As a promising technique to enhance the spatial reso- lution of remote sensing imagery, sub-pixel mapping is processed based on the spatial dependence theory with the assumption that the land cover is spatially depend...As a promising technique to enhance the spatial reso- lution of remote sensing imagery, sub-pixel mapping is processed based on the spatial dependence theory with the assumption that the land cover is spatially dependent both within pixels and be- tween them. The spatial attraction is used as a tool to describe the dependence. First, the spatial attractions between pixels, sub- pixel/pixel spatial attraction model （SPSAM）, are described by the modified SPSAM （MSPSAM） that estimates the attractions accord- ing to the distribution of sub-pixels within neighboring pixels. Then a mixed spatial attraction model （MSAM） for sub-pixel mapping is proposed that integrates the spatial attractions both within pix- els and between them. According to the expression of the MSAM maximumising the spatial attraction, the genetic algorithm is em- ployed to search the optimum solution and generate the sub-pixel mapping results. Experiments show that compared with SPSAM, MSPSAM and pixel swapping algorithm modified by initialization from SPSAM （MPS）, MSAM can provide higher accuracy and more rational sub-pixel mapping results.展开更多
在过去的二十年里,随着IMiD和indisulam等MG降解剂的出现,分子胶(MGs)逐渐引起了制药界的关注。这些分子通过促进靶蛋白和E3连接酶之间的相互作用来降解靶蛋白。此外,MGs作为化学诱导剂,促进同源蛋白和异源蛋白的二聚化形成三元复合物,...在过去的二十年里,随着IMiD和indisulam等MG降解剂的出现,分子胶(MGs)逐渐引起了制药界的关注。这些分子通过促进靶蛋白和E3连接酶之间的相互作用来降解靶蛋白。此外,MGs作为化学诱导剂,促进同源蛋白和异源蛋白的二聚化形成三元复合物,在调节生物活性方面具有很大的前景。本文重点介绍MGs在药物开发领域的应用,包括蛋白质–蛋白质相互作用(PPI)稳定性和蛋白质降解。我们深入分析了各种MGs的结构以及MGs与各种生物活性分子之间的相互作用,从而为PPI稳定剂和新型降解剂的开发提供了新的视角。Over the past two decades, molecular glues (MGs) have gradually attracted the attention of the pharmaceutical community with the advent of MG degraders such as IMiDs and indisulam. Such molecules degrade the target protein by promoting the interaction between the target protein and E3 ligase. In addition, as a chemical inducer, MGs promote the dimerization of homologous proteins and heterologous proteins to form ternary complexes, which have great prospects in regulating biological activities. This review focuses on the application of MGs in the field of drug development including protein-protein interaction (PPI) stability and protein degradation. We thoroughly analyze the structure of various MGs and the interactions between MGs and various biologically active molecules, thus providing new perspectives for the development of PPI stabilizers and new degraders.展开更多
This paper proposes 2.5-dimensional polymer micromachined insect-mimetic wings based on a fluid-structure interaction(FSI)design concept that enables natural deformations like cambering and pitching under fluid forces...This paper proposes 2.5-dimensional polymer micromachined insect-mimetic wings based on a fluid-structure interaction(FSI)design concept that enables natural deformations like cambering and pitching under fluid forces.Instead of directly employing an analysis for the FSI,an iterative structural Design Window(DW)search is used to reduce the computational cost significantly.A DW search using the iterative method refines the initial design by addressing fabrication challenges and tuning it to meet manufacturability constraints.The successful fabrication and demonstration of the final design solution for a wing demonstrates the effectiveness of the iterative DW search based on the FSI design concept.Furthermore,a pixel model is introduced to convert an unstructured to a structured mesh for the FSI analysis to further reduce the computational cost.The camber and pitching error between the unstructured and structured meshes is minimized to achieve insect-like aerodynamic performance by adjusting the elastic moduli of center and root veins.Finally,an analysis for the FSI is conducted,based on the parameters obtained from the pixel model to evaluate the flight performance on the basis of the lift,camber,and pitching required by an actual insect to maneuver and hover.展开更多
由于PPI网络数据的无尺度和小世界特性,使得目前对此类数据的聚类算法效果不理想.根据PPI网络的拓扑结构特性,本文提出了一种基于连接强度的蚁群优化(Joint Strength based Ant Colony Optimization,JSACO)聚类算法,该算法引入了连接强...由于PPI网络数据的无尺度和小世界特性,使得目前对此类数据的聚类算法效果不理想.根据PPI网络的拓扑结构特性,本文提出了一种基于连接强度的蚁群优化(Joint Strength based Ant Colony Optimization,JSACO)聚类算法,该算法引入了连接强度的概念对蚁群聚类算法中的拾起/放下规则加以改进,以连接强度作为拾起规则,对结点进行聚类,并根据放下规则放弃部分不良数据,产生最终聚类结果.最后采用了MIPS数据库中的PPI数据进行实验,将JSACO算法与PPI网络数据的其他聚类算法进行比较,聚类结果表明JSACO算法正确率高,时间开销低.展开更多
基金supported by the National Natural Science Foundation of China (60802059)the Foundation for the Doctoral Program of Higher Education of China (200802171003)
文摘As a promising technique to enhance the spatial reso- lution of remote sensing imagery, sub-pixel mapping is processed based on the spatial dependence theory with the assumption that the land cover is spatially dependent both within pixels and be- tween them. The spatial attraction is used as a tool to describe the dependence. First, the spatial attractions between pixels, sub- pixel/pixel spatial attraction model （SPSAM）, are described by the modified SPSAM （MSPSAM） that estimates the attractions accord- ing to the distribution of sub-pixels within neighboring pixels. Then a mixed spatial attraction model （MSAM） for sub-pixel mapping is proposed that integrates the spatial attractions both within pix- els and between them. According to the expression of the MSAM maximumising the spatial attraction, the genetic algorithm is em- ployed to search the optimum solution and generate the sub-pixel mapping results. Experiments show that compared with SPSAM, MSPSAM and pixel swapping algorithm modified by initialization from SPSAM （MPS）, MSAM can provide higher accuracy and more rational sub-pixel mapping results.
文摘在过去的二十年里,随着IMiD和indisulam等MG降解剂的出现,分子胶(MGs)逐渐引起了制药界的关注。这些分子通过促进靶蛋白和E3连接酶之间的相互作用来降解靶蛋白。此外,MGs作为化学诱导剂,促进同源蛋白和异源蛋白的二聚化形成三元复合物,在调节生物活性方面具有很大的前景。本文重点介绍MGs在药物开发领域的应用,包括蛋白质–蛋白质相互作用(PPI)稳定性和蛋白质降解。我们深入分析了各种MGs的结构以及MGs与各种生物活性分子之间的相互作用,从而为PPI稳定剂和新型降解剂的开发提供了新的视角。Over the past two decades, molecular glues (MGs) have gradually attracted the attention of the pharmaceutical community with the advent of MG degraders such as IMiDs and indisulam. Such molecules degrade the target protein by promoting the interaction between the target protein and E3 ligase. In addition, as a chemical inducer, MGs promote the dimerization of homologous proteins and heterologous proteins to form ternary complexes, which have great prospects in regulating biological activities. This review focuses on the application of MGs in the field of drug development including protein-protein interaction (PPI) stability and protein degradation. We thoroughly analyze the structure of various MGs and the interactions between MGs and various biologically active molecules, thus providing new perspectives for the development of PPI stabilizers and new degraders.
基金supported by the Japan Society for the Promotion of Science KAKENHI under grant number 23H00475.
文摘This paper proposes 2.5-dimensional polymer micromachined insect-mimetic wings based on a fluid-structure interaction(FSI)design concept that enables natural deformations like cambering and pitching under fluid forces.Instead of directly employing an analysis for the FSI,an iterative structural Design Window(DW)search is used to reduce the computational cost significantly.A DW search using the iterative method refines the initial design by addressing fabrication challenges and tuning it to meet manufacturability constraints.The successful fabrication and demonstration of the final design solution for a wing demonstrates the effectiveness of the iterative DW search based on the FSI design concept.Furthermore,a pixel model is introduced to convert an unstructured to a structured mesh for the FSI analysis to further reduce the computational cost.The camber and pitching error between the unstructured and structured meshes is minimized to achieve insect-like aerodynamic performance by adjusting the elastic moduli of center and root veins.Finally,an analysis for the FSI is conducted,based on the parameters obtained from the pixel model to evaluate the flight performance on the basis of the lift,camber,and pitching required by an actual insect to maneuver and hover.
文摘由于PPI网络数据的无尺度和小世界特性,使得目前对此类数据的聚类算法效果不理想.根据PPI网络的拓扑结构特性,本文提出了一种基于连接强度的蚁群优化(Joint Strength based Ant Colony Optimization,JSACO)聚类算法,该算法引入了连接强度的概念对蚁群聚类算法中的拾起/放下规则加以改进,以连接强度作为拾起规则,对结点进行聚类,并根据放下规则放弃部分不良数据,产生最终聚类结果.最后采用了MIPS数据库中的PPI数据进行实验,将JSACO算法与PPI网络数据的其他聚类算法进行比较,聚类结果表明JSACO算法正确率高,时间开销低.
