• Title/Summary/Keyword: Bio-vector

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Bio-vector Generation Framework for Smart Healthcare

  • Shin, Yoon-Hwan
    • Journal of the Korea Society of Computer and Information
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    • v.21 no.1
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    • pp.107-113
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    • 2016
  • In this paper, by managing the biometric data is changed with the passage of time, a systematic and scientifically propose a framework to increase the bio-vector generation efficiency of the smart health care. Increasing the development of human life as a medicine and has emerged smart health care according to this. Organic and efficient health management becomes possible to generate a vector when the biological domain to the wireless communication infrastructure based on the measurement of the health status and to take action in accordance with the change of the physical condition. In this paper, we propose a framework to create a bio-vector that contains information about the current state of health of the person. In the proposed framework, Bio vectors may be generated by collecting the biometric data such as blood pressure, pulse, body weight. Biometric data is the raw data from the bio-vector. The scope of the primary data can be set to active. As the collecting biometric data from multiple items of the bio-recognition vectors may increase. The resulting bio-vector is used as a measure to determine the current health of the person. Bio-vector generating the proposed framework, it can aid in the efficiency and systemic health of healthcare for the individual.

Expression of Bacillus macerans Cyclodextrin Glucanotransferase in Bacillus subtilis

  • Kim, Chang-Sup;Han, Nam-Soo;Kweon, Dae-Hyuk;Seo, Jin-Ho
    • Journal of Microbiology and Biotechnology
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    • v.9 no.2
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    • pp.230-233
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    • 1999
  • A plasmid vector was constructed for the expression and secretion of Bacillus macerans cyclodextrin glucanotransferase (CGTase) in Bacillus subtilis. The vector, pUBACGT, was composed of the ribosome-binding sequence, signal sequence, and cgt gene from B. macerans under the control of amyR2, the promoter of amyE gene coding for $\alpha$-amylase from B. subtilis var. natto. Bacillus subtilis LKS88, a mutant strain lacking genes for an amylase and two proteases, was used as a host for the transformation of the plasmid vector. The transformants were selected on kanamycin-containing Luria-Bertani plates. The starch hydrolyzing activity was observed on the starch-containing plates by the iodine method and cyclodextrin-forming activity was detected in the culture medium. A SDS-PAGE analysis showed that most of the expressed CGTase in the recombinant B. subtilis was secreted into the medium at a high expression level.

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Bacillus subtilis as a Tool for Screening Soil Metagenomic Libraries for Antimicrobial Activities

  • Biver, Sophie;Steels, Sebastien;Portetelle, Daniel;Vandenbol, Micheline
    • Journal of Microbiology and Biotechnology
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    • v.23 no.6
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    • pp.850-855
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    • 2013
  • Finding new antimicrobial activities by functional metagenomics has been shown to depend on the heterologous host used to express the foreign DNA. Therefore, efforts are devoted to developing new tools for constructing metagenomic libraries in shuttle vectors replicatable in phylogenetically distinct hosts. Here we evaluated the use of the Escherichia coli-Bacillus subtilis shuttle vector pHT01 to construct a forest-soil metagenomic library. This library was screened in both hosts for antimicrobial activities against four opportunistic bacteria: Proteus vulgaris, Bacillus cereus, Staphylococcus epidermidis, and Micrococcus luteus. A new antibacterial activity against B. cereus was found upon screening in B. subtilis. The new antimicrobial agent, sensitive to proteinase K, was not active when the corresponding DNA fragment was expressed in E. coli. Our results validate the use of pHT01 as a shuttle vector and B. subtilis as a host to isolate new activities by functional metagenomics.

Construction of a Hexapeptide Library using Phage Display for Bio-panning

  • Cho, Won-Hee;Yoo, Seung-Ku
    • Journal of Microbiology
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    • v.37 no.2
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    • pp.97-101
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    • 1999
  • Random hexapeptide library on the surface of filamentous bacteriophage was constructed using the SurfZAP vector. The size of the library was approximately 105. The peptide insert was flanked by two cysteines to constrain the peptide structure with a disulfide bond. This library was screened for the topoisomerase II binding peptide. Dramatic enrichment of the fusion phage over the VCS M13 helper phage was demonstrated by bio-panning affinity selection.

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The Optimization for Functional Expression of Arabidopsis Thaliana AtPIP2-1 in Xenopus laevis Oocyte (Xenopus oocyte에서 애기장대 AtPIP2-1 활성측정을 위한 발현 최적화 조건 규명)

  • Kim, Hyun-Mi;Hwang, Hyun-Sik;Lee, Suk-Chan;Jo, Su-Hyun;Kim, Beom-Gi
    • Journal of Applied Biological Chemistry
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    • v.53 no.4
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    • pp.189-194
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    • 2010
  • We confirmed the hypo-osmotic shock strengths and duration, different type of vectors, and subcelluar localization to identify the optimum analysis condition of plant aquaporin activity in Xenopus ooctye using Arabidopsis thaliana AtPIP2-1 gene. Six minutes and 1/5ND buffer hypoosmotic shock treatment was the best condition to show the maximum swelling of Xenopus oocytes where AtPIP2-1 was expressed using pcDNA3.1 vector. AtPIP2-1 protein was expressed more efficiently in pGEMHE vector which has 5' and 3' UTR (untranslation region) of Xenopus ${\beta}$-GLOBIN gene in multiple cloning site than in pcDNA3.1 vector. Also green fluorescence of GFP fused to AtPIP2-1 was detected onto oocyte plasmamembrane where is the proper subcellular localization target of AtPIP2-1.

The Study of Bio Emotion Cognition follow Stress Index Number by Multiplex SVM Algorithm (다중 SVM 알고리즘을 이용한 스트레스 지수에 따른 생체 감성 인식에 관한 연구)

  • Kim, Tae-Yeun;Seo, Dae-Woong;Bae, Sang-Hyun
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.5 no.1
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    • pp.45-51
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    • 2012
  • In this paper, it's a system which recognize the user's emotions after obtaining the biological informations(pulse sensor, blood pressure sensor, blood sugar sensor etc.) about user's bio informations through wireless sensors in accordance of previously collected informations about user's stress index and classification the Colors & Music. This system collects the inputs, saves in the database and finally, classifies emotions according to the stress quotient by using multiple SVM(Support Vector Machine) algorithm. The experiment of multiple SVM algorithm was conducted by using 2,000 data sets. The experiment has approximately 87.7% accuracy.

STABILITY OF A DISULFIDE BOND OF CHIMERIC PEPTIDE DURING IN VIVO TRANSCYTOSIS THROUGH THE BRAIN ENDOTHELIAL CELLS

  • Kang, Young-Sook;Ulrich Bickel
    • Proceedings of the Korean Society of Applied Pharmacology
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    • 1998.11a
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    • pp.150-151
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    • 1998
  • Drug delivery to the brain is facilitated by the synthesis of chimeric peptides, where in neuropharmaceuticals are linked to a vector such as an antibody to the transferrin receptor that mediates transcytosis through the blood-brain barrier (BBB). When disulfide linkers are used in the chimeric peptide, it is crucial that the S-S bridge is stable during transit and that cleavage does not occur prematurely within endothelial cells, as the peptide drug moiety would then be sequestered by the BBB instead of passing through it. The present study addressed that problem. As a model drug a metabolically stable opioid peptide, [$^3$H]DALDA (Tyr-dArg-Phe-Lys-NH$_2$), was used. It was monobiotinylated with NHS-SS-biotin to yield bio-[$^3$H]DALDA. The biotinylated peptide was bound to the vector OX26-SA which is a covalent conjugate of OX26 and streptavidin (molar ratio = 1: 1). In vitro treatment of the chimeric peptide, bio-[$^3$H]DALDA/OX26-SA, with a reducing agent, dithiothreitol, released the labeled peptide from the vector by conversion of bio-[$^3$H]DALDA to the desbiotinylated derivative, desbio-[$^3$H]DALDA.

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A New Support Vector Machines for Classifying Uncertain Data (불완전 데이터의 패턴 분석을 위한 $_{MI}$SVMs)

  • Kiyoung, Lee;Dae-Won, Kim;Doheon, Lee;Kwang H., Lee
    • Proceedings of the Korean Information Science Society Conference
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    • 2004.10b
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    • pp.703-705
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    • 2004
  • Conventional support vector machines (SVMs) find optimal hyperplanes that have maximal margins by treating all data equivalently. In the real world, however, the data within a data set may differ in degree of uncertainty or importance due to noise, inaccuracies or missing values in the data. Hence, if all data are treated as equivalent, without considering such differences, the optimal hyperplanes identified are likely to be less optimal. In this paper, to more accurately identify the optimal hyperplane in a given uncertain data set, we propose a membership-induced distance from a hyperplane using membership values, and formulate three kinds of membership-induced SVMs.

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Biological Synthesis of 7-O-Methyl Apigenin from Naringenin Using Escherichia coli Expressing Two Genes

  • Jeon, Young-Min;Kim, Bong-Gyu;Ahn, Joong-Hoon
    • Journal of Microbiology and Biotechnology
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    • v.19 no.5
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    • pp.491-494
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    • 2009
  • Within the secondary metabolite class of flavonoids, which consist of more than 10,000 known structures, flavones define one of the largest subgroups. The diverse function of flavones in plants as well as their various roles in the interaction with other organisms offers many potential applications including in human nutrition and pharmacology. We used two genes, flavone synthase (PFNS-l) that converts naringenin into apigenin and flavone 7-O-methyltransferase (POMT-7) that converts apigenin into 7-O-methyl apigenin, to synthesize 7-O-methyl apigenenin from naringenin. The PFNS-l gene was subcloned into the E. coli expression vector pGEX and POMT-7 was subcloned into the pRSF vector. Since both constructs contain different replication origins and selection markers, they were cotransformed into E. coli. Using E. coli transformants harboring both PFNS-l and POMT-7, naringenin could be converted into 7-O-methyl apigenin, genkwanin.

Tribological Properties and Friction Coefficient Prediction Model of 200μm Surfaces Micro-Textured on AISI 4140 in Soybean Crusher (콩 분쇄기의 AISI 4140에서 200μm 미세 패턴 표면의 마찰 계수 및 마찰 계수 예측 모델)

  • Choi, Wonsik;Pratama, Pandu Sandi;Supeno, Destiani;Byun, Jaeyoung;Lee, Ensuk;Woo, Jihee;Yang, Jiung;Keefe, Dimas Harris Sean;Chrysta, Maynanda Brigita;Okechukwu, Nicholas Nnaemeka;Lee, Kangsam
    • Journal of the Korean Society of Industry Convergence
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    • v.21 no.5
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    • pp.247-255
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    • 2018
  • In this research, the effect of normal load, sliding velocity, and texture density on thefriction coefficient of surfaces micro-textured on AISI 4140 under paraffin oil lubrication were investigated. The predicted tribological behavior by numerical calculation can be serves as guidance for the designer during the machine development stage. Therefore, in this research friction coefficient prediction model based on response surface methodology (RSM), support vector machine (SVM), and artificial neural network (ANN) were developed. The experimental result shows that the variation of load, speed and texture density were influence the friction coefficient. The RSM, ANN and SVM model was successfully developed based on the experimental data. The ANN model can effectively predict the tribological characteristics of micro-textured AISI 4140 in paraffin oil lubrication condition compare to RSM and SVM.