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| 1 | Development of the triazole-fused pyrimidine derivatives as highly potent and reversible inhibitors of histone lysine specific demethylase1(LSD1/KDM1A)显示文摘Histone lysine specific demethylase 1(LSD1) has been recognized as an important modulator in post-translational process in epigenetics. Dysregulation of LSD1 has been implicated in the development of various cancers. Herein, we report the discovery of the hit compound 8 a(IC50=3.93 μmol/L) and further medicinal chemistry efforts, leading to the generation of compound 15 u(IC50=49 nmol/L, and Ki= 16 nmol/L), which inhibited LSD1 reversibly and competitively with H3 K4 me2, and was selective to LSD1 over MAO-A/B. Docking studies were performed to rationalize the potency ofcompound 15 u. Compound 15 u also showed strong antiproliferative activity against four leukemia cell lines(OCL-AML3, K562, THP-1 and U937) as well as the lymphoma cell line Raji with the IC50 values of 1.79, 1.30, 0.45, 1.22 and 1.40 μmol/L, respectively. In THP-1 cell line, 15 u significantly inhibited colony formation and caused remarkable morphological changes. Compound 15 u induced expression of CD86 and CD11 b in THP-1 cells, confirming its cellular activity and ability of inducing differentiation.The findings further indicate that targeting LSD1 is a promising strategy for AML treatment, the triazolefused pyrimidine derivatives are new scaffolds for the development of LSD1/KDM1 A inhibitors. | Zhonghua Li Lina Ding Zhongrui Li Zhizheng Wang Fengzhi Suo Dandan Shen Taoqian Zhao Xudong Sun Junwei Wang Ying Liu Liying Ma Bing Zhao Pengfei Geng Bin Yu Yichao Zheng Hongmin Liu | 2019 | Acta Pharmaceutica Sinica B2019，9，4： | 6 |
| 2 | A Simulated Investigation of Ductile Response of GaAs in Single-Point Diamond Turning and Experimental Validation显示文摘In this paper,molecular dynamic(MD)simulation was adopted to study the ductile response of single-crystal GaAs during single-point diamond turning(SPDT).The variations of cutting temperature,coordination number,and cutting forces were revealed through MD simulations.SPDT experiment was also carried out to qualitatively validate MD simulation model from the aspects of normal cutting force.The simulation results show that the fundamental reason for ductile response of GaAs during SPDT is phase transition from a perfect zinc blende structure(GaAs-I)to a rock-salt structure(GaAs-II)under high pressure.Finally,a strong anisotropic machinability of GaAs was also found through MD simulations. | Pengfei Fan Fei Ding Xichun Luo Yongda Yan Yanquan Geng Yuzhang Wang | 2020 | Nanomanufacturing and Metrology2020，3，4： | 2 |
| 3 | Study on Deformation Prediction of the Tunnel Surrounding Rocks Based on Non-equal Time-interval Grey Model显示文摘 | GENG Pengfei YANG Changmin GUO Weidong WANG Peng | 2014 | Applied Mechanics and Materials2014，，7： | 1 |
| 4 | Study and application on the evaluation method of porous formation for long-term waterflooding sand reservoir显示文摘Nine targets which stand both for the static characteristic of produced formations and the dynamic parameter of wells including the average permeability,variation coefficient of permeability,moving capability,remaining recoverable reserves,coefficient of flooding,daily oil production,increasing rate of water cut,cumulative liquid production per unit meter and efficiency index of oil production are selected as the evaluation indexes,a novel model to evaluate the porous formations in long-term waterflooding sand reservoir was established by using the support vector machine and clustering analysis. Data of 57 wells from Shentuo 21 block Shengli oilfield was analyzed by using the model. Four kinds of formation groups were gained. According to the analysis result,different adjustment solutions were put forward to develop the relevant formations. The Monthly oil production increased 7.6 % and the water cut decreased 8.9 % after the adjusted solutions. Good results indicate that the learning from this method gained will be valuable adding to other long-term waterflooding sand reservoirs in Shengli oilfield and other similar reservoirs worldwide. | Wang Changjiang Jiang Hanqiao Chen Minfeng Geng Zhanli Liu Pengfei | 2009 | Engineering Sciences2009，7，3： | 1 |
| 5 | Air-Ground Integrated Low-Energy Federated Learning for Secure 6G Communications显示文摘Federated learning(FL)is a distributed machine learning approach that could provide secure 6G communications to preserve user privacy.In 6G communications,unmanned aerial vehicles(UAVs)are widely used as FL parameter servers to collect and broadcast related parameters due to the advantages of easy deployment and high flexibility.However,the challenge of limited energy restricts the populariza⁃tion of UAV-enabled FL applications.An airground integrated low-energy federated learning framework is proposed,which minimizes the overall energy consumption of application communication while maintaining the quality of the FL model.Specifically,a hierarchical FL framework is proposed,where base stations(BSs)aggregate model parameters updated from their surrounding users separately and send the aggregated model parameters to the server,thereby reducing the energy consumption of communication.In addition,we optimize the deploy⁃ment of UAVs through a deep Q-network approach to minimize their energy consumption for transmission as well as movement,thus improv⁃ing the energy efficiency of the airground integrated system.The evaluation results show that our proposed method can reduce the system en⁃ergy consumption while maintaining the accuracy of the FL model. | WANG Pengfei SONG Wei SUN Geng WEI Zongzheng ZHANG Qiang | 2022 | ZTE Communications2022，20，4： | 1 |
| 6 | Experimental and Modelling Study on Emission of Volatile Nitrogen Derived NO during Pressured Oxy-fuel Combustion under Wet Flue Gas Environment显示文摘Pressurised oxy-fuel combustion(POFC)is a clean and efficient combustion technology with great potential.Due to the recycling of flue gas,the concentration of steam in the flue gas is higher than that of conventional combustion,which enriches the free radical pool in the flue gas and thus affects the emission of gaseous pollutants.Therefore,further research into the effect of high steam concentrations on NO_(x)emission mechanisms in POFC is necessary.In this work,a fixed-bed reactor was used to conduct combustion experiments of volatiles and combined with chemical kinetic models to study the NO release characteristics for different pressures and steam concentrations in an O_(2)/CO_(2)atmosphere at 800℃/900℃temperature.The results of the study indicated that the volatile nitrogen comes from the pyrolysis of part of pyrrole,pyridine,and all quaternary nitrogen in coal.The increase in temperature promoted the formation of NO during combustion.Higher pressure affects the main reaction pathway for NO formation,promoting NO consumption by HCCO and C_(2)O groups while enhancing the overall NO reduction.Steam promoted NO consumption by NCO.In addition,steam increased the amount of H/OH groups during the reaction,which affected both NO formation and consumption.However,from the overall effect,the steam still inhibits the emission of NO. | ZAN Haifeng CHEN Xiaoping PAN Suyang GENG Pengfei LIU Daoyin MA Jiliang LIANG Cai | 2023 | Journal of Thermal Science2023，32，5： | 0 |
| 7 | Broadband and High-Temperature-Resistant Microwave Absorber Using Additively Manufactured Ceramic Substrate显示文摘This paper presents an approach to achieve broadband absorption and temperature resistance using ceramic sub-strates.A specially formulated slurry suitable for additive manufacturing technology was developed to fabricate ceramic substrates with lattice structures.The lattice structure not only reduces the weight of the absorber but also facilitates the broadening of the absorption bandwidth.The experimental results demonstrate that the pro-posed structure exhibits absorption rates exceeding 88%within the frequency range of 19.9-30.41 GHz,with a relative absorption bandwidth of 41.8%under normal incidence.Furthermore,the absorber’s performance was assessed under high temperatures of up to 200℃,revealing absorption spectra that closely match the initially measured spectrum.Additive-manufactured ceramic lattice structures present a promising avenue for designing multifunctional broadband microwave absorbers capable of withstanding elevated temperatures. | Baihong Chi Kuan Lu Pengfei Wang Mengzhu Li Yuanyuan Li Xinyu Geng Guangsheng Deng | 2023 | Chinese Journal of Mechanical Engineering(Additive Manufacturing Frontiers)2023，2，4： | 0 |
| 8 | High-silica faujasite zeolite-tailored metal encapsulation for the low-temperature production of pentanoic biofuels显示文摘Zeolite-encapsulated metal nanoclusters are at the heart of bifunctional catalysts,which hold great potential for petrochemical conversion and the emerging sustainable biorefineries.Nevertheless,efficient encapsulation of metal nanoclusters into a high-silica zeolite Y in particular with good structural integrity still remains a significant challenge.Herein,we have constructed Ru nanoclusters(~1 nm)encapsulated inside a high-silica zeolite Y(SY)with a SiO_(2)/Al_(2)O_(3) ratio(SAR)of 10 via a cooperative strategy for direct zeolite synthesis and a consecutive impregnation for metal encapsulation.Compared with the benchmark Ru/H-USY and other analogues,the as-prepared Ru/H-SY markedly boosts the yields of pentanoic biofuels and stability in the direct hydrodeoxygenation of biomass-derived levulinate even at a mild temperature of 180℃,which are attributed to the notable stabilization of transition states by the enhanced acid accessibility and properly sized constraints of zeolite cavities owing to the good structural integrity. | Wenhao Cui Yuanshuai Liu Pengfei Guo Zhijie Wu Liqun Kang Huawei Geng Shengqi Chu Linying Wang Dong Fan Zhenghao Jia Haifeng Qi Wenhao Luo Peng Tian Zhongmin Liu | 2024 | Journal of Energy Chemistry2024，88，1： | 0 |
| 9 | Emvirus:An embedding-based neural framework for human-virus proteinprotein interactions prediction显示文摘Human-virus protein-protein interactions(PPIs)play critical roles in viral infection.For example,the spike protein of severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)binds primarily to human angiotensinconverting enzyme 2(ACE2)protein to infect human cells.Thus,identifying and blocking these PPIs contribute to controlling and preventing viruses.However,wet-lab experiment-based identification of human-virus PPIs is usually expensive,labor-intensive,and time-consuming,which presents the need for computational methods.Many machine-learning methods have been proposed recently and achieved good results in predicting humanvirus PPIs.However,most methods are based on protein sequence features and apply manually extracted features,such as statistical characteristics,phylogenetic profiles,and physicochemical properties.In this work,we present an embedding-based neural framework with convolutional neural network(CNN)and bi-directional long short-term memory unit(Bi-LSTM)architecture,named Emvirus,to predict human-virus PPIs(including human-SARS-CoV-2 PPIs).In addition,we conduct cross-viral experiments to explore the generalization ability of Emvirus.Compared to other feature extraction methods,Emvirus achieves better prediction accuracy. | Pengfei Xie Jujuan Zhuang Geng Tian Jialiang Yang | 2023 | Biosafety and Health2023，5，3： | 0 |
| 10 | Single-cell technologies:From research to application显示文摘In recent years,more and more single-cell technologies have been developed.A vast amount of single-cell omics data has been generated by large projects,such as the Human Cell Atlas,the Mouse Cell Atlas,the Mouse RNA Atlas,the Mouse ATAC Atlas,and the Plant Cell Atlas.Based on these single-cell big data,thousands of bioinformatics algorithms for quality control,clustering,cell-type annotation,developmental inference,cell-cell transition,cell-cell interaction,and spatial analysis are developed.With powerful experimental single-cell technology and state-of-the-art big data analysis methods based on artificial intelligence,the molecular landscape at the single-cell level can be revealed. | Lu Wen Guoqiang Li Tao Huang Wei Geng Hao Pei Jialiang Yang Miao Zhu Pengfei Zhang Rui Hou Geng Tian Wentao Su Jian Chen Dake Zhang Pingan Zhu Wei Zhang Xiuxin Zhang Ning Zhang Yunlong Zhao Xin Cao Guangdun Peng Xianwen Ren Nan Jiang Caihuan Tian Zi-Jiang Chen | 2022 | The Innovation2022，3，6： | 0 |
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