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Deciphering fungal metabolon coupling tandem inverse-electrondemand Diels-Alder reaction and semipinacol rearrangement for the biosynthesis of spiro polycyclic alkaloids

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Science China Chemistry 2025年第01期 288-296页

作者： Shuai Liu Wen-Qiang Xu Ying-Tong Di Man-Cheng Tang Ding-Kang Chen ming-ming cao Yao-Wen Chang Hong-Yu Tang Chun-Mao Yuan Jun-Bo Yang Zhi-Li Zuo Han Guo Zi-Fei Xu Ying Zeng Yun-Dong Wu Xiao-Jiang Hao Key Laboratory of Phytochemistry and Natural Medicines (Chinese Academy of Sciences) Kunming Institute of Botany Chinese Academy of Sciences University of Chinese Academy of Sciences Lab of Computational Chemistry and Drug Design State Key Laboratory of Chemical Oncogenomics Peking University Shenzhen Graduate School Shenzhen Bay Laboratory State Key Laboratory of Microbial Metabolism School of Life Sciences & Biotechnology Shanghai Jiao Tong University State Key Laboratory of Functions and Applications of Medicinal Plants Guizhou Medical University Molecular Biology Experimental Center Germplasm Bank of Wild Species in Southwest China Kunming Institute of Botany Chinese Academy of Sciences Yunnan Key Laboratory for Wild Plant Resources Kunming Institute of Botany Chinese Academy of Sciences Research Unit of Chemical Biology of Natural Anti-Virus Products Chinese Academy of Medical Sciences

In the intricate process of natural product biosynthesis, a metabolon can enhance metabolic flux by associating sequential enzymes. A fungal metabolon, comprising of flavin-dependent monooxygenase Spe F and P450 monooxygenase Spe G, is identified in the biosynthesis of spiro polycyclic alkaloids(+)-notoamide B and its diastereomer(+)-versicolamide B. Using notoamide E as a substance, Spe F/Spe G metabolon can control the stereoselectivity of its 2,3-epoxidation, followed by hydrogen atom ion at C-17 to generate reactive epoxide tau-m A with dienyl iminium unit. Subsequently,(+)-notoamide B and(+)-versicolamide B are produced via tandem nonenzymatic inverse-electron-demand Diels-Alder reaction and semipinacol rearrangement. This provides the first example of metabolon in the biosynthesis of spiro-prenylated indole alkaloids.

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Merging game theory and control theory in the era of AI and autonomy

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National Science Review 2020年第7期7卷 1122-1124页

作者： ming cao Faculty of Science and Engineering University of Groningen

Game theory and control theory, each powerful in its own right, can nourish each other in the focused area of intelligent and autonomous decision-making processes. In fact, the two theories enhancing each other is a m... 详细信息

关键词： Control theory

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Non-homogeneous Tb Theorem for Bi-parameter g-function

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Acta Mathematica Sinica,English Series 2018年第9期34卷 1445-1459页

作者： ming ming cao Qing Ying XUE School of Mathematical Sciences Beijing Normal University Laboratory of Mathematics and Complex Systems Ministry of Education

The main result of this paper is a bi-parameter Tb theorem for Littlewood-Paley g-function, where b is a tensor product of two pseudo-accretive function. Instead of the doubling measure, we work with a product measure μ = μn × μm, where the measures μn and μm are only assumed to be upper doubling. The main techniques of the proof include a bi-parameter b-adapted Haar function decomposition and an averaging identity over good double Whitney regions. Moreover, the non-homogeneous analysis and probabilistic methods are used again.

关键词： Bi-parameter square function probabilistic method b-adapted Haar functions

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Prediction of the Charpy V-notch impact energy of low carbon steel using a shallow neural network and deep learning

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International Journal of Minerals,Metallurgy and Materials 2021年第8期28卷 1309-1320页

作者： Si-wei Wu Jian Yang Guang-ming cao State Key Laboratory of Advanced Special Steel School of Materials Science and EngineeringShanghai UniversityShanghai 200444China State Key Laboratory of Rolling and Automation Northeastern UniversityShenyang 110819China

The impact energy prediction model of low carbon steel was investigated based on industrial data. A three-layer neural network, extreme learning machine, and deep neural network were compared with different activation functions, structure parameters, and training functions. Bayesian optimization was used to determine the optimal hyper-parameters of the deep neural network. The model with the best performance was applied to investigate the importance of process parameter variables on the impact energy of low carbon steel. The results show that the deep neural network obtains better prediction results than those of a shallow neural network because of the multiple hidden layers improving the learning ability of the model. Among the models, the Bayesian optimization deep neural network achieves the highest correlation coefficient of 0.9536, the lowest mean absolute relative error of 0.0843, and the lowest root mean square error of 17.34 J for predicting the impact energy of low carbon steel. Among the variables, the main factors affecting the impact energy of low carbon steel with a final thickness of7.5 mm are the thickness of the original slab, the thickness of intermediate slab, and the rough rolling exit temperature from the specific hot rolling production line.

关键词： prediction shallow neural network deep neural network impact energy low carbon steel

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Visual Object Tracking and Servoing Control of a Nano-Scale Quadrotor:System,Algorithms,and Experiments

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IEEE/CAA Journal of Automatica Sinica 2021年第2期8卷 344-360页

作者： Yuzhen Liu Ziyang Meng Yao Zou ming cao the Department of Precision Instrument Tsinghua UniversityBeijing 100084China the School of Automation and Electrical Engineering University of Science and Technology BeijingBeijing 10083China the Institute of Engineering and Technology University of GroningenGroningen 9747AGThe Netherlands

There are two main trends in the development of unmanned aerial vehicle(UAV)technologies:miniaturization and intellectualization,in which realizing object tracking capabilities for a nano-scale UAV is one of the most challenging *** this paper,we present a visual object tracking and servoing control system utilizing a tailor-made 38 g nano-scale quadrotor.A lightweight visual module is integrated to enable object tracking capabilities,and a micro positioning deck is mounted to provide accurate pose *** order to be robust against object appearance variations,a novel object tracking algorithm,denoted by RMCTer,is proposed,which integrates a powerful short-term tracking module and an efficient long-term processing *** particular,the long-term processing module can provide additional object information and modify the short-term tracking model in a timely ***,a positionbased visual servoing control method is proposed for the quadrotor,where an adaptive tracking controller is designed by leveraging backstepping and adaptive *** and accurate object tracking is achieved even under *** results are presented to demonstrate the high accuracy and stability of the whole tracking system.

关键词： Nano-scale quadrotor nonlinear control positionbased visual servoing visual object tracking

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A New Delaunay Triangulation Algorithm Based on Constrained Maximum Circumscribed Circle

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Wuhan University Journal of Natural Sciences 2015年第4期20卷 313-317页

作者： cao ming China Ship Development and Design Center

Delaunay triangulation is gradually playing an important role in the field of finite element analysis, image recognition, and medical *** the quality and partition efficiency, a new Delaunay triangulation method based on constrained maximum circumscribed circle is proposed. First, according to two important criteria, the empty circle features and the maximized minimum angle characteristics, we established constrained conditions. Then, we iterated the container vertices, structure triangular face linked lists, and finally got the Delaunay data. The experimental results showed that the efficiency of the improved triangulation dissection method increased by 9.47% compared with traditional triangulation algorithms in irregular triangle vertex data.

关键词： constrained maximum circumcircle empty circle features maximize minimum angle characteristics

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FOURIER-CHEBYSHEV PSEUDOSPECTRAL METHOD FOR THREE-DIMENSIONAL VORTICITY EQUATION

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Journal of Computational Mathematics 1998年第5期16卷 417-436页

作者： Li, Jian Guo, Ben-yu cao, Wei-ming Chinese Acad Sci ICMSEC State Key Lab Sci & Engn Comp Beijing 100080 Peoples R China Shanghai Univ Dept Math Shanghai 201800 Peoples R China

In this paper, a Fourier-Chebyshev pseudospectral scheme with mixed filtering is proposed for three-dimensional vorticity equation. The generalized stability and convergence are proved. The numerical results show the ... 详细信息

关键词： Pseudospectral method vorticity equation error estimates

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Transitivity of varietal hypercube networks

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Frontiers of Mathematics in China 2014年第6期9卷 1401-1410页

作者： Li XIAO Jin cao Jun-ming XU School of Mathematical Sciences University of Science and Technology of ChinaWentsun Wu Key Laboratory of CAS Hefei 230026 China

The varietal hypercube VQn is a variant of the hypercube Qn and has better properties than Qn with the same number of edges and vertices. This paper proves that VQn is vertex-transitive. This property shows that when VQn is used to model an interconnection network, it is high symmetrical and obviously superior to other variants of the hypercube such as the crossed cube.

关键词： Combinatorics graph transitivity varietal hypercube network

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MALDI ToF Investigation of the Reaction of Soy Protein Isolate with Glutaraldehyde for Wood Adhesives

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Journal of Renewable Materials 2023年第3期11卷 1439-1450页

作者： Qianyu Zhang Antonio Pizzi Hong Lei Xuedong Xi ming cao Long cao Yunnan key Laboratory of Wood Adhesives and Glue Products College of Material Science and EngineeringSouthwest Forestry UniversityKunming650224China International Joint Research Center for Biomass Materials Southwest Forestry UniversityKunming650224China Universitéde Lorraine LERMAB-ENSTIB 27 rue Philippe SeguinEpinal88000France

Soy protein adhesives are currently a hot research topic in the wood panels industry for the abundant raw material reserves,reasonable price and outstanding environmental *** their poor water resistance,low bonding strength and intolerance to mold are major drawbacks,so that proper modification before use is *** is one of the more apt cross-linking agents for soybean protein adhesives,which can effectively improve the bonding strength and water resistance of the ***,glutaraldehyde is also an efficient and broad-spectrum fungicide that can significantly improve the anti-fungal properties of a soy protein *** the work presented here,matrix assisted laser desorption ionization(MALDI-ToF)mass spectrometry and Fourier transform infrared spectroscopy techniques were used to analyze the reaction mechanism of glutaraldehyde cross-linking soybean *** results confirmed the reaction of the aldehyde group with amino groups of the side chains and the amide groups of the peptide linkages constituting the skeletal chain of the *** laboratory plywood and particleboard bonded with glutaraldehyde-soy bean protein adhesives were prepared to determine the adhesive bonding properties,the dry strength,24 h cold water soaking wet strength and 3 h hot water(63°C)wet strength of plywood were 2.03,1.13 and 0.75 MPa,respectively,which satisfied the requirements of industrial production.

关键词： Bio-based adhesives soy bean protein MALDI-ToF particleboard plywood

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Scheme for Realizing Probabilistic Teleportation of Bipartite Atomic State via Cavity QED

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Communications in Theoretical Physics 2006年第4期45卷 621-624页

作者： DONG Ping YANG ming cao Zhuo-Liang School of Physics ＆ Material Science Anhui University Hefei 230039 China

We present a physical scheme for realizing probabilistic teleportation of bipartite atomic states via cavity QED. This scheme requires only a nonmaximally entangled pair used as quantum channel, so we reduce the requi... 详细信息

关键词： bipartite atomic state teleportation nonmaximally entangled state cavity QED

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