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Siqi Li,Zhipeng Su,Chengjun Zhang,Zhuofei Xu,Xiaoping Chang,Jiawen Zhu,Ran Xiao,Lu Li,Rui Zhou 한국유전학회 2018 Genes & Genomics Vol.40 No.8
Porcine pleuropneumonia caused by Actinobacillus pleuropneumoniae has led to severe economic losses in the pig industry worldwide. A. pleuropneumoniae displays various levels of antimicrobial resistance, leading to the dire need to identify new drug targets. Protein–protein interaction (PPI) network can aid the identification of drug targets by discovering essential proteins during the life of bacteria. The aim of this study is to identify drug target candidates of A. pleuropneumoniae from essential proteins in PPI network. The homologous protein mapping method (HPM) was utilized to construct A. pleuropneumoniae PPI network. Afterwards, the subnetwork centered with H-NS was selected to verify the PPI network using bacterial two-hybrid assays. Drug target candidates were identified from the hub proteins by analyzing the topology of the network using interaction degree and homologous comparison with the pig proteome. An A. pleuropneumoniae PPI network containing 2737 non-redundant interaction pairs among 533 proteins was constructed. These proteins were distributed in 21 COG functional categories and 28 KEGG metabolic pathways. The A. pleuropneumoniae PPI network was scale free and the similar topological tendencies were found when compared with other bacteria PPI network. Furthermore, 56.3% of the H-NS subnetwork interactions were validated. 57 highly connected proteins (hub proteins) were identified from the A. pleuropneumoniae PPI network. Finally, 9 potential drug targets were identified from the hub proteins, with no homologs in swine. This study provides drug target candidates, which are promising for further investigations to explore lead compounds against A. pleuropneumoniae.
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Polydiacetone Acrylamide as Precursors to Polymer Side-Chain Conjugates
Hongzhen Tan,Zhipeng Yu,Junjie Xiao,Xi Wang,Chunwang Yi,Shengpei Su 한국고분자학회 2018 폴리머 Vol.42 No.4
Polydiacetone acrylamide (PDAAM), a reactive polymer containing pendant ketone groups was synthesized via reversible addition-fragmentation chain transfer (RAFT) polymerization. Kinetic studies indicated a well-controlled behavior of this RAFT polymerization. The characteristics of this RAFT polymerization was also confirmed by a wellcontrolled chain-extending RAFT polymerization using the above-synthesized PDAAM as a macromolecular chain transfer agent. Acid-catalyzed ketalization of PDAAM with trimethylol propane (TMP) was carried out to obtain the polymer containing pendant cyclic ketal groups and hydroxyl groups, PDAAM-TMP. PCL was grafted from PDAAM-TMP by ring-opening polymerization (ROP) in the presence of tin 2-ethylhexanoate as a catalyst to obtain graft copolymer. Basecatalyzed aldol condensation of PDAAM with benzaldehyde was also used to obtain poly[N-(1,1-dimethyl-3-oxo-5-phenyl-pent-4-enyl)-acrylamide] (PDMOPPEAM) having cinnamoyl groups, and the photoreactivity of polymer with cinnamoyl group was studied by UV-visible and IR absorption spectroscopy. Both of these two polymers prepared from PDAAM were characterized by FTIR and 1H NMR spectroscopy. PDAAM can be a multifunctional platform that can undergo further polymerization by ketalization and aldol condensation.
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Jichao Guo,Jun Zheng,Qing Lü,Zhipeng Xiao,Tiexin Liu 대한토목학회 2022 KSCE JOURNAL OF CIVIL ENGINEERING Vol.26 No.10
Discrete fracture network (DFN) simulation is the basis of studying the properties of a rock mass. An important premise of constructing three-dimensional (3-D) DFNs is to ensure that the fracture intensity (P32) of the simulated rock mass equals to that of the real one. In fact, the natural fracture shapes are various, and we can only obtain one-dimensional (1-D) and two-dimensional (2-D) measurements of a rock mass and usually infer 3-D DFNs based on 1-D and 2-D measurements. The following question would be induced: whether the DFNs with the same P32 and different shapes have similar 2-D trace information. Hence, a series of hypothetical 3-D elliptical DFNs with different values of long-short axis length ratio ke are constructed, and disc models are used to represent them. The algorithms of obtaining traces on sampling windows concerning circular and elliptical fractures are developed. The results show that as the values of ke increase, the error rate of the trace numbers and lengths between the elliptical fractures and simulated disc models on the same sampling windows increases. Moreover, because of the significant impact of fracture shape, the Accuracy representation Index is proposed to better evaluate which model is more appropriate for constructing DFNs.
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Phase-field simulation of radiation-induced bubble evolution in recrystallized U-Mo alloy
Yanbo Jiang,Yong Xin,Wenbo Liu,Zhipeng Sun,Ping Chen,Dan Sun,Mingyang Zhou,Xiao Liu,Di Yun 한국원자력학회 2022 Nuclear Engineering and Technology Vol.54 No.1
In the present work, a phase-field model was developed to investigate the influence of recrystallizationon bubble evolution during irradiation. Considering the interaction between bubbles and grain boundary(GB), a set of modified Cahn-Hilliard and Allen-Cahn equations, with field variables and order parametersevolving in space and time, was used in this model. Both the kinetics of recrystallization characterized inexperiments and point defects generated during cascade were incorporated in the model. The bubbleevolution in recrystallized polycrystalline of UeMo alloy was also investigated. The simulation resultsshowed that GB with a large area fraction generated by recrystallization accelerates the formation andgrowth of bubbles. With the formation of new grains, gas atoms are swept and collected by GBs. Thesimulation results of bubble size and distribution are consistent with the experimental results.
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