Protein–Protein Interaction Prediction for Targeted Protein Degradation

Protein–protein interactions (PPIs) play a fundamental role in various biological functions; thus, detecting PPI sites is essential for understanding diseases and developing new drugs. PPI prediction is of particular relevance for the development of drugs employing targeted protein degradation, as their efficacy relies on the formation of a stable ternary complex involving two proteins. However, experimental methods to detect PPI sites are both costly and time-intensive. In recent years, machine learning-based methods have been developed as screening tools. While they are computationally more efficient than traditional docking methods and thus allow rapid execution, these tools have so far primarily been based on sequence information, and they are therefore limited in their ability to address spatial requirements. In addition, they have to date not been applied to targeted protein degradation. Here, we present a new deep learning architecture based on the concept of graph representation learning that can predict interaction sites and interactions of proteins based on their surface representations. We demonstrate that our model reaches state-of-the-art performance using AUROC scores on the established MaSIF dataset. We furthermore introduce a new dataset with more diverse protein interactions and show that our model generalizes well to this new data. These generalization capabilities allow our model to predict the PPIs relevant for targeted protein degradation, which we show by demonstrating the high accuracy of our model for PPI prediction on the available ternary complex data. Our results suggest that PPI prediction models can be a valuable tool for screening protein pairs while developing new drugs for targeted protein degradation.     

SOM人工神经网络与阻抗谱方法结合研究涂层的失效过程

    分析了干湿循环条件下有机涂层的电化学阻抗谱特征后选取了阻抗变化率参数作为一维自组织特征映射(self-organizing feature map,SOM)神经网络的训练样本,每个样本对输出层神经元都会产生一定的激发水平,根据该神经网络的特性,输出神经元激发水平的变化趋势便可以反映涂层的降解过程.结合涂层阻抗谱的变化特征,可以把干湿循环条件下涂层的失效过程分为三个阶段,即介质渗入涂层过程,介质到达金属表面诱发金属腐蚀过程和腐蚀扩展涂层剥离过程.     

Ubiquitin Ligases in Longevity and Aging Skeletal Muscle

The development and prevalence of diseases associated with aging presents a global health burden on society. One hallmark of aging is the loss of proteostasis which is caused in part by alterations to the ubiquitin–proteasome system (UPS) and lysosome–autophagy system leading to impaired function and maintenance of mass in tissues such as skeletal muscle. In the instance of skeletal muscle, the impairment of function occurs early in the aging process and is dependent on proteostatic mechanisms. The UPS plays a pivotal role in degradation of misfolded and aggregated proteins. For the purpose of this review, we will discuss the role of the UPS system in the context of age-related loss of muscle mass and function. We highlight the significant role that E3 ubiquitin ligases play in the turnover of key components (e.g., mitochondria and neuromuscular junction) essential to skeletal muscle function and the influence of aging. In addition, we will briefly discuss the contribution of the UPS system to lifespan. By understanding the UPS system as part of the proteostasis network in age-related diseases and disorders such as sarcopenia, new discoveries can be made and new interventions can be developed which will preserve muscle function and maintain quality of life with advancing age.     

Assessment of the Influence of the Selected Range of Visible Light Radiation on the Durability of the Gel with Ascorbic Acid and Its Derivative

(1) Background: Depending on the type of hydrophilic polymer used, different types of hydrogels may be chemically stable or may degrade and eventually disintegrate, or dissolve upon exposure to sunlight. Many over-the-counter medications are now stored with a limited control of temperature, humidity and lighting. Therefore, in this study, the photostability of a gel made of cross-linked polyacrylic acid (PA), methylcellulose (MC) and aristoflex (AV) was assessed, and the interaction between the polymers used and ascorbic acid and its ethylated derivative was investigated. (2) Methods: The samples were continuously irradiated at constant temperature for six hours. The stability of the substance incorporated into the gels was assessed using a UV-Vis spectrophotometer. FTIR-ATR infrared spectroscopy was used to measure changes during the exposure. (3) Results: Ascorbic acid completely decomposed between the first and second hours of illumination in all samples. The exception is the preparation based on polyacrylic acid with glycerol, in which the decomposition of ascorbic acid slowed down significantly. After six hours of irradiation, the ethylated ascorbic acid derivative decomposed in about 5% for the polyacrylic acid-based gels and aristoflex, and in the methylcellulose gel it decomposed to about 2%. In the case of ascorbic acid, the most stable formulation was a gel based on polyacrylic acid and polyacrylic acid with glycerol, and in the case of the ethyl derivative, a gel based on methylcellulose. (4) Conclusions: The experiment showed significant differences in the decomposition rate of both compounds, resulting from their photostability and the polymer used in the hydrogel.     

针对LSB匹配隐写的图像复原隐写分析

最低有效位(LSB)匹配隐写是目前图像隐写分析的难点和热点之一.为了提高针对LSB匹配隐写的隐写分析算法性能,将图像退化复原理论与图像隐写分析相结合,提出一种新的隐写分析算法.首先将LSB匹配隐写过程建模为加性噪声造成的图像退化过程,提出了一种专用复原滤波算法;然后将载密图像的复原图像作为载体图像的估计图像,提取载密图像与估计图像的质心特征,结合Fisher线性判决器实现隐写分析.实验结果表明,复原滤波算法可有效地复原受LSB匹配隐写噪声污染的退化图像,隐写分析算法的总体性能优于Ker方法,尤其在低嵌入率条件下表现良好,适用于空间域图像LSB匹配隐写.     

基于混合卡尔曼滤波器组的航空发动机双通道传感器故障检测

基于机载非线性模型与分段线性卡尔曼滤波器混合组成的混合卡尔曼滤波器组,结合双通道传感器的特点,建立了民用航空发动机传感器故障诊断系统;给出故障诊断原理及算法的同时,将该系统应用于民用涡扇发动机传感器常见典型故障进行了仿真;仿真结果表明,诊断系统可以在发动机发生健康蜕化后,通过只简单更新机载模型的蜕化因子,而保持线性卡尔曼滤波器的参数不变,便能准确地检测和隔离各类传感器故障而不发生误报;该更新过程可以在线自动完成,省时省力,易于工程实现。     

自适应融合层级特征的混合退化图像复原算法

多种退化类型混合的图像比单一类型的退化图像降质更严重,很难建立精确模型对其复原,研究端到端的神经网络算法是复原的关键.现有的基于操作选择注意力网络的算法(operation-wise attention network,OWAN)虽然有一定的性能提升,但是其网络过于复杂,运行较慢,复原图像缺乏高频细节,整体效果也有提升...     

圣海伦斯火山爆发对图特河北汊河床演变的影响

受1980年美国华盛顿州圣海伦斯火山爆发的影响,图特河北汊的流域特性、水沙条件和河床边界条件均发生了巨大变化,河流的调整和响应十分迅速,为研究河流受突发剧烈扰动后的河床再调整过程提供了一个很好的范例.本文选取图特河北汉上中游14个测量断面为研究对象,收集了近30年来的水文泥沙和断面资料,对河道的垂向、横向及纵向的形态调整过程进行了全面分析.结果表明,图特河北汉在火山爆发后前3年内的调整最为迅速,后期调整逐渐减缓,并向平衡状态发展,显示了河流受到扰动后调整速率逐渐衰减的重要特征,这一特点是冲积河流自动调整的反映.图特河北汉河床的调整在空间上呈现上冲下淤的特点,河流正是通过河床上冲下淤的调整方式,使得河道比降整体不断变缓,水流能量降低,上游河道冲刷减弱,进而使河流逐渐向平衡状态发展.此外,河岸崩塌展宽也是图特河北汉调整的重要方面,上游源区段和峡谷段的河岸侵蚀主要由河床持续冲刷下切导致,而宽谷段河岸的崩塌主要是由于河道的横向摆动引起.     

Degradation of polyimide induced by nitrogen laser irradiation

The degradation behavior of polyimide (PMDA-ODA) induced by nitrogen laser irradiation was studied. The changes in the surface morphology and the composition of the irradiated polyimide films were examined by scanning electron microscopy, X-ray photoelectron spectroscopy and FT-IR spectroscopy. The initial reaction was achieved by photochemical degradation of polyimide in the highly electronic excited state by the absorption of a second 337 nm photon. Atmospheric oxygen sequentially reacted with the produced radicals to form a highly oxidized layer. The formation of carbonyl group was enhanced by the heat remaining on the irradiated polyimide film surfaces.     

PVC,EPR和CSM材料辐射后热氧化降解的反应动力学分析

采用气相色谱定量测量了聚氯乙烯（ＰＶＣ）、乙丙橡胶（ＥＰＲ）和氯磺化聚乙烯（ＣＳＭ）等线缆绝缘材料经辐照后在不同温度下热老化过程中的Ｏ２消耗量。对实验数据进行了反应动力学分析,发现线缆绝缘材料的热氧化降解反应为一级反应。同时获得了不同温度下的反应常数,并与根据Ａｒｒｈｅｎｉｕｓ方程计算的理论结果进行了比较。