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13篇 您的检索式:作者名="Xiaming YUAN"
    题名 作者 年代 出处 被引量
1Novel and potent inhibitors targeting DHODH are broad-spectrum antivirals against RNA viruses including newly-emerged coronavirus SARS-CoV-2显示文摘Emerging and re-emerging RNA viruses occasionally cause epidemics and pandemics worldwide,such as the on-going outbreak of the novel coronavirus SARS-CoV-2.Herein,we identified two potent inhibitors of human DHODH,S312 and S416,with favorable drug-likeness and pharmacokinetic profiles,which all showed broad-spectrum antiviral effects against various RNA viruses,including influenza A virus,Zika virus,Ebola virus,and particularly against SARS-CoV-2.Notably,S416 is reported to be the most potent inhibitor so far with an EC5o of 17 nmol/L and an SI value of 10,505.88 in infec-ted cells.Our results are the first to validate that DHODH is an attractive host target through high antiviral efficacy in vivo and low virus replication in DHODH knock-out cells.This work demonstrates that both S312/S416 and old drugs(Leflunomide/Teriflunomide)with dual actions of antiviral and immuno-regulation may have clinical potentials to cure SARS-CoV-2 or other RNA viruses circulating worldwide,no matter such viruses are mutated or not.Rui Xiong Leike Zhang Shiliang Li Yuan Sun Minyi Ding Yong Wang Yongliang Zhao Yan Wu Weijuan Shang Xiaming Jiang Jiwei Shan Zihao Shen Yi Tong Liuxin Xu Yu Chen Yingle Liu Gang Zou Dimitri Lavillete Zhenjiang Zhao Rui Wang Lili Zhu Gengfu Xiao Ke Lan Honglin Li Ke Xu 2020Protein & Cell2020,11,10:14
2Modeling the yaw dynamics of an unmanned helicopter through modes partition method显示文摘The main difficulties in modeling yaw dynamics of a helicopter arise from the high nonlinearities,cross-couplings and dynam-ic uncertainties of these aerocraft.This paper proposes a new identification approach for yaw dynamics modeling through modes partition method(MPM) with a concentrated search space limited by implicit human factors.Working from first princi-ples and basic aerodynamics,the nonlinear equations of motion for yaw dynamics is derived.The model is linearized and transformed into a combination of dynamic modes,whose coefficients are identified from real-flight data through distributed genetic algorithm(DGA).The effectiveness of the approach is validated in terms of the identified model which can accurately capture the dynamic characters of the helicopter.Time-and frequency-domain results clearly demonstrate the potential of MPM in modeling such complex systems.WANG GuanLin XIA Hui YUAN XiaMing FAN Yong ZHU JiHong 2012Science China(Technological Sciences)2012,55,1:3
3Software Engineering in the Application of Virtual Instrument-Based Dynamics Testing System for UAV显示文摘Jing Huang Jihong Zhu Xiaming Yuan 2013通讯和计算机(中英文版)2013,10,7:2
4Design and hovering control of a twin rotor tail-sitter UAV显示文摘The tail-sitter unmanned aerial vehicles (UAVs)combine the vertical takeoff and landing (VTOL)capabilities of rotary-wing UAVs and the efficient long-distance flight capability of fixed-wing UAVs.When compared with other hybrid aircraft configurations such as tilt-rotor [1] and tilt-wing [2]UAVs, the tail-sitter UAV possesses the simplest configuration and requires no extra mechanisms for performing the VTOL maneuver. This brings several benefits including high payload and low susceptibility to malfunctions.Wufan WANG Jihong ZHU Minchi KUANG Xiaming YUAN Yunfei TANG Yaqing LAI Lyujie CHEN Yunjie YANG 2019Science China(Information Sciences)2019,62,9:1
5The effect of metal oxide decorated graphene hybrids on the improved thermal stability and the reduced smoke toxicity in epoxy resins显示文摘Xin Wang Weiyi Xing Xiaming Feng Bin Yu Lei Song Yuan Hu 2014Chemical Engineering Journal2014,,:1
6Cooperative prediction guidance law in target-attacker-defender scenario显示文摘Dear editor,The defending guidance problem for the target-attackerdefender(TAD)scenario is a challenge.The attacker(A)refers to the attacking missile,whose objective is to intercept the target aircraft(T),while the target aircraft is trying to avoid the attacker.The defender(D),namely the defensive missile,aims to intercept the attacker before a collision occurs between the attacker and the target.Heng SHI Jihong ZHU Minchi KUANG Xiaming YUAN 2021Science China(Information Sciences)2021,64,4:1
7Robust autonomous landing of UAVs in non-cooperative environments based on comprehensive terrain understanding显示文摘Autonomous landing in non-cooperative environments is a key step toward full autonomy of unmanned aerial vehicles(UAVs).Existing studies have addressed this problem by finding a flat area of the ground as the landing place.However,all these methods have poor generalization ability and ignore the semantic feature of the terrain.In this paper,we propose a well-designed binocular-LiDAR sensor system and a robust terrain understanding model to overcome these deficiencies.Our model infers both morphologic and semantic features of the ground by simultaneously performing depth completion and semantic segmentation.Moreover,during the inference phase,it self-evaluates the accuracy of the predicted depth map and dynamically selects the LiDAR accumulation time to ensure accurate depth prediction,which greatly improves the robustness of the UAV in completely unknown environments.Through extensive experiments on our collected low-altitude aerial image dataset and real UAVs,we verified that our model effectively learned two tasks simultaneously and achieved better performance than existing depth estimation-based landing methods.Furthermore,the UAV can robustly select a safe landing site in several complex environments with about 98%accuracy.Lyujie CHEN Yao XIAO Xiaming YUAN Yiding ZHANG Jihong ZHU 2022Science China(Information Sciences)2022,65,11:0
8Correction to:Novel and potent inhibitors targeting DHODH are broad-spectrum antivirals against RNA viruses including newly-emerged coronavirus SARS-CoV-2显示文摘CORRECTION TO:PROTEIN CELL 2020,11(10):723–739 http://gffzzd3cc09b8251d45dfob9pvu5n6x5b56bxk.ffgz.tsg.suse.edu.cn/10.1007/S13238-020-00768-W In the original publication the author’s name‘Dimitri Lavillete’is published incorrectly.The correct author name should be spelt as‘Dimitri Lavillette’is provided in this correction.OPEN ACCESS This article is licensed under a Creative Commons Attribution 4.0 International License,which permits use,sharing,adaptation,distribution and reproduction in any medium or format,as long as you give appropriate credit to the original author(s)and the source,provide a link to the Creative Commons licence,and indicate if changes were made.The images or other third party material in this article are included in the article's Creative Commons licence,unless indicated otherwise in a credit line to the material.If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use,you will need to obtain permission directly from the copyright holder.To view a copy of this licence,visit http://gffzzeb6f7f563f66445dhb9pvu5n6x5b56bxk.ffgz.tsg.suse.edu.cn/licenses/by/4.0/.Rui Xiong Leike Zhang Shiliang Li Yuan Sun Minyi Ding Yong Wang Yongliang Zhao Yan Wu Weijuan Shang Xiaming Jiang Jiwei Shan Zihao Shen Yi Tong Liuxin Xu Yu Chen Yingle Liu Gang Zou Dimitri Lavillette Zhenjiang Zhao Rui Wang Lili Zhu Gengfu Xiao Ke Lan Honglin Li Ke Xu 2022Protein & Cell2022,13,10:0
9Correction to: Novel and potent inhibitors targeting DHODH are broad-spectrum antivirals against RNA viruses including newly-emerged coronavirus SARS-CoV-2显示文摘Figure 1.Discovery of novel and potent DHODHi and their anti-influenza A virus activities.(A)The discovery and design of S312 and S416.The detailed descriptions of the discovery workflow are in Method.Binding analysis of S312(B)and S416(C).Thermodynamic analysis of the binding of S312 and S416 to DHODH was carried out at 25 C on a MicroCal iTC200 instrument.Kinetic analysis of the binding of S312 and S416 to DHODH was performed with a Biacore T200 instrument.Rui Xiong Leike Zhang Shiliang Li Yuan Sun Minyi Ding Yong Wang Yongliang Zhao Yan Wu Weijuan Shang Xiaming Jiang Jiwei Shan Zihao Shen Yi Tong Liuxin Xu Yu Chen Yingle Liu Gang Zou Dimitri Lavillete Zhenjiang Zhao Rui Wang Lili Zhu Gengfu Xiao Ke Lan Honglin Li Ke Xu 2021Protein & Cell2021,12,1:0
10Comparative Antiviral Efficacy of Viral Protease Inhibitors against the Novel SARS-CoV-2 In Vitro显示文摘The recent outbreak of novel coronavirus pneumonia(COVID-19)caused by a new coronavirus has posed a great threat to public health.Identifying safe and effective antivirals is of urgent demand to cure the huge number of patients.Virusencoded proteases are considered potential drug targets.The human immunodeficiency virus protease inhibitors(lopinavir/ritonavir)has been recommended in the global Solidarity Trial in March launched by World Health Organization.However,there is currently no experimental evidence to support or against its clinical use.We evaluated the antiviral efficacy of lopinavir/ritonavir along with other two viral protease inhibitors in vitro,and discussed the possible inhibitory mechanism in silico.The in vitro to in vivo extrapolation was carried out to assess whether lopinavir/ritonavir could be effective in clinical.Among the four tested compounds,lopinavir showed the best inhibitory effect against the novel coronavirus infection.However,further in vitro to in vivo extrapolation of pharmacokinetics suggested that lopinavir/ritonavir could not reach effective concentration under standard dosing regimen[marketed as Kaletraò,contained lopinavir/ritonavir(200 mg/50 mg)tablets,recommended dosage is 400 mg/10 mg(2 tablets)twice daily].This research concluded that lopinavir/ritonavir should be stopped for clinical use due to the huge gap between in vitro IC50 and free plasma concentration.Nevertheless,the structure–activity relationship analysis of the four inhibitors provided further information for de novel design of future viral protease inhibitors of SARS-CoV-2.Leike Zhang Jia Liu Ruiyuan Cao Mingyue Xu Yan Wu Weijuan Shang Xi Wang Huanyu Zhang Xiaming Jiang Yuan Sun Hengrui Hu Yufeng Li Gang Zou Min Zhang Lei Zhao Wei Li Xiaojia Guo Xiaomei Zhuang Xing-Lou Yang Zheng-Li Shi Fei Deng Zhihong Hu Gengfu Xiao Manli Wang Wu Zhong 2020Virologica Sinica2020,35,6:0
11Robust transition trajectory optimization for tail-sitter UAVs considering uncertainties显示文摘Dear editor,Transition flight is a challenge for tail-sitter unmanned aerial vehicles(UAVs)[1].Several different transition trajectories have been developed based on the trajectory optimization[2].Some typical examples are the minimum time transition[3],minimum energy transition[4],minimum altitude variation transition[5,6]and so on.Yunjie YANG Xiangyang WANG Jihong ZHU Xiaming YUAN 2023Science China(Information Sciences)2023,66,6:0
12Design of optimal trajectory transition controller for thrust-vectored V/STOL aircraft显示文摘Dear editor,In recent years,vertical and/or short take-off and landing(V/STOL)aircraft have attracted much attention because they combine the efficiency of fixed-wing vehicles with the flexibility of traditional vertical take-off and landing aircraft,such as a helicopter.Thrust-vectored V/STOL is often used for fighter jets(e.g.,F-35B).However,the design of an autonomous transition controller for trust-vectored V/STOL is challenging because of the nonlinearity and strong coupling in the transition process[1].In this study,the transition process refers to transiting from hover state to wing-borne flight or vice versa.Zhiqiang CHENG Jihong ZHU Xiaming YUAN Xiangyang WANG 2021Science China(Information Sciences)2021,64,3:0
13Attitude control of a novel tilt-wing UAV in hovering flight显示文摘Flexibility and endurance are the continuous pursuits of unmanned aerial vehicle(UAV)research.A fixed-wing UAV with vertical takeof and landing ability is ideal because it combines the advantages of long flight durations and freedom from runways[1].Therefore,tilt-wing and tilt-rotor UAVs have been developed.The former is more suitable for long-duration flight because the propeller slip-stream is less disturbed,and a longer wingspan can be designed[2].Jihong ZHU Yunjie YANG Xiangyang WANG Xiaming YUAN Xiao YANG 2023Science China(Information Sciences)2023,66,5:0
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