Intrinsic Fluorescence of the Active and the Inactive Functional Forms of Human Thymidylate Synthase

The observables associated with protein intrinsic fluorescence – spectra, time decays, anisotropies – offer opportunities to monitor in real time and non-invasively a protein‘s functional form and its interchange with other forms with different functions. We employed these observables to sketch the fluorometric profiles of two functional forms of human thymidylate synthase (hTS), a homodimeric enzyme crucial for cell proliferation and thus targeted by anticancer drugs. The protein takes an active and an inactive form. Stabilization of the latter by peptides that, unlike classical hTS inhibitors, bind it at the monomer/monomer interface offers an alternative inhibition mechanism that promises to avoid the onset of drug resistance in anticancer therapy. The fluorescence features depicted herein can be used as tools to identify and quantify each of the two protein forms in solution, thus making it possible to investigate the kinetic and thermodynamic aspects of the active/inactive conformational interchange. Two examples of fluorometrically monitored interconversion kinetics are provided.     

Highly predictive support vector machine (SVM) models for anthrax toxin lethal factor (LF) inhibitors

Anthrax is a highly lethal, acute infectious disease caused by the rod-shaped, Gram-positive bacterium Bacillus anthracis. The anthrax toxin lethal factor (LF), a zinc metalloprotease secreted by the bacilli, plays a key role in anthrax pathogenesis and is chiefly responsible for anthrax-related toxemia and host death, partly via inactivation of mitogen-activated protein kinase kinase (MAPKK) enzymes and consequent disruption of key cellular signaling pathways. Antibiotics such as fluoroquinolones are capable of clearing the bacilli but have no effect on LF-mediated toxemia; LF itself therefore remains the preferred target for toxin inactivation. However, currently no LF inhibitor is available on the market as a therapeutic, partly due to the insufficiency of existing LF inhibitor scaffolds in terms of efficacy, selectivity, and toxicity. In the current work, we present novel support vector machine (SVM) models with high prediction accuracy that are designed to rapidly identify potential novel, structurally diverse LF inhibitor chemical matter from compound libraries. These SVM models were trained and validated using 508 compounds with published LF biological activity data and 847 inactive compounds deposited in the Pub Chem BioAssay database. One model, M1, demonstrated particularly favorable selectivity toward highly active compounds by correctly predicting 39 (95.12%) out of 41 nanomolar-level LF inhibitors, 46 (93.88%) out of 49 inactives, and 844 (99.65%) out of 847 Pub Chem inactives in external, unbiased test sets. These models are expected to facilitate the prediction of LF inhibitory activity for existing molecules, as well as identification of novel potential LF inhibitors from large datasets.     

Improved analysis of sinigrin in Ethiopian mustard

An ion‐pair reversed‐phase high‐performance liquid chromatography (HPLC) method was developed for the analysis of sinigrin in Ethiopian mustard (Brassica carinata A. Braun) seed and seed fractions. Separation was compared on several RP‐HPLC columns (Inertsil^® ODS‐4 C₁₈ and ZORBAX^® Eclipse XDB‐C₁₈) with an isocratic eluent containing 100% aqueous (aq.) tetramethylammonium bromide (10 mm , pH 5.0). Sinigrin retention was affected by HPLC variables including the type of ion‐pair reagent, buffer strength and pH, acetonitrile concentration, column temperature and eluent flow rate. Partial validation demonstrated this optimised chromatographic condition to be linear, accurate and precise. Multistage extraction using 70% (v/v) aq. methanol was more efficient than 50% (v/v) aq. acetonitrile. In addition, the matrix effect and recovery rate as well as processing efficiency of the analytical protocol were determined. This method is suitable for high throughput analysis of sinigrin in Ethiopian mustard seed and seed fractions.     

聚酯切粒机转速控制方案优化概述

介绍并分析了聚酯某生产线6台切粒机原转速控制方案及其缺点,重点介绍了新控制方案的设计思路及编程过程中的主要步骤及注意事项。     

影响铜铬合金在HCl溶液中脱铬腐蚀的因素

借助光学显微镜和扫描电镜研究了铜铬合金在HCl溶液中的脱铬腐蚀,并应用正交试验方法分析了变形量、溶液浓度和温度对其脱铬腐蚀的影响。结果表明:该合金的脱铬倾向随HCl溶液浓度的增大和温度的升高而增大;变形有助于合金的脱铬腐蚀,溶液浓度对合金脱铬腐蚀的影响最大;脱铬腐蚀先在Cu/Cr相界面发生,逐渐向铬相心部发展。     

捻系数和毛羽值与棉纱强力的相关性分析

通过测试得到环锭纺棉纱的捻度、毛羽值和断裂强力的数据。对数据进行回归分析，结果显示：棉纱的捻系数和毛羽值对断裂强力的影响显著；而且毛羽值与断裂强力之间的关系可以用三次项模型描述。     

大气影响带对膨胀土边坡稳定的影响及对策

以南水北调中线南阳某段膨胀土渠坡工程为依托,针对大气影响带深度对膨胀土边坡的影响及应对措施,采用GTS-NX岩土有限元数值计算软件建立有限元模型并进行边坡抗滑稳定分析。结果表明,当大气影响急剧层深度大于1.0 m后,边坡安全系数明显下降,当深度到达2.0 m,边坡接近极限平衡状态,水泥改性土换填厚度宜取2.0 m。     

电学计量检定及测量的误差原因讨论构建

电学计量检定及测量在实际的操作过程中容易受到相关存在因素的影响，可能会产生系统误差，对于各种数据的真实有效性造成了较大的影响。因此，技术人员需要对电学计量检定及测量过程中误差产生的原因进行必要地分析，找出各种误差因素，为后续工作的顺利完成奠定坚实的基础。     

信息化条件下我国资产证券化研究

资产证券化凭借其独特的交易机制，已经成为发达国家资本市场的主流融资手段，更是全球领域最重要的金融创新之一。它不但为市场机制作用的发挥奠定了基础，而且充分体现了金融市场一体化的客观要求。信息化条件下，资产证券化快速渗透到社会经济领域的各个层面，对经济运行效率能够产生深远的影响。