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| 1 | Current Understanding of HOG-MAPK Pathway in Aspergillus fumigatus显示文摘 | Dongmei Ma Ruoyu Li | 2013 | Mycopathologia2013，，1： | 1 |
| 2 | The DDB1-DCAF2 complex is essential for B cell development because it regulates cell cycle progression显示文摘B cell development in the bone marrow is critical for producing numerous B cells that play an essential role in the adaptive immune response.B cells develop from common lymphoid progenitors(CLPs),which then differentiate through a series of stages,which include prepro-B cells,pro-B cells,pre-B cells,immature B cells,and mature B cells. | Zhonghui Xue Jing Guo Ruoyu Ma Lina Zhou Yixin Guo Yong Cang Hengyu Fan Jian Chen Wenbin Qian Lie Wang | 2021 | Cellular & Molecular Immunology2021，18，3： | 0 |
| 3 | Variation of Radiation Damage with Irradiation Dose and Temperature in 304L Stainless Steel Studied by Positron Annihilation Technique显示文摘The nuclear grade 304LSS with lower carbon developed in China,possesses the intergranular corrosion resistant properties.To simulate neutron irradiation of materials in reactors,the heavy-ion irradiation is a commonly used method to save more time and materials research period.The neutron irradiation also produces helium and hydrogen. | ZHANG Qiaoli FAN Ping MA Hailiang ZUO Yi LI Ke WEN Ali BAI Ruoyu YUAN Daqing ZHANG Peng LU Eryang CAO Xingzhong WANG Baoyi | 2018 | 中国原子能科学研究院年报2018，，1： | 0 |
| 4 | Improving pathway prediction accuracy of constraints-based metabolic network models by treating enzymes as microcompartments显示文摘Metabolic network models have become increasingly precise and accurate as the most widespread and practical digital representations of living cells.The prediction functions were significantly expanded by integrating cellular resources and abiotic constraints in recent years.However,if unreasonable modeling methods were adopted due to a lack of consideration of biological knowledge,the conflicts between stoichiometric and other constraints,such as thermodynamic feasibility and enzyme resource availability,would lead to distorted predictions.In this work,we investigated a prediction anomaly of EcoETM,a constraints-based metabolic network model,and introduced the idea of enzyme compartmentalization into the analysis process.Through rational combination of reactions,we avoid the false prediction of pathway feasibility caused by the unrealistic assumption of free intermediate metabolites.This allowed us to correct the pathway structures of L-serine and L-tryptophan.A specific analysis explains the application method of the EcoETM-like model and demonstrates its potential and value in correcting the prediction results in pathway structure by resolving the conflict between different constraints and incorporating the evolved roles of enzymes as reaction compartments.Notably,this work also reveals the trade-off between product yield and thermodynamic feasibility.Our work is of great value for the structural improvement of constraints-based models. | Xue Yang Zhitao Mao Jianfeng Huang Ruoyu Wang Huaming Dong Yanfei Zhang Hongwu Ma | 2023 | Synthetic and Systems Biotechnology2023，8，4： | 0 |
| 5 | Enzyme Commission Number Prediction and Benchmarking with Hierarchical Dual-core Multitask Learning Framework显示文摘Enzyme commission(EC)numbers,which associate a protein sequence with the biochemical reactions it catalyzes,are essential for the accurate understanding of enzyme functions and cellular metabolism.Many ab initio computational approaches were proposed to predict EC numbers for given input protein sequences.However,the prediction performance(accuracy,recall,and precision),usability,and efficiency of existing methods decreased seriously when dealing with recently discovered proteins,thus still having much room to be improved.Here,we report HDMLF,a hierarchical dual-core multitask learning framework for accurately predicting EC numbers based on novel deep learning techniques.HDMLF is composed of an embedding core and a learning core;the embedding core adopts the latest protein language model for protein sequence embedding,and the learning core conducts the EC number prediction.Specifically,HDMLF is designed on the basis of a gated recurrent unit framework to perform EC number prediction in the multi-objective hierarchy,multitasking manner.Additionally,we introduced an attention layer to optimize the EC prediction and employed a greedy strategy to integrate and fine-tune the final model.Comparative analyses against 4 representative methods demonstrate that HDMLF stably delivers the highest performance,which improves accuracy and F1 score by 60%and 40%over the state of the art,respectively.An additional case study of tyrB predicted to compensate for the loss of aspartate aminotransferase aspC,as reported in a previous experimental study,shows that our model can also be used to uncover the enzyme promiscuity.Finally,we established a web platform,namely,ECRECer(http://gffzz4919e3ba129e423dsqvcpbqxvkk9w6onn.ffgz.tsg.suse.edu.cn),using an entirely could-based serverless architecture and provided an offline bundle to improve usability. | Zhenkun Shi Rui Deng Qianqian Yuan Zhitao Mao Ruoyu Wang Haoran Li Xiaoping Liao Hongwu Ma | 2023 | Research2023，，3： | 0 |
| 6 | FPGA-based Digital Implementation of Flexible Power Control for Three-phase to Single-phase MMC-based Advanced Co-phase Traction Power Supply System显示文摘A three-phase to single-phase modular multilevel converter based advanced co-phase traction power supply(MMC-ACTPS) system is an effective structure to address the concerns of phase splitting and poor power quality of the conventional electrified railway. Due to the large number of MMCACTPS system modules, I/O resources and computing speed have high requirements on processors. Moreover, the module capacitor balance is challenging because the sorting time is too long when the traditional sorting algorithm for voltage balance is used. To solve the above issues, a digital implementation scheme of flexible power control strategy for three-phase to single-phase MMC-ACTPS system based on field programmable gate array(FPGA), which has sufficient I/O resources, has been proposed. Due to the parallel execution characteristics of the FPGA, the execution time of the controller and the modulator can be greatly reduced compared with a digital signal processor(DSP) + FPGA or DSpace. In addition, an improved sorting algorithm is proposed to reduce the sorting time and the implementation steps are analyzed. Finally, simulation and experimental results are presented to demonstrate the effectiveness and correctness of the proposed control strategy. | Jiangpeng Yang Hongjian Lin Haotian Zhu Zeliang Shu Lan Ma Changsong Cai Pengcheng Zhang Li He Ruoyu Li Shasha Song Josep M.Guerrero | 2023 | Journal of Modern Power Systems and Clean Energy2023，11，6： | 0 |
| 7 | ZmMYC2s play important roles in maize responses to simulated herbivory and jasmonate显示文摘Both herbivory and jasmonic acid(JA)activate the biosynthesis of defensive metabolites in maize,but the mechanism underlying this remains unclear.We generated maize mutants in which ZmMYC2a and ZmMYC2b,two transcription factor genes important in JA signaling,were individually or both knocked out.Genetic and biochemical analyses were used to elucidate the functions of ZmMYC2 proteins in the maize response to simulated herbivory and JA.Compared with the wild-type(WT)maize,the double mutant myc2ab was highly susceptible to insects,and the levels of benzoxazinoids and volatile terpenes,and the levels of their biosynthesis gene transcripts,were much lower in the mutants than in the WT maize after simulated insect feeding or JA treatment.Moreover,ZmMYC2a and ZmMYC2b played a redundant role in maize resistance to insects and JA signaling.Transcriptome and Cleavage Under Targets and TagmentationSequencing(CUT&Tag-Seq)analysis indicated that ZmMYC2s physically targeted 60%of the JAresponsive genes,even though only 33%of these genes were transcriptionally ZmMYC2-dependent.Importantly,CUT&Tag-Seq and dual luciferase assays revealed that ZmMYC2s transactivate the benzoxazinoid and volatile terpene biosynthesis genes IGPS1/3,BX10/11/12/14,and TPS10/2/3/4/5/8 by directly binding to their promoters.Furthermore,several transcription factors physically targeted by ZmMYC2s were identified,and these are likely to function in the regulation of benzoxazinoid biosynthesis.This work reveals the transcriptional regulatory landscapes of both JA signaling and ZmMYC2s in maize and provides comprehensive mechanistic insight into how JA signaling modulates defenses in maize responses to herbivory through ZmMYC2s. | Canrong Ma Ruoyue Li Yan Sun Mou Zhang Sen Li Yuxing Xu Juan Song Jing Li Jinfeng Qi Lei Wang Jianqiang Wu | 2023 | Journal of Integrative Plant Biology2023，65，4： | 0 |
| 8 | A comparative study of polymer nanocomposites containing multi-walled carbon nanotubes and graphene nanoplatelets显示文摘Featuring exceptional mechanical and functional performance, MWCNTs and graphene(nano)platelets(GNPs or Gn Ps;each platelet below 10 nm in thickness) have been increasingly used for the development of polymer nanocomposites. Since MWCNTs are now cost-effective at US$30 per kg for industrial applications, this work starts by briefly reviewing the disentanglement and surface modification of MWCNTs as well as the properties of the resulting polymer nanocomposites. GNPs can be made through the thermal treatment of graphite intercalation compounds followed by ultrasonication;GNPs would have lower cost yet higher electrical conductivity over 1,400 S cmthan MWCNTs. Through proper surface modification and compounding techniques, both types of fillers can reinforce or toughen polymers and simultaneously add anti-static performance. A high ratio of MWCNTs to GNPs would increase the synergy for polymers. Green, solvent-free systhesis methods are desired for polymer nanocomposites. Perspectives on the limitations, current challenges and future prospects are provided. | Xiao Su Ruoyu Wang Xiaofeng Li Sherif Araby Hsu-Chiang Kuan Mohannad Naeem Jun Ma | 2022 | Nano Materials Science2022，4，3： | 0 |
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