染料木素氨基甲酸酯类衍生物的合成及生物活性研究

基于多靶点药物设计策略,以染料木素为先导化合物,对其7-位和4’-位羟基进行修饰,合成了24个染料木素氨基甲酸酯类衍生物,其化学结构经1H NMR和HRMS确证.生物活性测试结果表明,部分化合物对乙酰胆碱酯酶具有较强抑制活性,且对H2O2诱导的PC12细胞氧化损伤具有显著保护作用.     

3-N-苄氧羰基-β-氨基丁酸糖酯的合成及生物活性

将两类具有重要生物活性的结构单元β-氨基丁酸和糖分子结合在一个分子内, 设计合成了8个新糖酯化合物. 经元素分析和1H NMR确认了其结构. 初步生物活性测定结果表明, 该类化合物具有一定的诱导活性, 且一些化合物的诱导活性比水杨酸的好.     

黄芪异黄酮类化合物抗氧化活性的密度泛函理论研究

本文采用密度泛函理论中的B3LYP方法在6-311G(d,p)水平上对黄芪中的四种异黄酮类化合物毛蕊异黄酮、毛蕊异黄酮苷、芒柄花素、芒柄花苷进行了优化计算,从四个分子的几何结构、酚羟基氢原子上的NBO电荷、酚羟基解离能、HOMO和LUMO能级以及其能级差△E(LUMO-HOMO)等方面分析了四种黄芪异黄酮类化合物清除自由基的活性.C3.位的酚羟基为毛蕊异黄酮苷元及其苷分子的最大可能活性位点,C7位酚羟基也具有一定的活性,可以增加分子本身的抗氧化活性,C7位酚羟基为芒柄花素分子的活性位点.C3,位或C7位上酚羟基氢原子带正电荷越大、酚羟基的解离能越小、△E(LUMO-HOMO)越小、HOMO能级相对越高分子的抗氧化活性越高.糖苷取代C7位酚羟基上的H原子,可以提高HOMO、LUMO的轨道能级,但是分子失去了7位酚羟基,从而降低了毛蕊异黄酮苷分子的抗氧化活性.结果表明,四种黄芪异黄酮类化合物的抗氧化能力大小为:毛蕊异黄酮＞毛蕊异黄酮苷＞芒柄花素＞＞芒柄花苷.对芒柄花素和羟基自由基反应的过渡态进行了计算研究.     

(2R，3R)-和(2S，3S)-2-(4-羟基-3-甲氧基)-3-羟甲基-1，4-苯并二氧六环-6-醛的对映选择性合成

1,4-苯并二氧六环木脂素类天然产物多数具有增加胆碱乙酰化酶和抗肝毒等活性 ,其活性主要源于 1 ,4-苯并二氧六环官能团 [1] . 1 ,4-苯并二氧六环木脂素的消旋全合成已有报道 [2 ] ,但其不对称合成还是空白[3] .我们发展了一条对映选择性合成 1 ,4-苯并二氧六环木脂素的简捷有效的路线 .基于前面的工作 [4 ] ,我们发现 1 ,4-苯并二氧六环醛类衍生物是合成此类天然产物的关键中间体 ,选择 2 - (4-羟基- 3-甲氧基 ) - 3-羟甲基 - 1 ,4-苯并二氧六环 - 6-醛 (1 )作为目标分子 ,其合成路线如下 :Reagents and conditions:( ) Me OH,H2 SO4,9…     

氮化硼纳米管气敏特性的理论研究

采用密度泛函理论计算研究了氮化硼纳米管及碳掺杂氮化硼纳米管对CH4, CO2, H2, H2O, N2, NH3, NO2, O2, F2等十余种气体小分子的气敏特性. 研究结果表明: 氮化硼纳米管对CH4, CO2, H2, H2O, N2, NH3等气体分子不敏感, 而对O2, NO2, F2等气体分子比较敏感. 虽然碳掺杂氮化硼纳米管可以明显地改变其表面的化学反应活性, 增强了气体分子与氮化硼纳米管之间的相互作用, 但是并不能明显地改变其对所研究气体分子的敏感性.     

大豆素和染料木素的光氧化自由基反应动力学

具有共轭电子结构和多酚羟基官能团的类黄酮是天然抗氧化剂,其活性位点及其自由基稳定性是影响抗氧化效能的重要因素. 我们通过时间分辨光谱并结合量化计算对比研究了大豆素和染料木素两种异黄酮的脱质子形式由光氧化引发的自由基反应动力学. 结果表明,光氧化大豆素的酚氧阴离子先产生不稳定的中间态自由基,随后通过分子内电子转移反应生成相对稳定的自由基;异黄酮染料木素的酚氧阴离子光氧化后直接生成自旋密度在整个分子骨架上离域的稳定自由基;染料木素的5位羟基起到增强4’位酚羟基抗氧化活性的作用. 这些结果解释了染料木素远高于大豆素的抗氧化活性.     

基于溶胶-凝胶技术的磷钨杂多酸化学修饰电极的组装及其电催化

将 Dawson型磷钨杂多酸盐 K6 P2 W1 8O6 2 · 1 0 H2 O( P2 W1 8)掺杂到溶胶 -凝胶中 ,滴涂在碳糊电极表面 ,制备成化学修饰电极 .并对该化学修饰电极的电化学行为 ,包括溶液 p H值的影响和电极稳定性等进行了详细的研究 .结果表明 ,此电极既保持了该杂多酸的电化学活性和电催化性能 ,又具有良好的稳定性和灵敏度 .实验发现 ,在 0 .5mol/L H2 SO4溶液中 ,掺杂在溶胶 -凝胶膜中的 P2 W1 8的第 3、第 4个还原峰对 NO- 2 离子具有很好的电催化活性 ,且催化电流同 NO- 2 浓度呈线性关系 .同时 ,P2 W1 8的第 3、第 4个还原峰对分子氧也具有很好的电催化活性 .     

Cu(Ⅰ)催化的不对称直接插炔Aldol反应构建手性2,3-联烯醇

手性联烯是一类具有丙二烯结构的轴手性化合物,不仅广泛存在于众多天然产物[1]、药理活性分子及功能材料中[2],还是有机化学中非常重要的合成砌块[3].其中,含有一个中心手性和轴手性的2,3-联烯醇结构是类胡萝卜、素类、萜类以及溴代联烯天然产物的核心片段,表现出广泛的生理活性,并且由于同时含有联烯和醇羟基官能团,也具有多样的反应化学.因此,2,3-联烯醇的不对称合成具有重要的研究意义.     

溶剂和链长对木犀草素抗氧化活性影响的理论研究

基于木犀草素的结构特点,采用量子化学的密度泛函理论(DFT)方法研究了溶剂和酯基对木犀草素抗氧化活性的影响.首先,研究了化合物中分子内氢键的性质.其次,从热力学角度通过抽氢反应(HAT)、逐步电子转移质子转移(SET-PT)和质子优先损失电子转移(SPLET)机制分析了化合物的抗氧化能力.氢键性质分析发现,木犀草素及其酯基衍生物存在分子内氢键,在所研究的环境中氢键是闭壳型相互作用,以共价作用占主导.抗氧化性研究表明,(1)HAT机理在气相和苯相中最为有利,而SPLET机理在乙醇和水相中更为有利.(2)在极性溶剂中酯基取代3′-OH基团能增强木犀草素的抗氧化活性,但链长的改变对其影响不大.(3)在所有环境中4′-OH基团主要有助于木犀草素-3′-O-酯衍生物的抗氧化活性,4′-OH和7-OH基团分别在非极性溶剂和极性溶剂中有助于木犀草素的抗氧化活性.本文的研究可为设计、开发新型的天然抗氧化剂提供理论指导.同时,在天然资源紧张、短缺的条件下,其抗氧化机理的研究和构效关系的确立,可以用于指导设计、开发、合成更稳定、应用更广泛的天然抗氧化剂,对天然产物的深加工具有指导作用.     

3-N-苄氧羰基-β-氨基丁酸水杨酸酯类化合物的合成及其生物活性

利用活性分子组合的原理,把两种具有诱导活性的水杨酸酯类化合物和D,L-β-氨基丁酸连接在一个分子内,合成了9个新化合物,所有新化合物经元素分析及1H NMR确认. 生物活性初步测定结果表明,该类化合物具有一定的诱导活性.     

Chemical biology--identification of small molecule modulators of cellular activity by natural product inspired synthesis

The aim of this tutorial review is to introduce the reader to the concept, synthesis and application of natural product-inspired compound collections as an important field in chemical biology. This review will discuss how potentially interesting scaffolds can be identified (structural classification of natural products), synthesized in an appropriate manner (including stereoselective transformations for solid phase-bound compounds) and tested in biological assays (cell-based screening as well as biochemical in vitro assays). These approaches will provide the opportunity to identify new and interesting compounds as well as new targets for chemical biology and medicinal chemistry research.     

Development of Cytodifferentiating Agents for Cancer Chemotherapy

Starting from the accidental observation that dimethylsulfoxide induces the differentiation of murine erythroleukemia cells, compounds have been designed with increasing potency in transforming this and other cancer‐cell types. The target for the most effective of the new compounds has been identified as histone deacetylase, whose natural substrate maps well onto the structures of the particularly effective compounds. Preclinical and early clinical studies suggest that the best of the compounds are promising anticancer agents without excessive toxicity.     

Electrophilic natural products and their biological targets

The study of biologically active natural products has resulted in seminal contributions to our understanding of living systems. In the case of electrophilic natural products, the covalent nature of their interaction has largely facilitated the identification of their biological binding partners. In this review, we provide a comprehensive compilation of electrophilic natural products from all major chemical classes together with their biological targets. Covering Michael acceptor systems, ring-strained compounds and other electrophiles, such as esters or carbamates, we highlight representative and instructive examples for over 20 electrophilic moieties. The fruitful cooperation of natural product chemistry, medicinal chemistry and chemical biology has produced a collection of well-studied examples for how electrophilic natural products exert their biological functions that range from antibiotic to antitumor effects. Special emphasis is put on the elucidation of their respective biological targets via activity-based protein profiling, which together with the recent advancements in mass spectrometry has been crucial to the success of the field. The wealth of naturally occurring electrophilic moieties and their chemical complexity enables binding of a large variety of biological targets, such as enzymes of all classes, nonenzymatic proteins, DNA and other cellular compounds. With approximately 30,000 genes in the human genome but only 266 confirmed protein drug targets, the study of biologically active, electrophilic natural products has the potential to provide insights into fundamental biological processes and to greatly aid the discovery of new drug targets.     

Cellular targets of natural products

Natural products have evolved, at least in part, to bind to biological macromolecules, particularly proteins. As a result, natural products are able to interact with many specific targets within the cell. Indeed for many years this has been central in the drug development process. Today, however, natural products are finding increasing use as probes to interrogate biological systems as part of chemical genomics and related research. In order to demonstrate the utility of natural products in these efforts, the biological activities of many of the major classes of natural products is discussed, according to the cellular organelle and localisation of their specific molecular targets. Emphasis is given to newly discovered compounds and activities that either provide interesting insights into a specific biological function, or that form the basis for potentially new therapeutic approaches.     

Enhancement of chemical rules for predicting compound reactivity towards protein thiol groups

Non-specific chemical modification of protein thiol groups continues to be a significant source of false positive hits from high-throughput screening campaigns and can even plague certain protein targets and chemical series well into lead optimization. While experimental tools exist to assess the risk and promiscuity associated with the chemical reactivity of existing compounds, computational tools are desired that can reliably identify substructures that are associated with chemical reactivity to aid in triage of HTS hit lists, external compound purchases, and library design. Here we describe a Bayesian classification model derived from more than 8,800 compounds that have been experimentally assessed for their potential to covalently modify protein targets. The resulting model can be implemented in the large-scale assessment of compound libraries for purchase or design. In addition, the individual substructures identified as highly reactive in the model can be used as look-up tables to guide chemists during hit-to-lead and lead optimization campaigns.     

Steine ätzen und färben: Wenn das Labor zum Atelier wird

The sciences of chemistry, geology and arts are involved in the following project: You work limestone, marble and other materials of calcium carbonate which must be soluble in acid. This chemical reaction transforms a natural stone into a relief, a vase or an ashtray if the attac of the acid is aimed at particular targets. A resistent material (plastic film, lacquer) protects the natural stone, where its surface should not be removed. The acid dissolves only the uncovered part of the stone. – Chemical reactions can also coloure a stone: dissolved compounds of copper convert calcium carbonate into green copper carbonate which can be transformed into other coloured compounds.     

Understanding false positives in reporter gene assays: in silico chemogenomics approaches to prioritize cell-based HTS data

High throughput screening (HTS) data is often noisy, containing both false positives and negatives. Thus, careful triaging and prioritization of the primary hit list can save time and money by identifying potential false positives before incurring the expense of followup. Of particular concern are cell-based reporter gene assays (RGAs) where the number of hits may be prohibitively high to be scrutinized manually for weeding out erroneous data. Based on statistical models built from chemical structures of 650 000 compounds tested in RGAs, we created "frequent hitter" models that make it possible to prioritize potential false positives. Furthermore, we followed up the frequent hitter evaluation with chemical structure based in silico target predictions to hypothesize a mechanism for the observed "off target" response. It was observed that the predicted cellular targets for the frequent hitters were known to be associated with undesirable effects such as cytotoxicity. More specifically, the most frequently predicted targets relate to apoptosis and cell differentiation, including kinases, topoisomerases, and protein phosphatases. The mechanism-based frequent hitter hypothesis was tested using 160 additional druglike compounds predicted by the model to be nonspecific actives in RGAs. This validation was successful (showing a 50% hit rate compared to a normal hit rate as low as 2%), and it demonstrates the power of computational models toward understanding complex relations between chemical structure and biological function.     

Physical properties and molecular conformations of indole alkaloids and model protein interactions--theoretical vs. experimental study

The physical properties and molecular structure of five natural indole alkaloids (IAs) and their interaction with protein targets have been studied, experimentally and theoretically. Electronic absorption (EAs) and CD spectroscopy, electrospray ionization (ESI) and matrix-assisted laser desorption/ionization (MALDI) mass spectrometry (MS), as well as imaging mass spectrometric techniques (IMS) were used, analyzing the isolated alkaloids and corresponding IAs/protein molecular complexes. Theoretical quantum chemical DFT calculations were also applied. The mechanism of their biological activity and structure-activity relationship as potential neurologically active compounds were studied, using the model interactions with 5HT2A receptors. The gas-phase stable molecular fragments of the IAs are discussed comparing the experimental mass spectrometric data and theoretical quantum chemical DFT calculations of the different molecular fragments of the IAs.     

Developing an antituberculosis compounds database and data mining in the search of a motif responsible for the activity of a diverse class of antituberculosis agents

A novel data mining procedure to look for new antitubercular agents and targets as well as to find a minimum common bioactive substructure (MCBS), has been reported here. The methodology extracts MCBS, both across the diverse chemical classes and within the particular chemical class, known to be present in the various marketed drugs alongside antimycobacterial compounds with known MICs. For this purpose a small in-house database of compounds has been created, for which MICs against Mycobacterium are known. The compounds have been collected from literature available on the synthetic compounds, having known MICs against Mycobacterium tuberculosis. An elaborate HQSAR (Hologram QSAR) study has been attempted to extract active fragment from a diverse class of compounds, in combination with the clustering technique to select a homogeneous group of compounds having good a profile toward the activity. The 2D pharmacophore (the 2D fragments extracted from HQSAR) has been validated searching the database. It has been found further that this validated 2D pharmacophore could be used for searching the orphan target in Mycobacterium effectively.