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Generation and characterization of nanobodies targeting GPCR

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Biophysics Reports 2024年第1期10卷 22-30页

作者： Shenglan zhang zhiran Fan Jianfeng Liu Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory) Cellular Signaling laboratory International Research Center for Sensory Biology and Technology of MOST Key Laboratory of Molecular Biophysics of MOE College of Life Science and Technology Huazhong University of Science and Technology

G protein-coupled receptors(GPCRs) are a large family of cell membrane proteins that are important targets for drug discovery. Nanobodies, also known as VHH(variable domains of heavy chain-only antibodies, HcAbs) antibodies, are small antibody fragments derived from camelids that have gained significant attention as potential therapeutics for targeting GPCRs due to their advantages over conventional antibodies. However, there are challenges in developing nanobodies targeting GPCRs, among which epitope accessibility is the most significant because the cell membrane partially shields the GPCR surface. We developed a universal protocol for making nanobodies targeting GPCRs using the cell membrane extract of GPCR-overexpressing HEK293 cells as the llama/alpaca immunization antigen. We constructed an immune VHH library and identified nanobodies by phage display bio-panning. The monoclonal nanobodies were recombinantly expressed in Escherichia coli(E. coli) and purified to characterize their binding potency.

关键词： Nanobody Single domain antibody Heavy chain-only antibody GPCR G protein-coupled receptor

位置社交网络中用户签到特征分析及推荐方法研究

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测绘学报 2023年第6期52卷 1039-1039页

作者：张志然西安石油大学地球科学与工程学院陕西西安710065 自然资源部国土空间规划监测评估预警重点实验室重庆401147

近年来,用户对智能化、个性化的位置服务的需求促进了服务模式和各类基于位置的社交网络软件应用的多样化,促使了位置推荐系统研究的目标及内容等方面发生转变,越来越多的关于位置推荐算法和应用的研究应运而生,旨在解决信息过载问题,... 详细信息

近年来,用户对智能化、个性化的位置服务的需求促进了服务模式和各类基于位置的社交网络软件应用的多样化,促使了位置推荐系统研究的目标及内容等方面发生转变,越来越多的关于位置推荐算法和应用的研究应运而生,旨在解决信息过载问题,提高推荐精度,满足用户个性化、智能化的服务需求。虽然位置推荐在理论和实践上都得到了发展,但是由于缺乏复杂上下文环境下的用户行为的深度挖掘。

关键词：上下文环境位置服务信息过载软件应用用户个性化用户行为推荐算法需求促进

A spatiotemporal data collection of viral cases for COVID-19 rapid response

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Big Earth Data 2021年第1期5卷 90-111页

作者： Dexuan Sha Yi Liu Qian Liu Yun Li Yifei Tian Fayez Beaini Cheng Zhong Tao Hu Zifu Wang Hai Lan You Zhou zhiran zhang Chaowei Yang NSF Spatiotemporal Innovation Center George Mason UniversityFairfaxVAUSA Department of Geography and GeoInformation Science George Mason UniversityFairfaxVAUSA Department of Aerospace and Mechanical Engineering University of Notre DameNotre DameINUSA Center for Geographic Analysis Harvard UniversityCambridgeMAUSA School of Resource and Environmental Sciences Wuhan UniversityWuhanHubeiChina

Under the global health crisis of COVID-19,timely,and accurate epi-demic data are important for observation,monitoring,analyzing,modeling,predicting,and mitigating *** case data can be jointly analyzed with relevant factors for various applications in the context of the *** COVID-19 case data are scattered across a variety of data sources which may consist of low data quality accompanied by inconsistent data *** address this short-coming,a multi-scale spatiotemporal data product is proposed as a public repository platform,based on a spatiotemporal cube,and allows the integration of different data sources by adopting various data *** the spatiotemporal cube,a comprehensive data processing workflow gathers disparate COVID-19 epidemic data-sets at the global,national,provincial/state,county,and city *** proposed framework is supported by an automatic update with a 2-h frequency and the crowdsourcing validation team to produce and update data on a daily time *** rapid-response dataset allows the integration of other relevant socio-economic and environ-mental factors for spatiotemporal *** data is available in Harvard Dataverse platform(https://***/***?persistentId=doi:10.7910/DVN/8HGECN)and GitHub open source repository(https://***/stccenter/COVID-19-Data).

关键词： COVID-19 pandemic public health semi-automatic validation spatiotemporal data set

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火星超低雷诺数下螺旋桨气动性能研究

北京理工大学学报 2024年第2期44卷 172-181页

作者：张旺旺徐彬张海涛樊伟赵之然北京理工大学机械与车辆学院北京100083 北京理工大学重庆创新中心重庆401120

火星超低雷诺数环境导致螺旋桨系统气动特性相比于地球环境显著恶化,翼型表面层流分离现象影响了火星螺旋桨的气动特性.为设计出适应火星低雷诺数环境的螺旋桨,深入了解超低雷诺数对翼型气动特性的作用机理,采用Transition SST转捩模型... 详细信息

火星超低雷诺数环境导致螺旋桨系统气动特性相比于地球环境显著恶化,翼型表面层流分离现象影响了火星螺旋桨的气动特性.为设计出适应火星低雷诺数环境的螺旋桨,深入了解超低雷诺数对翼型气动特性的作用机理,采用Transition SST转捩模型求解非定常可压缩N-S方程的数值模拟技术,对几种适用于低雷诺数环境的翼型进行火星超低雷诺数环境下气动特性模拟计算,从而选取最适应火星大气环境的翼型.结果表明CLF5605翼型具有更好的气动性能.对选定的翼型进行不同超低雷诺数下气动特性模拟计算,揭示了超低雷诺数对翼型气动特性的影响,即在火星大气雷诺数范围内,更高的雷诺数对应更好的气动性能;对雷诺数从100~20000翼型表面边界层状态进行数值模拟,发现翼型层流分离结构发生显著变化,从低雷诺数下的层流边界层状态,随着雷诺数的增加开始发生层流分离,在翼型尾缘产生层流分离泡,并最终变成湍流边界层.采用最小能量损失的方法设计火星螺旋桨,对其气动性能进行了数值模拟仿真,并对轻量化制造的螺旋桨进行了地面台架实验验证,通过将地面实验结果与CFD数值模拟仿真结果对比,验证了螺旋桨轻量化设计合理性以及数值计算的准确性.

关键词：超低雷诺数气动特性边界层状态层流分离轻量化设计

N-doped graphene quantum dot-decorated N-TiO2/P-doped porous hollow g-C_(3)N_(4) nanotube composite photocatalysts for antibiotic photodegradation and H2 production

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International Journal of Minerals,Metallurgy and Materials 2024年第1期31卷 165-178页

作者： Jingshu Yuan Yao zhang Xiaoyan zhang Junjie zhang Shen’gen zhang Institute for Advanced Materials and Technology University of Science and Technology BeijingBeijing 100083China Xi’an Fanyi University Xi’an 710105China Shunde Graduate School of University of Science and Technology Beijing Foshan 528399China State Key Laboratory of Lunar and Planetary Sciences Macao University of Science and TechnologyMacao SAR 820000China

Exclusive responsiveness to ultraviolet light (~3.2 eV) and high photogenerated charge recombination rate are the two primary drawbacks of pure TiO_(2). We combined N-doped graphene quantum dots (N-GQDs), morphology regulation, and heterojunction construction strategies to synthesize N-GQD/N-doped TiO_(2)/P-doped porous hollow g-C_(3)N_(4) nanotube (PCN) composite photocatalysts (denoted as G-TPCN). The optimal sample (G-TPCN doped with 0.1wt% N-GQD, denoted as 0.1% G-TPCN) exhibits significantly enhanced photoabsorption, which is attributed to the change in bandgap caused by elemental doping (P and N), the improved light-harvesting resulting from the tube structure, and the upconversion effect of N-GQDs. In addition, the internal charge separation and transfer capability of0.1% G-TPCN are dramatically boosted, and its carrier concentration is 3.7, 2.3, and 1.9 times that of N-TiO_(2), PCN, and N-TiO_(2)/PCN(TPCN-1), respectively. This phenomenon is attributed to the formation of Z-scheme heterojunction between N-TiO_(2) and PCNs, the excellent electron conduction ability of N-GQDs, and the short transfer distance caused by the porous nanotube structure. Compared with those of N-TiO_(2), PCNs, and TPCN-1, the H2 production activity of 0.1%G-TPCN under visible light is enhanced by 12.4, 2.3, and 1.4times, respectively, and its ciprofloxacin (CIP) degradation rate is increased by 7.9, 5.7, and 2.9 times, respectively. The optimized performance benefits from excellent photoresponsiveness and improved carrier separation and migration efficiencies. Finally, the photocatalytic mechanism of 0.1% G-TPCN and five possible degradation pathways of CIP are proposed. This study clarifies the mechanism of multiple modification strategies to synergistically improve the photocatalytic performance of 0.1% G-TPCN and provides a potential strategy for rationally designing novel photocatalysts for environmental remediation and solar energy conversion.

关键词： N-doped TiO_(2) N-doped graphene quantum dots P-doped g-C_(3)N_(4) porous hollow nanotube heterojunction photocatalysis

Reversing free-electron transfer of sulfide cocatalyst for exceptional photocatalytic H_(2)evolution

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Journal of Materials Science & Technology 2024年第4期171卷 147-149页

作者： Yanfeng zhang Zhenyi zhang National Experimental Chemistry Teaching Center Hebei Key Laboratory of Inorganic Nano-materialsCollege of Chemistry and Materials ScienceHebei Normal UniversityShijiazhuang 050024China Key Laboratory of New Energy and Rare Earth Resource Utilization of State Ethnic Affairs Commission Key Laboratory of Photosensitive Materials and Devices of Liaoning ProvinceSchool of Physics and Materials EngineeringDalian Minzu UniversityDalian 116600China

Recently,Yu and co-workers deeply explore the potential impact of free electron transfer between co-catalysts and photocatalyst carriers on H_(2)evolution efficiency of active sites over MoS_(2+x).They pro-pose an electron-reversal tactics to evade the unexpected electron transfer and synchronously regulate the above transfer in a beneficial orientation for weakening hydrogen adsorption on S ***,this highlight not only discusses and summarizes the essences of electron reversal and the optimized H ad-sorption/desorption mechanism,but also emphasizes the significance of femtosecond transient absorp-tion spectroscopy(fs-TAS)and in-situ irradiated X-ray photoelectron spectroscopy(ISI-XPS)for revealing charge transfer dynamics and *** anticipate that this highlight can disseminate a new per-spective on the roles of photocatalyst carriers in improving cocatalytic H_(2)-production kinetics.

关键词： Photocatalysis Cocatalyst Electron reversal Antibonding-orbital occupancy S–H bonds

Deep Guided Attention Network for Joint Denoising and Demosaicing in Real Image

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Chinese Journal of Electronics 2024年第1期33卷 303-312页

作者： Tao zhang Ying FU Jun zhang School of Computer Science and Technology Beijing Institute of Technology Advanced Reasearch Institute of Multidisciplinary Science Beijing Institute of Technology

Denoising(DN) and demosaicing(DM) are the first crucial stages in the image signal processing pipeline. Recently, researches pay more attention to solve DN and DM in a joint manner, which is an extremely undetermined inverse problem. Existing deep learning methods learn the desired prior on synthetic dataset, which limits the generalization of learned network to the real world data. Moreover, existing methods mainly focus on the raw data property of high green information sampling rate for DM, but occasionally exploit the high intensity and signalto-noise(SNR) of green channel. In this work, a deep guided attention network(DGAN) is presented for real image joint DN and DM(JDD), which considers both high SNR and high sampling rate of green information for DN and DM, respectively. To ease the training and fully exploit the data property of green channel, we first train DN and DM sub-networks sequentially and then learn them jointly, which can alleviate the error accumulation. Besides, in order to support the real image JDD, we collect paired raw clean RGB and noisy mosaic images to conduct a realistic dataset. The experimental results on real JDD dataset show the presented approach performs better than the state-of-the-art methods, in terms of both quantitative metrics and qualitative visualization.

关键词： Training Visualization Inverse problems Green products Noise reduction Pipelines Signal processing

Value Iteration-Based Cooperative Adaptive Optimal Control for Multi-Player Differential Games With Incomplete Information

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IEEE/CAA Journal of Automatica Sinica 2024年第3期11卷 690-697页

作者： Yun zhang Lulu zhang Yunze Cai the Department of Automation Shanghai Jiao Tong UniversityShanghai 200240 the Key Laboratory of System Control and Information Processing Ministry of Education of ChinaShanghai 200240China

This paper presents a novel cooperative value iteration(VI)-based adaptive dynamic programming method for multi-player differential game models with a convergence *** players are divided into two groups in the learning process and adapt their policies *** method removes the dependence of admissible initial policies,which is one of the main drawbacks of the PI-based ***,this algorithm enables the players to adapt their control policies without full knowledge of others’ system parameters or control *** efficacy of our method is illustrated by three examples.

关键词： Adaptive dynamic programming incomplete information multi-player differential game value iteration

Host plant traits play a crucial role in shaping the composition of epiphytic microbiota in the arid desert,Northwest China

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Journal of Arid Land 2024年第5期16卷 699-724页

作者： zhang Jun zhang Yuanming zhang Qi State Key Laboratory of Desert and Oasis Ecology Key Laboratory of Ecological Safety and Sustainable Development in Arid LandsXinjiang Institute of Ecology and GeographyChinese Academy of SciencesUrumqi 830011China Xinjiang Key Laboratory of Biodiversity Conservation and Application in Arid Lands Xinjiang Institute of Ecology and GeographyChinese Academy of SciencesUrumqi 830011China Xinjiang Field Scientific Observation Research Station of Tianshan Wild Fruit Forest Ecosystem Yili Botanical GardenXinjiang Institute of Ecology and GeographyChinese Academy of SciencesUrumqi 830011China College of Life Sciences Shihezi UniversityShihezi 832003China

Phyllosphere microorganisms are a crucial component of environmental microorganisms,highly influenced by host characteristics,and play a significant role in plant health and ***,the impact of host characteristics on shaping phyllosphere microbial communities of plants with different life forms remains *** high-throughput sequencing technology,this study analyzed the diversity and community composition of phyllosphere epiphytic microorganisms(e.g.,bacteria and fungi)of various plant life forms in the hinterland of the Gurbantunggut Desert,Northwest *** annotation of prokaryotic taxa(FAPROTAX)and fungi function guild(FUNGuild)were employed to assess the ecological functions of microorganisms and to investigate the role of stochastic and deterministic processes in shaping phyllosphere microbial *** showed a diverse array of phyllosphere epiphytic microorganisms in the desert plants,with Proteobacteria,Cyanobacteria,and Actinobacteriota dominating bacterial community,while Ascomycota and Basidiomycota were prevalent in fungal *** across different plant life forms highlighted distinct microbial communities,indicating strong filtering effects by plant *** prediction identified intracellular parasites(accounting for 27.44%of bacterial community abundance),chemoheterotrophy(10.12%),and phototrophy(17.41%)as the main functions of epiphytic bacteria on leaves of different life form *** prediction indicated that phyllosphere epiphytic fungi primarily served as Saprotrophs(81.77%),Pathotrophs(17.41%),and Symbiotrophs(0.82%).Co-occurrence network analysis demonstrated a predominance of positive correlations among different microbial ***-Crick dissimilarity index analysis revealed that deterministic processes predominantly influenced phyllosphere bacterial and fungal community *** partitioning analysis and random forest modeling suggested that pla

关键词： phyllosphere epiphytic bacteria phyllosphere epiphytic fungi community structure community diversity functional diversity plant life form plant functional traits