• 제목/요약/키워드: auxiliary agent

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Antitumor Activity of the Novel Human Cytokine AIMP1 in an in vivo Tumor Model

  • Lee, Yeon-Sook;Han, Jung Min;Kang, Taehee;Park, Young In;Kim, Hwan Mook;Kim, Sunghoon
    • Molecules and Cells
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    • v.21 no.2
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    • pp.213-217
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    • 2006
  • Although AIMP1 (previously known as p43) is one of three auxiliary proteins bound to a macromolecular aminoacyl tRNA complex, it is also secreted as a cytokine controlling both angiogenesis and immune responses. Here we show that systemically administered purified recombinant human AIMP1 had anti-tumor activity in mouse xenograft models. In Meth A-bearing Balb/c mice, tumor volume increased about 28 fold in the vehicle treatment group, while an increase of about 16.7 fold was observed in the AIMP1-treated group. We also evaluated the anti-tumor activity of AIMP1 in combination with a sub-clinical dose of the cytotoxic anti-tumor drug, paclitaxel. The growth of NUGC-3 human stomach cancer cells was suppressed by 84% and 94% by the combinations of 5 mg/kg paclitaxel + 25 mg/kg AIMP1 (p = 0.03), and 5 mg/kg paclitaxel + 50 mg/kg AIMP1 (p = 0.02), respectively, while 5 mg/kg paclitaxel alone suppressed growth by only 54% (p = 0.02). A similar cooperative effect of AIMP1 and paclitaxel was observed in a lung cancer xenograft model. These results suggest that AIMP1 may be useful as a novel anti-tumor agent.

A Study on the Electrochemical Synthesis of L-DOPA Using Oxidoreductase Enzymes: Optimization of an Electrochemical Process

  • Rahman, Siti Fauziyah;Gobikrishnan, Sriramulu;Indrawan, Natarianto;Park, Seok-Hwan;Park, Jae-Hee;Min, Kyoungseon;Yoo, Young Je;Park, Don-Hee
    • Journal of Microbiology and Biotechnology
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    • v.22 no.10
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    • pp.1446-1451
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    • 2012
  • Levodopa or L-3,4-dihydroxyphenylalanine (L-DOPA) is the precursor of the neurotransmitter dopamine. L-DOPA is a famous treatment for Parkinson's disease symptoms. In this study, electroenzymatic synthesis of L-DOPA was performed in a three-electrode cell, comprising a Ag/AgCl reference electrode, a platinum wire auxiliary electrode, and a glassy carbon working electrode. L-DOPA had an oxidation peak at 376 mV and a reduction peak at -550 mV. The optimum conditions of pH, temperature, and amount of free tyrosinase enzyme were pH 7, $30^{\circ}C$, and 250 IU, respectively. The kinetic constant of the free tyrosinase enzyme was found for both cresolase and catacholase activity to be 0.25 and 0.4 mM, respectively. A cyclic voltammogram was used to investigate the electron transfer rate constant. The mean heterogeneous electron transfer rate ($k_e$) was $5.8{\times}10^{-4}$ cm/s. The results suggest that the electroenzymatic method could be an alternative way to produce L-DOPA without the use of a reducing agent such as ascorbic acid.

A slide reinforcement learning for the consensus of a multi-agents system (다중 에이전트 시스템의 컨센서스를 위한 슬라이딩 기법 강화학습)

  • Yang, Janghoon
    • Journal of Advanced Navigation Technology
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    • v.26 no.4
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    • pp.226-234
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    • 2022
  • With advances in autonomous vehicles and networked control, there is a growing interest in the consensus control of a multi-agents system to control multi-agents with distributed control beyond the control of a single agent. Since consensus control is a distributed control, it is bound to have delay in a practical system. In addition, it is often difficult to have a very accurate mathematical model for a system. Even though a reinforcement learning (RL) method was developed to deal with these issues, it often experiences slow convergence in the presence of large uncertainties. Thus, we propose a slide RL which combines the sliding mode control with RL to be robust to the uncertainties. The structure of a sliding mode control is introduced to the action in RL while an auxiliary sliding variable is included in the state information. Numerical simulation results show that the slide RL provides comparable performance to the model-based consensus control in the presence of unknown time-varying delay and disturbance while outperforming existing state-of-the-art RL-based consensus algorithms.

Effects of Diols on the foaming and emulsion properties in surfactant solutions

  • Lee, Giam;Oh, Seong-Geun
    • Journal of the Korean Applied Science and Technology
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    • v.39 no.4
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    • pp.488-498
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    • 2022
  • The effects of 1,3-Butanediol, 1,2-Pentanediol, and 1,2-Hexanediol in surfactant solutions on cmc, surface tension, foaming and emulsifying properties were determined. The addition of diols in aqueous surfactant solution decreased cmc and surface tension, and enhanced the foaming and emulsifying power. This trend is more significant by the longer hydrocarbon chain length of the diols. This property was confirmed because the diol's alkyl chain and the hydrophobic interaction with the surfactant reduce the cohesive force of water and increase the interaction between the head groups of the surfactant at interface. In addition, MIC test was conducted to determine the preservative power of each diol, and as a result, the antibacterial activity was effective in the order of 1,2-HDO > 1,2-PDO > 1,3-BDO. The results of this study show that diol can be applied to cosmetics as an auxiliary surfactant and antibacterial agent.

Multi-Object Goal Visual Navigation Based on Multimodal Context Fusion (멀티모달 맥락정보 융합에 기초한 다중 물체 목표 시각적 탐색 이동)

  • Jeong Hyun Choi;In Cheol Kim
    • KIPS Transactions on Software and Data Engineering
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    • v.12 no.9
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    • pp.407-418
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    • 2023
  • The Multi-Object Goal Visual Navigation(MultiOn) is a visual navigation task in which an agent must visit to multiple object goals in an unknown indoor environment in a given order. Existing models for the MultiOn task suffer from the limitation that they cannot utilize an integrated view of multimodal context because use only a unimodal context map. To overcome this limitation, in this paper, we propose a novel deep neural network-based agent model for MultiOn task. The proposed model, MCFMO, uses a multimodal context map, containing visual appearance features, semantic features of environmental objects, and goal object features. Moreover, the proposed model effectively fuses these three heterogeneous features into a global multimodal context map by using a point-wise convolutional neural network module. Lastly, the proposed model adopts an auxiliary task learning module to predict the observation status, goal direction and the goal distance, which can guide to learn the navigational policy efficiently. Conducting various quantitative and qualitative experiments using the Habitat-Matterport3D simulation environment and scene dataset, we demonstrate the superiority of the proposed model.

Property and Bio-adhesiveness in Hydrogel Material with Content of Ketorolac and Gardeniae Fructus Hydrolysis Products (케토롤락과 치자엑스 가수분해물이 함유된 하이드로겔제의 물성 및 생체 부착성)

  • Kim, Mi-Jeong
    • Journal of dental hygiene science
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    • v.10 no.2
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    • pp.79-83
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    • 2010
  • This study manufactured hydrogel, which was contained NSAIDs(non-steroidal anti-inflammatory drugs) Ketorolac tromethamine and hydrolyzed products of gardeniae fructus extract, and experimented viscosity, surface tension, tensile strength and bio-adhesiveness by using hairless mouse. Thus, it was performed in expectation for being probably able to develop as effective auxiliary agent of periodontal disease after non-surgical or surgical periodontal treatment. As a result, the following conclusions were obtained. 1. Out of KGE and KGH gel materials, the content of ketorolac tromethamine was 1.02~0.97%. The content of geniposide was 0.34% in KGE gel A and C. However, it got lower to 0.11% in KGH gel B and D. The content of genipin wasn't shown in KGE gel A and C, but was shown with 0.13% in KGH gel B and D. 2. As for viscosity according to temperature in gel material, the gel, which used independently Carbopol 940 as gel inoculant, maintained the higher viscosity than the gel, which added Poloxamer 407. The surface tension in each material showed 34.77~40.58 dyne/cm at 37. As for tensile strength in material, KGH gel B was shown the higher tensile strength in about 3.5 times compared to the control group. 3. As for bio-adhesiveness, the back-skin upper part(epidermis) and abdomen skin were shown to be 50.62 N in KGH gel B, thereby having indicated higher value in about 5 times compared to control group. The back-skin lower part(dermis) and abdomen skin were shown to be 35.93 N in KGH gel B, thereby having indicated higher value in about 3.5 times compared to control group.

NDP-sugar production and glycosylation of ${\varepsilon}$-rhodomycinone in Streptomyces venezuelae (Streptomyces Peucetius에서의 ${\varepsilon}$-rhodomycinone 추출 및 이종균주에서의 rhodomycin D 생산 연구)

  • Park, Sung-Hee;Cha, Min-Ho;Kim, Eun-Jung;Yoon, Yeo-Joon;Sohng, Jae-Kyung;Lee, Hee-Chan;Liou, Kwang-Kyoung;Kim, Byung-Gee
    • KSBB Journal
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    • v.23 no.1
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    • pp.44-47
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    • 2008
  • Anthracycline antibiotics doxorubicin (DXR) is clinically important cancer therapeutic agent produced by Streptomyces peucetius. DXR result by further metabolism of rhodomycin D (RHOD) and require a deoxy-sugar component for their biological activity. In this study, production of TDP-L-daunosamine and its attachment to ${\varepsilon}$-rhodomycinone (RHO) to generate RHOD has been achieved by bioconversion in Streptomyces venezuelae that bears eleven genes. S. peucetius seven genes (dnmUTJVZQS) were transformed by plasmid and S. venezuelae two genes desIII, IV and two more S. peucetius drrA, B genes were integrated into chromosomal DNA. To generate the feeding substrate RHO, 6L S. peucetius grown on agar plate was harvested, extracted with organic solvent and then purified using preparative HPLC. Recombinant S. venezuelae grown on agar plate containing RHO was harvested and its n-butanol soluble components were extracted. The glycosylated product of aromatic polyketide RHO using heterologous host S. venezuelae presents the minimal information for TDP-L-daunosamine biosynthesis and its attachment onto aglycone. Moreover, the structure of auxiliary protein, DnrQ, was predicted by fold recognition and homology modeling in this study. This is a general approach to further expand of new glycosides of antitumor anthracycline antibiotics.