分别对血管紧张素转化酶(ACE)抑制二肽、三肽、四肽进行表征,并建立了肽结构与活性的神经网络模型。ACE抑制二肽神经网络模型的相关系数、交叉验证相关系数、均方根误差和外部验证相关系数分别为0.946、0.951、0.249、0.852,三肽模型分别为0.973、0.945、0.135、0.813,四肽模型分别为0.915、0.879、0.250、0.814。由此表明SVHEHS描述符结合神经网络对ACE抑制肽的建模效果及模型预测能力均较理想,在此基础上进一步通过平均影响值(Mean impact value,MIV)法确定了显著影响各类肽活性的结构因素,从而为新的强活性ACE抑制肽的分子设计提供了理论基础。  相似文献   

7.
刘静  管骁  彭剑秋 《化学学报》2012,70(1):83-91
收集20种天然氨基酸的457种理化性质,按照疏水、电性特征、氢键贡献和立体特征分类后,对它们分别进行主成分分析(Principal component analysis,PCA),得到一个新的氨基酸残基结构描述符SVHEHS.用该描述符分别对血管紧张素转化酶(Angiotensin Ⅰ converting enzyme,ACE)抑制二肽、三肽、四肽进行序列表征,并用来与生物活性建立偏最小二乘(Partial least square regression,PLS)模型.ACE抑制二肽、三肽、四肽模型的相关系数、交叉验证相关系数、均方根误差、外部验证相关系数分别为0.607,0.507,0.587,0.783;0.852,0.813,0.232,0.839;1,1,0,0.935.由此说明,采用SVHEHS描述符建立的PLS模型拟合、预测能力均较好,可用于血管紧张素转化酶抑制肽的定量构效关系研究.  相似文献   

8.
蛋白酪氨酸磷酸酯酶-1B(PTP1B)是抗糖尿病治疗的重要靶点,因此创制活性优良的PTP1B抑制剂具有重要意义。 本文设计并合成了11个含1,3-硒唑和1,2,4-三唑活性组块新型结构目标分子(ZLXZ1-ZLXZ11),并利用傅里叶变换红外光谱仪(FTIR)、核磁共振波谱仪(NMR)和高分辨质谱(HRMS)等对其进行了结构表征。 首先选择ZLXZ1和ZLXZ11在MOE 2015.10程序上,与PTP1B进行分子对接模拟,结果表明,在ZLXZ1分子中硒唑环上的硒原子与PTP1B中副催化位点Tyr46、Ala217、Lys120和Asp 48分别形成了π-H作用和氢键作用。 在ZLXZ11分子中硒唑上的硒原子与PTP1B中Asp181、Arg221和Asp48形成了氢键作用。 在分子对接模拟的基础上,测试了11个目标分子的抑制活性,结果表明,所有目标分子的抑制率均在87.02%以上,其中3个目标分子PTP1B抑制活性高于阳性参照物齐墩果酸,抑制活性优良,有望成为潜在的PTP1B抑制剂。  相似文献   

9.
运用柔性分子对接和分子动力学方法,深入研究了4-(氮乙酰氨基)-5-胍基-3-(3-戊氧基)安息香酸(BA)与各类型神经氨酸酶(N1,N2,N9亚型和B型)间的作用机制.结果显示,BA与各类型神经氨酸酶结合模式存在差异,但作用机制比较相似:与它们的活性腔均匹配良好,并形成稳定的复合体系,最大结合能分别等于-1233.62,-1385.72,-663.11,-1058.87kJ·mol-1.这表明BA对各类型神经氨酸酶均有良好的抑制效果.进一步分析发现,BA与各类型神经氨酸酶活性腔内保守关键氨基酸残基发生较强的静电和氢键作用,而与易突变氨基酸残基作用较弱,表明了活性腔内易突变氨基酸残基发生突变也不会对抑制效果造成明显影响.因此,BA是一种极具应用前景的新型抗流感病毒药物.结合以前的研究结果,我们提出了以BA为底物的抗流感病毒药物的修饰方向.  相似文献   

10.
通过酶抑制动力学实验、荧光猝灭实验以及分子对接技术研究了木犀草素对酪氨酸酶活性的抑制作用。酶抑制动力学实验结果表明:木犀草素是酪氨酸酶的非竞争性抑制剂,抑制常数KI与IC50分别为86mmol/L和778.2μmol/L;荧光猝灭实验结果表明:木犀草素对酪氨酸酶产生静态荧光猝灭作用,疏水作用与氢键作用共同稳定其复合物结构,结合位点数为1;分子对接结果表明:木犀草素在酪氨酸酶疏水口袋边缘与其相互作用,相互作用力包括疏水作用力与氢键。  相似文献   

11.
Angiotensin-converting enzyme (ACE) inhibitors have been acknowledged as first-line agents for the treatment of hypertension and a variety of cardiovascular disorders. In this context, quantitative structure–activity relationship (QSAR) models for a series of non-peptide compounds as ACE inhibitors are developed based on Simplified Molecular Input-Line Entry System (SMILES) notation and local graph invariants. Three random splits into the training and test sets are used. The Monte Carlo method is applied for model development. Molecular docking studies are used for the final assessment of the developed QSAR model and the design of novel inhibitors. The statistical quality of the developed model is good. Molecular fragments responsible for the increase/decrease of the studied activity are calculated. The computer-aided design of new compounds, as potential ACE inhibitors, is presented. The predictive potential of the applied approach is tested, and the robustness of the model is proven using different methods. The results obtained from molecular docking studies are in excellent correlation with the results from QSAR studies. The presented study may be useful in the search for novel cardiovascular therapeutics based on ACE inhibition.  相似文献   

12.
邓萍  蒋君好 《化学教育》2020,41(2):81-84
基于Discovery Studio软件高质量的分子三维结构可视化功能和分子对接模拟模块,设计了卡托普利与血管紧张素转化酶的分子对接实验,让学生通过分子对接模拟过程,掌握药物分子结构特征,理解构效关系特征,认识酶抑制剂和靶蛋白的作用机制,了解药物研究新手段。  相似文献   

13.
The development and application of ACE, a program that predicts the stereochemical outcome of asymmetric reactions is presented. As major implementations, ACE includes a genetic algorithm to carry out an efficient global conformational search combined with a conjugate gradient minimization routine for local optimization and a corner flap algorithm to search ring conformations. Further improvements have been made that enable ACE to generate Boltzmann populations of conformations, to investigate highly asynchronous reactions, to compute fluctuating partial atomic charges and solvation energy and to automatically construct reactants and products from libraries of catalysts and substrates. Validation on previously investigated reactions (asymmetric Diels Alder cycloadditions and organocatalyzed aldol reactions) followed by application to a number of alkene epoxidation reactions and a comparative study of DFT-derived and ACE-derived predictions demonstrate the accuracy and usefulness of ACE in the context of asymmetric catalyst design.  相似文献   

14.
The Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) caused the “COVID-19” disease that has been declared by WHO as a global emergency. The pandemic, which emerged in China and widespread all over the world, has no specific treatment till now. The reported antiviral activities of isoflavonoids encouraged us to find out its in silico anti-SARS-CoV-2 activity. In this work, molecular docking studies were carried out to investigate the interaction of fifty-nine isoflavonoids against hACE2 and viral Mpro. Several other in silico studies including physicochemical properties, ADMET and toxicity have been preceded. The results revealed that the examined isoflavonoids bound perfectly the hACE-2 with free binding energies ranging from −24.02 to −39.33 kcal mol−1, compared to the co-crystallized ligand (−21.39 kcal mol–1). Furthermore, such compounds bound the Mpro with unique binding modes showing free binding energies ranging from −32.19 to −50.79 kcal mol–1, comparing to the co-crystallized ligand (binding energy = −62.84 kcal mol–1). Compounds 33 and 56 showed the most acceptable affinities against hACE2. Compounds 30 and 53 showed the best docking results against Mpro. In silico ADMET studies suggest that most compounds possess drug-likeness properties.  相似文献   

15.
The angiotensin-converting enzyme 2 (ACE2) has been identified as entry receptor on cells enabling binding and infection with the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) via trimeric spike (S) proteins protruding from the viral surface. It has been suggested that trimeric S proteins preferably bind to plasma membrane areas with high concentrations of possibly multimeric ACE2 receptors to achieve a higher binding and infection efficiency. Here we used direct stochastic optical reconstruction microscopy (dSTORM) in combination with different labeling approaches to visualize the distribution and quantify the expression of ACE2 on different cells. Our results reveal that endogenous ACE2 receptors are present as monomers in the plasma membrane with densities of only 1–2 receptors μm−2. In addition, binding of trimeric S proteins does not induce the formation of ACE2 oligomers in the plasma membrane. Supported by infection studies using vesicular stomatitis virus (VSV) particles bearing S proteins our data demonstrate that a single S protein interaction per virus particle with a monomeric ACE2 receptor is sufficient for infection, which provides SARS-CoV-2 a high infectivity.  相似文献   

16.
Aims: Angiotensin-converting enzyme 2 (ACE2) plays an important role in the entry of coronaviruses into host cells. The current paper described how carnosine, a naturally occurring supplement, can be an effective drug candidate for coronavirus disease (COVID-19) on the basis of molecular docking and modeling to host ACE2 cocrystallized with nCoV spike protein. Methods: First, the starting point was ACE2 inhibitors and their structure–activity relationship (SAR). Next, chemical similarity (or diversity) and PubMed searches made it possible to repurpose and assess approved or experimental drugs for COVID-19. Parallel, at all stages, the authors performed bioactivity scoring to assess potential repurposed inhibitors at ACE2. Finally, investigators performed molecular docking and modeling of the identified drug candidate to host ACE2 with nCoV spike protein. Results: Carnosine emerged as the best-known drug candidate to match ACE2 inhibitor structure. Preliminary docking was more optimal to ACE2 than the known typical angiotensin-converting enzyme 1 (ACE1) inhibitor (enalapril) and quite comparable to known or presumed ACE2 inhibitors. Viral spike protein elements binding to ACE2 were retained in the best carnosine pose in SwissDock at 1.75 Angstroms. Out of the three main areas of attachment expected to the protein–protein structure, carnosine bound with higher affinity to two compared to the known ACE2 active site. LibDock score was 92.40 for site 3, 90.88 for site 1, and inside the active site 85.49. Conclusion: Carnosine has promising inhibitory interactions with host ACE2 and nCoV spike protein and hence could offer a potential mitigating effect against the current COVID-19 pandemic.  相似文献   

17.
Crystal structures of angiotensin-converting enzyme (ACE) complexed with three inhibitors (lisinopril, captopril, enalapril) provided experimental data for testing the validity of a prior active site model predicting the bound conformation of the inhibitors. The ACE active site model - predicted over 18 years ago using a series of potent ACE inhibitors of diverse chemical structure - was recreated using published data and commercial software. Comparison between the predicted structures of the three inhibitors bound to the active site of ACE and those determined experimentally yielded root mean square deviation (RMSD) values of 0.43-0.81 A, among the distances defining the active site map. The bound conformations of the chemically relevant atoms were accurately deduced from the geometry of ligands, applying the assumption that the geometry of the active site groups responsible for binding and catalysis of amide hydrolysis was constrained. The mapping of bound inhibitors at the ACE active site was validated for known experimental compounds, so that the constrained conformational search methodology may be applied with confidence when no experimentally determined structure of the enzyme yet exists, but potent, diverse inhibitors are available.  相似文献   

18.
Precipitation and deposition of asphaltene have undesirable effects on the petroleum industry by increasing operational costs due to reduction of well productivity as well as catalyst poisoning.Herein we propose a reliable model for quantitative estimation of asphaltene precipitation.Scaling equation is the most powerful and popular model for accurate prediction of asphaltene precipitated out of solution in crudes without regard to complex nature of asphaltene.We employed a new mathematical-based approach known as alternating conditional expectation(ACE)technique for combining results of different scaling models in order to increase the accuracy of final estimation.Outputs of three well-known scaling equations,including Rassamdana(RE),Hu(HU),and Ashoori(AS),are input to ACE and the final output is produced through a nonlinear combination of scaling equations.The proposed methodology is capable of significantly increasing the precision of final estimation via a divide-andconquer principle in which ACE functions as the combiner.Results indicate the superiority of the proposed method compared with other individual scaling equation models.  相似文献   

19.
A strategy for the continuous flow synthesis of angiotensin converting enzyme (ACE) inhibitors is described. An optimization effort guided by in situ IR analysis resulted in a general amide coupling approach facilitated by N-carboxyanhydride (NCA) activation that was further characterized by reaction kinetics analysis in batch. The three-step continuous process was demonstrated by synthesizing 8 different ACE inhibitors in up to 88 % yield with throughputs in the range of ≈0.5 g h−1, all while avoiding both isolation of reactive intermediates and process intensive reaction conditions. The process was further developed by preparing enalapril, a World Health Organization (WHO) essential medicine, in an industrially relevant flow platform that scaled throughput to ≈1 g h−1.  相似文献   

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