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Guoyin Kai,Pan Liao,Wei Zhou,Jing Wang,Hui Xu,Yuanyun Liu,Tong Zhang,Lin Zhang 한국생물공학회 2010 Biotechnology and Bioprocess Engineering Vol.15 No.2
Geranylgeranyl diphosphate synthase (GGPPS,EC: 2.5.1.29) catalyzes the biosynthesis of geranylgeranyl diphosphate (GGPP), which is a key precursor for diterpenes including tanshinone. In this study, a full-length cDNA encoding GGPPS was isolated from Salvia miltiorrhiza by rapid amplification of cDNA ends (RACE) for the first time, which was designated as SmGGPPS (GenBank Accession No. FJ643617). The full-length cDNA of SmGGPPS was 1,234 bp containing a 1,092 bp open reading frame (ORF) encoding a polypeptide of 364 amino acids. Analysis of SmGGPPS genomic DNA revealed that it contained 2 exons and 1 intron. Bioinformatics analyses revealed that the deduced SmGGPPS had extensive homology with other plant GGPPSs contained all 5 conserved domains and functional aspartate-rich motifs of the prenyltransferases. Molecular modeling showed that SmGGPPS is a new GGPPS with a spatial structure similar to other plant GGPPSs. Phylogenetic tree analysis indicated that SmGGPPS belongs to the plant GGPPS super-family and has the closest relationship with GGPPS from Nicotiana attenuate. The functional identification in Escherichia coli showed that SmGGPPS could accelerate the biosynthesis of carotenoid, demonstrating that SmGGPPS encoded a functional protein. Expression pattern analysis implied that SmGGPPS expressed higher in leaves and roots, weaker in stems. The expression of SmGGPPS could be up-regulated by Salicylic acid (SA) in leaves and inhibited by methyl jasmonate (MeJA) in 3 tested tissues, suggesting that SmGGPPS was elicitor-responsive. This work will be helpful to understand more about the role of SmGGPPS involved in the tanshinones biosynthesis pathway and metabolic engineering to improve tanshiones production in S. miltiorrhiza.
Kai, Guoyin,Zhao, Lingxia,Zhang, Lei,Li, Zhugang,Guo, Binhui,Zhao, Dongli,Sun, Xiaofen,Miao, Zhiqi,Tang, Kexuan Korean Society for Biochemistry and Molecular Biol 2005 Journal of biochemistry and molecular biology Vol.38 No.6
A full-length cDNA encoding taxadiene synthase (designated as TmTXS), which catalyzes the first committed step in the Taxol biosynthetic pathway, was isolated from young leaves of Taxus media by rapid amplification of cDNA ends (RACE). The full-length cDNA of TmTXS had a 2586 bp open reading frame (ORF) encoding a protein of 862 amino acid residues. The deduced protein had isoelectric point (pI) of 5.32 and a calculated molecular weight of about 98 kDa, similar to previously cloned diterpene cyclases from other Taxus species such as T. brevifolia and T. chinenisis. Sequence comparison analysis showed that TmTXS had high similarity with other members of terpene synthase family of plant origin. Tissue expression pattern analysis revealed that TmTXS expressed strongly in leaves, weak in stems and no expression could be detected in fruits. This is the first report on the mRNA expression profile of genes encoding key enzymes involved in Taxol biosynthetic pathway in different tissues of Taxus plants. Phylogenetic tree analysis showed that TmTXS had closest relationship with taxadiene synthase from T. baccata followed by those from T. chinenisis and T. brevifolia. Expression profiles revealed by RT-PCR under different chemical elicitor treatments such as methyl jasmonate (MJ), silver nitrate (SN) and ammonium ceric sulphate (ACS) were also compared for the first time, and the results revealed that expression of TmTXS was all induced by the tested three treatments and the induction effect by MJ was the strongest, implying that TmTXS was high elicitor responsive.
Kai, Guoyin,Chen, Junfeng,Li, Li,Zhou, Genyu,Zhou, Limin,Zhang, Lei,Chen, Yuhui,Zhao, Linxia Korean Society for Biochemistry and Molecular Biol 2007 Journal of biochemistry and molecular biology Vol.40 No.5
A new full-length cDNA encoding hyoscyamine $6\beta$-hydroxylase (designated as aah6h, GenBank Accession No. EF187826), which catalyzes the last committed step in the scopolamine biosynthetic pathway, was isolated from young roots of Anisodus acutangulus by rapid amplification of cDNA ends (RACE) for the first time. The full-length cDNA of aah6h was 1380 bp and contained a 1035 bp open reading frame (ORF) encoding a deduced protein of 344 amino acid residues. The deduced protein had an isoelectric point (pI) of 5.09 and a calculated molecular mass of about 38.7 kDa. Sequence analyses showed that AaH6H had high homology with other H6Hs isolated from some scopolamine-producing plants such as Hyoscyamus niger, Datura metel and Atropa belladonna etc. Bioinformatics analyses results indicated AaH6H belongs to 2-oxoglutarate-dependent dioxygenase superfamily. Phylogenetic tree analysis showed that AaH6H had closest relationship with H6H from A. tanguticus. Southern hybridization analysis of the genomic DNA revealed that aah6h belonged to a multi-copy gene family. Tissue expression pattern analysis firstly founded that aah6h expressed in all the tested tissues including roots, stems and leaves and indicated that aah6h was a constitutive-expression gene, which was the first reported tissue-independent h6h gene compared to other known h6h genes.
Zhonggang Yin,Guoyin Li,Chao Du,Xiangdong Sun,Jing Liu,Yanru Zhong 전력전자학회 2017 JOURNAL OF POWER ELECTRONICS Vol.17 No.1
To improve the performance of sensorless induction motor (IM) drives, an adaptive speed estimation method based on a strong tracking extended Kalman filter with a least-square algorithm (LS-STEKF) for induction motors is proposed in this paper. With this method, a fading factor is introduced into the covariance matrix of the predicted state, which forces the innovation sequence orthogonal to each other and tunes the gain matrix online. In addition, the estimation error is adjusted adaptively and the mutational state is tracked fast. Simultaneously, the fading factor can be continuously self-tuned with the least-square algorithm according to the innovation sequence. The application of the least-square algorithm guarantees that the information in the innovation sequence is extracted as much as possible and as quickly as possible. Therefore, the proposed method improves the model adaptability in terms of actual systems and environmental variations, and reduces the speed estimation error. The correctness and the effectiveness of the proposed method are verified by experimental results.
A Parallel Algorithm of String Matching Based on Message Passing Interface for Multicore Processors
Jiaxing Qu,Guoyin Zhang,Zhou Fang,Jiahui Liu 보안공학연구지원센터 2016 International Journal of Hybrid Information Techno Vol.9 No.3
Multicore has long been considered an attractive platform for string matching. However, some existing traditional algorithms of string matching do not adapt to multicore platform, which pose new challenges to parallelism designs. In this paper, we introduce a multicore architecture with message passing interface to address these challenges. We exploit the popular Aho-Corasick algorithm for the string matching engine. Data parallelism is utilized to design optimization technique of string matching. The experiments show that an implementation of the 8-core system achieves up to 10.5 Gbps throughput on the average.
Shangwen Zha,Pri Gusnawan,Guoyin Zhang,Ning Liu,Robert Lee,Jianjia Yu 한국공업화학회 2016 Journal of Industrial and Engineering Chemistry Vol.44 No.-
In this study, a PES/SiO2 based thinfilm composite (TFC) hollowfiber membrane (HFM) was prepared forthe oilfield produced water desalination with low-pressure nanofiltration process. The effects ofoperating parameters including pressure, salt concentration and time, on the salt rejection wereinvestigated. The results showed that the salt rejection increased linearly with an increase in operatingpressure from 50 psi to 80 psi, decreasing slightly with a further increase in pressure to 100 psi. Theincreased salt concentration resulted in a decrease in salt rejection. A solution diffusion theory-basedmodel was proposed to well explain the laboratory testing results.
Yin, Zhonggang,Li, Guoyin,Du, Chao,Sun, Xiangdong,Liu, Jing,Zhong, Yanru The Korean Institute of Power Electronics 2017 JOURNAL OF POWER ELECTRONICS Vol.17 No.1
To improve the performance of sensorless induction motor (IM) drives, an adaptive speed estimation method based on a strong tracking extended Kalman filter with a least-square algorithm (LS-STEKF) for induction motors is proposed in this paper. With this method, a fading factor is introduced into the covariance matrix of the predicted state, which forces the innovation sequence orthogonal to each other and tunes the gain matrix online. In addition, the estimation error is adjusted adaptively and the mutational state is tracked fast. Simultaneously, the fading factor can be continuously self-tuned with the least-square algorithm according to the innovation sequence. The application of the least-square algorithm guarantees that the information in the innovation sequence is extracted as much as possible and as quickly as possible. Therefore, the proposed method improves the model adaptability in terms of actual systems and environmental variations, and reduces the speed estimation error. The correctness and the effectiveness of the proposed method are verified by experimental results.
A Novel Speed Estimation Method of Induction Motors Using Real-Time Adaptive Extended Kalman Filter
Yanqing Zhang,Zhonggang Yin,Guoyin Li,Jing Liu,Xiangqian Tong 대한전기학회 2018 Journal of Electrical Engineering & Technology Vol.13 No.1
To improve the performance of sensorless induction motor (IM) drives, a novel speed estimation method based on the real-time adaptive extended Kalman filter (RAEKF) is proposed in this paper. In this algorithm, the fuzzy factor is introduced to tune the measurement covariance matrix online by the degree of mismatch between the actual innovation and the theoretical. Simultaneously, the fuzzy factor can be continuously self-tuned tuned by the fuzzy logic reasoning system based on Takagi–Sugeno (T-S) model. Therefore, the proposed method improves the model adaptability to the actual systems and the environmental variations, and reduces the speed estimation error. Furthermore, a simple exponential function based on the fuzzy theory is used to reduce the computational burden, and the real-time performance of the system is improved. The correctness and the effectiveness of the proposed method are verified by the simulation and experimental results.
A Novel Speed Estimation Method of Induction Motors Using Real-Time Adaptive Extended Kalman Filter
Zhang, Yanqing,Yin, Zhonggang,Li, Guoyin,Liu, Jing,Tong, Xiangqian The Korean Institute of Electrical Engineers 2018 Journal of Electrical Engineering & Technology Vol.13 No.1
To improve the performance of sensorless induction motor (IM) drives, a novel speed estimation method based on the real-time adaptive extended Kalman filter (RAEKF) is proposed in this paper. In this algorithm, the fuzzy factor is introduced to tune the measurement covariance matrix online by the degree of mismatch between the actual innovation and the theoretical. Simultaneously, the fuzzy factor can be continuously self-tuned tuned by the fuzzy logic reasoning system based on Takagi-Sugeno (T-S) model. Therefore, the proposed method improves the model adaptability to the actual systems and the environmental variations, and reduces the speed estimation error. Furthermore, a simple exponential function based on the fuzzy theory is used to reduce the computational burden, and the real-time performance of the system is improved. The correctness and the effectiveness of the proposed method are verified by the simulation and experimental results.