基于生物质谱技术的磷酰化修饰策略在多肽测序中的应用

该文建立了一种利用磷酰化修饰结合电喷雾质谱(ESI-Q-TOF)测定多肽氨基酸序列的有效方法。利用Atherton-Todd反应,以二丙基亚磷酰酯(DPP)为磷酰化试剂,应用生物质谱技术,对磷酰化修饰后的5种模型肽的磷酰化反应情况进行了系统研究,考察了磷酰化肽的二级质谱特征,并与未经磷酰化反应的肽的二级质谱特征对比。结果表明,经过磷酰化修饰后,肽的二级质谱中的a1离子信号强度明显增加,可以准确鉴定其N端氨基酸;b系列离子信息完整,信号强度增强,使得多肽C ID测序的谱图简单、清晰,有利于肽的氨基酸序列的测定;赖氨酸(K,128.10 u)和谷氨酰胺(Q,128.13 u)两种氨基酸质荷比相近,由于二者磷酰化修饰后的差异性,使其得到准确区分。经过5种已知氨基酸序列的模型肽的磷酰化后结合质谱技术进行氨基酸序列测定验证,结果表明该方法简单、快速、准确,提高了利用质谱技术进行多肽测序的准确度和灵敏度,可为蛋白质组学研究提供有效的技术手段

基于高维空间几何信息学的遥感图像去薄云算法

遥感图像中薄云的存在为遥感图像的判读带来了极大的影响,本文针对遥感图像中的薄云雾提出了一种基于高维空间几何信息学(High-Dimensional Space Geometrical Informatics)(HDSGI)的去云的新算法.基于HDSGI理论,将一副带有薄云的遥感图像作为高维空间中的一点,通过各向同性滤波器将该高维空间点几何分解到不同尺度的两个子空间,对各个子空间的分解分量分别进行抑制、增益变换,将经过变换后的子空间分量合成得到最终所需的去云后遥感图像.采用实际卫星影像和航空影像对该算法进行实验验证,用同态滤波和小波分解算法进行同类算法比较,并采用若干客观图像评价参数评价分析处理后图像.实验结果表明,本文算法不仅能有效降低薄云覆盖及相关的噪音干扰,而且可以增强原始遥感图像边缘信息,达到去除薄云的目的

A Pair of New Enantiomeric Amides with DNA-cl eaving Function

设计合成一对新型的丝氨酸 -组胺酰胺对映体化合物 L-Ser-Hism和 D-Ser-Hism,发现它们具有明显的 DNA切割活性 ,切割反应的最佳 p H范围为 6.0～ 6.5 . L -Ser-Hism的切割活性比 D-Ser-Hism的强 .与丝组二肽相比 ,这对酰胺对映体未显示出明显的切割蛋白活性 ,表明其对 DNA的优先切割功能

Prediction of Energy Resolution in the JUNO Experiment

International audienceThis paper presents the energy resolution study in the JUNO experiment, incorporating the latest knowledge acquired during the detector construction phase. The determination of neutrino mass ordering in JUNO requires an exceptional energy resolution better than 3% at 1 MeV. To achieve this ambitious goal, significant efforts have been undertaken in the design and production of the key components of the JUNO detector. Various factors affecting the detection of inverse beta decay signals have an impact on the energy resolution, extending beyond the statistical fluctuations of the detected number of photons, such as the properties of liquid scintillator, performance of photomultiplier tubes, and the energy reconstruction algorithm. To account for these effects, a full JUNO simulation and reconstruction approach is employed. This enables the modeling of all relevant effects and the evaluation of associated inputs to accurately estimate the energy resolution. The study reveals an energy resolution of 2.95% at 1 MeV. Furthermore, the study assesses the contribution of major effects to the overall energy resolution budget. This analysis serves as a reference for interpreting future measurements of energy resolution during JUNO data taking. Moreover, it provides a guideline in comprehending the energy resolution characteristics of liquid scintillator-based detectors

Determination of the number of ψ(3686) events taken at BESIII

The number of ψ(3686) events collected by the BESIII detector during the 2021 run period is determined to be (2259.3±11.1)×106 by counting inclusive ψ(3686) hadronic events. The uncertainty is systematic and the statistical uncertainty is negligible. Meanwhile, the numbers of ψ(3686) events collected during the 2009 and 2012 run periods are updated to be (107.7±0.6)×106 and (345.4±2.6)×106, respectively. Both numbers are consistent with the previous measurements within one standard deviation. The total number of ψ(3686) events in the three data samples is (2712.4±14.3)×10^