• Title/Summary/Keyword: Drug Processing

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Study on The Drug Processing of Aconiti Root(天雄) (천웅(天雄)의 포제에 관하여)

  • Choi Jung-Hyun;Jung Byung-Ha;Seong Man-Jun;Kwon Dong-Yeul
    • Herbal Formula Science
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    • v.12 no.1
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    • pp.123-130
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    • 2004
  • Aconiti Root(AR), has been used for about 2000 years, since recorded for low grade in 'Shinnongbonchokyung(Divine Husbandman's Herbal Foundation canon)'. It also recorded for Poisonous Drug in 'Myunguibyullok', 'Yaksungron', etc, and they advised when the AR is using for clinical desease it has to be processed. There are more than 13 processing methods, in records that related 39 parts which is recorded in ancient documents. In China, there are no standard of herb that using for clinical, cause of the traditional processing methods was cut since 1960s. In these days, they are using AR that recorded in Aconiti Tuber part of the processing records, in Guangdong and Shantung. In addition, the modification of Processed Aconiti Root(PAR) is also used for goods in Hongkong, Macao, and Southeast Asia. We studied the PAR for enhancing the importance of it, and multiply using. In this study, we search for the history of processing of AR, traditional theories of processing and clinical adaptation.

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The bibliographical study on drug-processing about Pyritum (자연동(自然銅)의 수치법(修治法)에 대한 문헌적(文獻的) 고찰(考察))

  • Min, Pyoung-gee;Seo, Young-bae
    • Journal of Haehwa Medicine
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    • v.10 no.1
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    • pp.47-53
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    • 2001
  • In the result of investigating traditional chinese medical literatures to understand drug-processing about Pyritum, we could reach conclusions as follows: 1. Pyritum are divided into fresh Pyritum, calcining Pyritum, tempered Pyritum with vinegar by methods of drug-processing. 2. The methods of drug-procession about Pyritum like calcination, quenching, refining drugs with water or medicinal broth of Glycyrrhizae Radix(licorice), boiling with medicinal broth of Glycyrrhizae Radix(licorice) were used complicately. 3. Calcining Pyritum are grinded easily, convenient to apply a pill and powder and As, S are easily removed. Quenching Pyritum act on liver channel and then are reinforced the effects of relieving blood stasis, Pain and gushed out effecive ingredients. Refining Pyritum with water are reinforced the effect of tranquilizing the mind and clearing heat. above results indicates that using calcination, quenching and refining drugs with water together is the best method of drug-processing about Pyritum.

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A quantitative method for detecting meat contamination based on specific polypeptides

  • Feng, Chaoyan;Xu, Daokun;Liu, Zhen;Hu, Wenyan;Yang, Jun;Li, Chunbao
    • Animal Bioscience
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    • v.34 no.9
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    • pp.1532-1543
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    • 2021
  • Objective: This study was aimed to establish a quantitative detection method for meat contamination based on specific polypeptides. Methods: Thermally stable peptides with good responses were screened by high resolution liquid chromatography tandem mass spectrometry. Standard curves of specific polypeptide were established by triple quadrupole mass spectrometry. Finally, the adulteration of commercial samples was detected according to the standard curve. Results: Fifteen thermally stable peptides with good responses were screened. The selected specific peptides can be detected stably in raw meat and deep processed meat with the detection limit up to 1% and have a good linear relationship with the corresponding muscle composition. Conclusion: This method can be effectively used for quantitative analysis of commercial samples.

Drug-Drug interaction predicting deep learning model using CTET protein of drugs (CTET Protein 을 사용한 Drug-Drug interaction 예측 Deep Learning Model)

  • Seo, Jiwon;Ko, Younhee
    • Proceedings of the Korea Information Processing Society Conference
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    • 2022.11a
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    • pp.63-65
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    • 2022
  • DDI(Drug-Drug Interaction)는 병원에서 발생하는 약물이상반응의 30%를 유발하는 부작용이지만, 현실적으로 모든 약물쌍의 DDI 를 기존 in vivo, in vitro 방식으로 예측하는 것은 불가능하다. 그렇기에, 다양한 in silico 방식의 DDI 예측 모델이 연구되고 있다. 본 연구에서는, 단백질 네트워크 상에서 RWR(Random Walk with Restart) 알고리즘을 통해 약물과 직접적으로 상호작용하는 단백질과 간접적으로 상호작용하는 단백질의 정보를 사용하여 DDI 를 예측하는 모델을 개발하였다. 이 모델을 통하여 기존에 발견하지 못한 DDI 를 새롭게 발견하고, 신약 개발 시에도, 신약과 함께 복용 시 문제를 일으킬 수 있는 약물을 예측하여 약물 이상반응을 방지하고자 한다.

Total Diet Studies as a Tool for Ensuring Food Safety

  • Lee, Joon-Goo;Kim, Sheen-Hee;Kim, Hae-Jung;Yoon, Hae-Jung
    • Toxicological Research
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    • v.31 no.3
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    • pp.221-226
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    • 2015
  • With the diversification and internationalization of the food industry and the increased focus on health from a majority of consumers, food safety policies are being implemented based on scientific evidence. Risk analysis represents the most useful scientific approach for making food safety decisions. Total diet study (TDS) is often used as a risk assessment tool to evaluate exposure to hazardous elements. Many countries perform TDSs to screen for chemicals in foods and analyze exposure trends to hazardous elements. TDSs differ from traditional food monitoring in two major aspects: chemicals are analyzed in food in the form in which it will be consumed and it is cost-effective in analyzing composite samples after processing multiple ingredients together. In Korea, TDSs have been conducted to estimate dietary intakes of heavy metals, pesticides, mycotoxins, persistent organic pollutants, and processing contaminants. TDSs need to be carried out periodically to ensure food safety.

Studies for the Processing Factors of Pesticides during the Milling of Wheat Grain (밀의 제분에 따른 밀가루 중 농약 가공계수 산출 연구)

  • Park, So-Young;Park, Kun-Sang;Im, Moo-Hyeog;Choi, Hoon;Chang, Moon-Ik;Kwon, Chan-Hyeok;Kim, Sun-Gu;Lee, Hyo-Ku;Hong, Moo-Ki;Shim, Jae-Han;Kim, Jeong-Han
    • The Korean Journal of Pesticide Science
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    • v.13 no.2
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    • pp.70-78
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    • 2009
  • Processing factors of pesticides in milling process of wheat grain, which are consumed and imported at large quantity were examined to establish reasonable MRL of the processed food. Azinphos-methyl, chlorpyrifos, chlorpyrifos-methyl, fenitrothion, malathion, and trichlorfon were selected for the study according to annual usage and the previous detection record in wheat grain. Dipping process for pesticide application was performed in laboratory, while milling process was conducted under pilot plant system. Processing factors were calculated by analyzing residual pesticides on wheat grain and processing products as wheat flour, bran and red dog. Processing factors were 0.05 for azinphos-methyl, 0.06 for chlorpyrifos, 0.05 for chlorpyrifos-methyl, 0.07 for fenitrothion, 0.07 for malathion, 0.06 for trichlorfon, respectively. Recovery test was also performed to establish extraction efficiency of analytical procedure. The recovery value ranged from 93.2% to 98.6% with standard deviation of 0.1-0.9%.

PharmacoNER Tagger: a deep learning-based tool for automatically finding chemicals and drugs in Spanish medical texts

  • Armengol-Estape, Jordi;Soares, Felipe;Marimon, Montserrat;Krallinger, Martin
    • Genomics & Informatics
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    • v.17 no.2
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    • pp.15.1-15.7
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    • 2019
  • Automatically detecting mentions of pharmaceutical drugs and chemical substances is key for the subsequent extraction of relations of chemicals with other biomedical entities such as genes, proteins, diseases, adverse reactions or symptoms. The identification of drug mentions is also a prior step for complex event types such as drug dosage recognition, duration of medical treatments or drug repurposing. Formally, this task is known as named entity recognition (NER), meaning automatically identifying mentions of predefined entities of interest in running text. In the domain of medical texts, for chemical entity recognition (CER), techniques based on hand-crafted rules and graph-based models can provide adequate performance. In the recent years, the field of natural language processing has mainly pivoted to deep learning and state-of-the-art results for most tasks involving natural language are usually obtained with artificial neural networks. Competitive resources for drug name recognition in English medical texts are already available and heavily used, while for other languages such as Spanish these tools, although clearly needed were missing. In this work, we adapt an existing neural NER system, NeuroNER, to the particular domain of Spanish clinical case texts, and extend the neural network to be able to take into account additional features apart from the plain text. NeuroNER can be considered a competitive baseline system for Spanish drug and CER promoted by the Spanish national plan for the advancement of language technologies (Plan TL).

Identification of irradiated soybean with different processing and origin (대두의 가공특성 및 원산지별 조사처리 판별 연구)

  • Jung, Yoo-Kyung;Lee, Hye-Jin;Lee, Ji-Yeon;Choi, Jang-Duck;Kwon, Ki-Sung
    • Korean Journal of Food Science and Technology
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    • v.49 no.3
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    • pp.252-257
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    • 2017
  • In this study, the physicochemical properties of irradiated (gamma-ray and electron-beam) soybeans with different processing (dry and powder) and origins (Korea, China, and USA) were investigated and compared. The results of photostimulated luminescence (PSL) screening indicated that all non-irradiated soybeans showed photon counts (PCs) ${\leq}700$, while all irradiated soybeans showed positive values-gamma-ray 5,815-39,591 count/min; electron beam 5,791-60,055 count/min. The results of thermoluminescence (TL) analysis of all irradiated soybeans indicated that the $TL_1$ glow curves exhibited maximum peaks at 150-250. TL ratio of irradiated samples was ${\geq}0.1$; therefore, the clear identification of irradiated samples was guaranteed by analysis of the $TL_1$ curve shape and TL ratios. The results of electron spin resonance (ESR) signal of 3 irradiated and dried soybeans showed two side peaks mutually spaced at 6.0 mT (cellulose radical). Non-specific signal was detected for all irradiated soybean powders; hence, ESR analysis could not be performed.

Analysis Method Development for Bound-MCPD (3-MCPD 지방산에스테르 분석법)

  • Woo, Sung-Min;Oh, Jae-Ho;Jang, Young-Mi;Kim, Mee-Hye
    • Journal of Food Hygiene and Safety
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    • v.25 no.4
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    • pp.294-302
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    • 2010
  • Toxicity of 3-MCPD that comes from food manufacture and processing is well-known. Recent studies reported that 3-MCPD fatty acid ester which is formed by metabolic material was 10~2000 times as much as 3-MCPD in food. This study made analysis method of 3-MCPD fatty acid esters by recent research and laboratory work, and determined the content of 3-MCPD and 3-MCPD fatty acid esters in sources and meat processing products. 3-MCPD fatty acid esters were analysed by GC/MS, which were hydrolyzed from fatty acid and then transferred 3-MCPD was extracted and reacted with derivative subject. As a result of analysis method validation, LOD was 5.4ppb, LOQ was 9.0ppb.

A Analysis of Medical Device Software Life Cycle Processes (의료용 소프트웨어생명주기 프로세스 분석)

  • Choi, Min-Yong;Kang, Young-Kyu;Hur, Chan-Hoi;Lee, Jeong-Rim;Park, Ki-Jung;Park, Hae-Dae;Lee, In-Soo;Kim, Hyeog-Ju
    • Proceedings of the Korea Information Processing Society Conference
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    • 2006.11a
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    • pp.571-574
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    • 2006
  • 2006년 5월 국제전기기술위원회(International Electrotechnical Commission, IEC) TC62(의료용전기기기기술위원회) SC62A(의료용전기기기 공통특성에 관한 세부분과위원회)에서 의료기기 소프트웨어의 생명주기 프로세스에 관한 국제규격인 IEC 62304, Ed.1을 제정하였다. 전체 내용은 크게 일반적인 요구사항(General requirements)과 소프트웨어 개발과 유지보수에 대한 프로세스(Software development & maintenance process)로 구성되어 있다. 그리고 소프트웨어 개발과 유지보수 프로세스가 진행되는 동안에 기본적으로 확보되어야 하는 소프트웨어 위험관리와 형상관리에 대한 프로세스 Software risk management & configuration management process)를 규정하고, 또한 문제 발생 시 이를 해결하기 위한 소프트웨어 문제 해결 프로세스(Software problem resolution process)를 규정하고 있다. 이는 기존의 정보통신 분야에서 사용되던 소프트웨어 생명주기 프로세스인 ISO/IEC 12207 규격과 외형상 많은 차이를 나타내고 있다. 이에 본 논문에서는 의료기기 소프트웨어의 생명주기 프로세스에 관한 국제규격인 IEC 652304를 분석하여 실제 의료용 소프트웨어 개발 및 유지보수 작업들이 어떠한 방식으로 이루어지는지를 분석하고, 또한 기존의 소프트웨어 생명주기 프로세스인 ISO/IEC 12207 규격과의 차이점을 비교 분석하여 본 규격에 대한 근본적인 활용 방안을 모색하고자 한다.

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