• Title/Summary/Keyword: SpPCA

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Phenazine 1-carboxylic acid resistance in phenazine 1-carboxylic acid producing Bacillus sp. B-6

  • Kim, Kyoung-Ja
    • BMB Reports
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    • v.33 no.4
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    • pp.332-336
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    • 2000
  • Phenazine 1-carboxylic acid (PCA) is an antifungal antibiotic isolated from a culture filtrate of Bacillus sp. B-6 producing an acyl CoA synthetase inhibitor. This antibiotic is reported as an inhibitor of an acyl CoA synthetase from Pseudomonas sp.. Bacillus sp. B-6 was resistant to PCA up to 350 ${\mu}g/ml$. We investigated the mechanism of the resistance of Bacillus sp. B-6 to PCA. The rate of growth in a medium containing up to 100 ${\mu}g/ml$ was as rapid as the PCA-free medium. At a PCA concentration of 300 ${\mu}g/ml$, the growth rate was more than half that of the control. In this work, we purified acyl CoA synthetase from Bacillus sp. B-6 and found that this acyl CoA synthetase was much less sensitive to PCA than the acyl CoA synthetase from other source. These findings suggested that the insensitivity of Bacillus sp. B-6 acyl CoA synthetase plays an important role in the PCA resistance of this bacterium.

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MRS Pattern Classification Using Fusion Method based on SpPCA and MLP (SpPCA와 MLP에 기반을 둔 응합법칙에 의한 MRS 패턴분류)

  • Song Chang kyu;Lee Dae jong;Jeon Byeong seok;Ryu Jeong woong
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.30 no.9C
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    • pp.922-929
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    • 2005
  • In this paper, we propose the MRS p:Ittern classification techniques by the fusion scheme based on the SpPCA and MLP. A conventional PCA teclulique for the dimension reduction has the problem that it can't find a optimal transformation matrix if the property of input data is nonlinear. To overcome this drawback we extract features by the SpPCA technique which use the local patterns rather than whole patterns. In a next classification step, individual classifier based on MLP calculates the similarity of each class for local features. Finally, MRS patterns is classified by the fusion scheme to effectively combine the individual information. As the simulation results to verify the effectiveness, the proposed method showed more improved classification results than conventional methods.

Cloning of p-Hydroxybenzoate Degradation Genes and the Overexpression of Protocatechuate 4,5-Dioxygenase from Pseudomonas sp. K82

  • Yoon, Young-Ho;Park, Soon-Ho;Leem, Sun-Hee;Kim, Seung-Il
    • Journal of Microbiology and Biotechnology
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    • v.16 no.12
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    • pp.1995-1999
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    • 2006
  • Pseudomonas sp. K82 cultured in p-hydroxybenzoate induces protocatechuate 4,5-dioxygenase (PCD 4,5) for p-hydroxybenzoate degradation. In this study, a 6.0-kbp EcoR1 fragment containing p-hydroxybenzoate degradation genes was cloned from the genome of Pseudomonas sp. K82. Sequence analysis identified four genes, namely, pcaD, pcaA, pcaB, and pcaC genes known to be involved in p-hydroxybenzoate degradation. Two putative 4-hydroxyphenylpyruvate dioxygenases and one putative oxidoreductase were closely located by the p-hydroxybenzoate degradation genes. The gene arrangement and sequences of these p-hydroxybenzoate degradation genes were similar to those of Comamonas testosteroni and Pseudomonas ochraceae. PcaAB (PCD4,5) was overexpressed in the expression vector pGEX-4T-3, purified using a GST column, and confirmed to have protocatechuate 4,5-dioxygenase activity. The N-terminal amino acid sequences of overexpressed PCD4,5 were identical with those of purified PCD4,5 from Pseudomonas sp. K82.

Feature Extraction and Classification of High Dimensional Biomedical Spectral Data (고차원을 갖는 생체 스펙트럼 데이터의 특징추출 및 분류기법)

  • Cho, Jae-Hoon;Park, Jin-Il;Lee, Dae-Jong;Chun, Myung-Geun
    • Journal of the Korean Institute of Intelligent Systems
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    • v.19 no.3
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    • pp.297-303
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    • 2009
  • In this paper, we propose the biomedical spectral pattern classification techniques by the fusion scheme based on the SpPCA and MLP in extended feature space. A conventional PCA technique for the dimension reduction has the problem that it can't find an optimal transformation matrix if the property of input data is nonlinear. To overcome this drawback, we extract features by the SpPCA technique in extended space which use the local patterns rather than whole patterns. In the classification step, individual classifier based on MLP calculates the similarity of each class for local features. Finally, biomedical spectral patterns is classified by the fusion scheme to effectively combine the individual information. As the simulation results to verify the effectiveness, the proposed method showed more improved classification results than conventional methods.

Structure Analysis of pmcABCDEFT Gene Cluster for Degradation of Protocatechuate from Comamonas sp. Strain DJ-12 (Comamonas sp. Strain DJ-12로부터 Protocatechuate의 분해에 관여하는 pmcABCDEFT 유전자군의 구조 분석)

  • Kang Cheol-Hee;Lee Sang-Mhan;Lee Kyoung;Lee Dong-Hun;Kim Chi-Kyung
    • Korean Journal of Microbiology
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    • v.41 no.3
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    • pp.195-200
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    • 2005
  • Comamonas sp. strain DJ-12 is a bacterial isolate capable of degrading of 4-chlorobiphenyl (4CB) as a carbon and energy source. The degradation pathway was characterized as being conducted by consecutive reactions of the meta-degradation of 4CB, hydrolytic dechlorination of 4-chlorobenzoate (4CBA), hydroxylation of 4-hydroxybenzoate, and meta-degradation of protocatechuate to product TCA metabolites. The 6.8 kb fragment from the chromosomal DNA of Comamonas sp. strain DJ-12 included the genes encoding for the meta-degradation of PCA; the genes of protocatechuate 4,5-dioxygenase alpha and beta subunits (pmcA and pmcB), 4-carboxy-2-hydroxymuconate-6-semialdehyde dehydrogenase (pmcC), 2-pyrone-4,6-dicarboxylate hydrolase (pmcD), 4-oxalomesaconate (OMA) hydratase(pmcE), 4-oxalocitramalate (OCM) aldolase (pmcF), and transporter gene (pmcT). They were organized in the order of pmcT-pmcE-pmcF-pmcD-pmcA-pmcB-pmcC. The amino acid sequences deduced from the nucleotide sequences of pmcABCDEFT genes from Comamonas sp. strain DJ-12 exhibited 94 to $98\%$ homologies with those of Comamonas testosteroni BR6020 and Pseudomonas ochraceae NGJ1, but only 52 to $74\%$ with homologies Sphingomonas paucimobilis SYK-6, Sphingomonas sp. LB126, and Arthrobacter keyseri 12B.

ffect of Semen Perillae herbal acupuncture on the type 1 hypersensitivity (소자약침(蘇子藥鍼)이 Type 1 Hypersensitivity에 미치는 영향)

  • Song, Se-Hoon;Song, Choon-Ho
    • Korean Journal of Acupuncture
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    • v.25 no.1
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    • pp.213-227
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    • 2008
  • Objectives : We studied on anti-allergic effects of Semen Perillae Herbal Acupuncture(SPHA) and Semen Perillae Herbal Acupuncture Solution(SP). Methods : In vivo, Animals were herbal-acupunctured SPHA at both ST36 three times for 5 days. Then, we investigated compound 48/80-induced active systemic anaphylaxis (ASA) using ICR mice and anti-DNP IgE-induced passive cutaneous anaphylaxis (PCA) using Sprague Dawley rat. In vitro, we measured cell viability, b-hexosaminidase release, IL-4 and TNF-a from RBL-2H3 cells after treatment of SP of various concentrations. Results : In vivo, SPHA pretreatments at both ST36 inhibited compound 48/80-induced ASA. PCA was inhibited by SPHA pretreatments at both ST36 and optional points. In vitro, SP treatments were not affect on cell viability and inhibited b-hexosaminidase release, IL-4 and TNF-a. Conclusions : These results suggest that SPHA and SP may be beneficial in the inhibition of allergic inflammatory response.

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Glasses Removal from Facial Images with Recursive PCA Reconstruction (반복적인 PCA 재구성을 이용한 얼굴 영상에서의 안경 제거)

  • 오유화;안상철;김형곤;김익재;이성환
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.41 no.3
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    • pp.35-49
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    • 2004
  • This paper proposes a new glasses removal method from color frontal facial image to generate gray glassless facial image. The proposed method is based on recursive PCA reconstruction. For the generation of glassless images, the occluded region by glasses should be found, and a good reconstructed image to compensate with should be obtained. The recursive PCA reconstruction Provides us with both of them simultaneously, and finally produces glassless facial images. This paper shows the effectiveness of the proposed method by some experimental results. We believe that this method can be applied to removing other type of occlusion than the glasses with some modification and enhancing the performance of a face recognition system.

The Embodiment of the Real-Time Face Recognition System Using PCA-based LDA Mixture Algorithm (PCA 기반 LDA 혼합 알고리즘을 이용한 실시간 얼굴인식 시스템 구현)

  • 장혜경;오선문;강대성
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.41 no.4
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    • pp.45-50
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    • 2004
  • In this paper, we propose a new PCA-based LDA Mixture Algorithm(PLMA) for real-time face recognition system. This system greatly consists of the two parts: 1) face extraction part; 2) face recognition part. In the face extraction part we applied subtraction image, color filtering, eyes and mouth region detection, and normalization method, and in the face recognition part we used the method mixing PCA and LDA in extracted face candidate region images. The existing recognition system using only PCA showed low recognition rates, and it is hard in the recognition system using only LDA to apply LDA to the input images as it is when the number of image pixels ire small as compared with the training set. To overcome these shortcomings, we reduced dimension as we apply PCA to the normalized images, and apply LDA to the compressed images, therefore it is possible for us to do real-time recognition, and we are also capable of improving recognition rates. We have experimented using self-organized DAUface database to evaluate the performance of the proposed system. The experimental results show that the proposed method outperform PCA, LDA and ICA method within the framework of recognition accuracy.

PCA-Based MPEG Video Retrieval in Compressed Domain (PCA에 기반한 압축영역에서의 MPEG Video 검색기법)

  • 이경화;강대성
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.40 no.1
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    • pp.28-33
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    • 2003
  • This paper proposes a database index and retrieval method using the PCA(Principal Component Analysis). We perform a scene change detection and key frame extraction from the DC Image constructed by DCT DC coefficients in the compressed video stream that is video compression standard such as MPEG. In the extracted key frame, we use the PCA, then we can make codebook that has a statistical data as a codeword, which is saved as a database index. We also provide retrieval image that are similar to user's query image in a video database. As a result of experiments, we confirmed that the proposed method clearly showed superior performance in video retrieval and reduced computation time and memory space.

Metabolic Profiling and Biological Activities of Bioactive Compounds Produced by Pseudomonas sp. Strain ICTB-745 Isolated from Ladakh, India

  • Kama, Ahmed;Shaik, Anver Basha;Kumar, C. Ganesh;Mongolla, Poornima;Rani, P. Usha;Krishna, K.V.S. Rama;Mamidyala, Suman Kumar;Joseph, Joveeta
    • Journal of Microbiology and Biotechnology
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    • v.22 no.1
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    • pp.69-79
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    • 2012
  • In an ongoing survey of the bioactive potential of microorganisms from Ladakh, India, the culture medium of a bacterial strain of a new Pseudomonas sp., strain ICTB-745, isolated from an alkaline soil sample collected from Leh, Ladakh, India, was found to contain metabolites that exhibited broad-spectrum antimicrobial and biosurfactant activities. Bioactivity-guided purification resulted in the isolation of four bioactive compounds. Their chemical structures were elucidated by $^1H$ and $^{13}C$ NMR, 2D-NMR (HMBC, HSQC, $^1H$,$^1H$-COSY, and DEPT-135), FT-IR, and mass spectroscopic methods, and were identified as 1-hydroxyphenazine, phenazine-1-carboxylic acid (PCA), rhamnolipid-1 (RL-1), and rhamnolipid-2 (RL-2). These metabolites exhibited various biological activities like antimicrobial and efficient cytotoxic potencies against different human tumor cell lines such as HeLa, HepG2, A549, and MDA MB 231. RL-1 and RL-2 exhibited a dose-dependent antifeedant activity against Spodoptera litura, producing about 82.06% and 73.66% antifeedant activity, whereas PCA showed a moderate antifeedant activity (63.67%) at 60 ${\mu}g/cm^2$ area of castor leaf. Furthermore, PCA, RL-1, and RL-2 exhibited about 65%, 52%, and 47% mortality, respectively, against Rhyzopertha dominica at 20 ${\mu}g/ml$. This is the first report of rhamnolipids as antifeedant metabolites against Spodoptera litura and as insecticidal metabolites against Rhyzopertha dominica. The metabolites from Pseudomonas sp. strain ICTB-745 have interesting potential for use as a biopesticide in pest control programs.