• 한국융합학회논문지
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• 제10권3호
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• pp.23-30
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• 2019

본 연구는 당뇨병 치료제 후보약물 정보를 이용하여 항당뇨에 영향을 미치는 물질구조를 발견하는데 목적이 있다. 정량적구조 활성관계를 이용한 기계 학습 모델을 만들고 부분최소자승 알고리즘을 통해 실험데이터 별로 결정계수를 파악한 후 변수중요도척도를 활용하여 주요 분자표현자를 도출하였다. 연구 결과, 후보약물 구조정보를 반영한 molecular access system fingerprint 데이터로 분석한 결과가 in vitro 데이터를 이용한 분석 결과보다 설명력이 높았으며, 항당뇨에 영향을 미치는 주요 분자표현자 역시 다양하게 도출할 수 있었다. 제안된 항당뇨 예측 및 주요인자 분석 방법을 활용한다면 유사한 과정을 반복 실험하는 기존 신약개발 방식과는 달리, 많은 비용과 시간이 소요되는 후보물질 스크리닝 (screening) 기간을 최소화하고, 신약개발 탐색기간도 단축하는 계기가 될 수 있을 것으로 기대한다.

• Clinical and Experimental Pediatrics
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• 제52권5호
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• pp.529-537
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• 2009

Drug-resistant tuberculosis in children has important implications for both the patients and tuberculosis control programs. In Korea, among all new patients, the isoniazid resistance rate was 9.9% and multidrug-resistant tuberculosis rate was 2.7% in 2004 (in patients aged 10-19 yr, the multidrug-resistant tuberculosis rate reached 2.1%). Tuberculosis in pediatric patients is difficult to diagnose because many children have nonspecific clinical signs and the detection rates of acid-fast bacilli smears and cultures are low. Therefore, every effort should be made to identify adult sources and obtain information on drug susceptibility because symptomatic adult patients have a higher chance of culture positivity and drug-susceptibility patterns are the same in most adult-child pair patients. Korean children are at significant risk of drug-resistant tuberculosis. As the isoniazid resistance rate is greater than 4% among the new cases in Korea, a four-drug regimen should be considered for initial treatment of children with active tuberculosis, unless drug-susceptibility test results are available. Treatment of drug-resistant tuberculosis in children is challenging and there are only few available data. Tuberculosis control programs should be continuous with specific focus on pediatric populations because they can serve as reservoirs for future active cases. Further studies are needed regarding treatment of drug-resistant tuberculosis in children.

• 혜화의학회지
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• 제9권1호
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• pp.691-710
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• 2000

We came to the conclusion after considering all the information from many kinds of book on herb medicine which is treatment method of "quickening blood and transforming stasis" for external wound. 1. Angelicae sinensis Radix and Angelicae Gigantis Radix are account for 16%(57times) of monarch drug and ministerial drug in all. It means that effect of "quickening blood and transforming stasis" of Angelicae sinensis Radix and Angelicae Gigantis Radix are more excellent than any other herb medicine. 2. In the case of the monarch drug, Angelicae sinensis Radix and Rhizoma Rhei are used at most, treatment method is divided into "expel stasis" and "quickening blood and transforming stasis". 3. In the case of the monarch drug, there are Dolomitum, Eupolyphaga, Dracinis Resina, Crinis Carbonisatus, Acronychiae Ligum, Pini Ramulus etc which have strong treatment effect and pecunliar sort. 4. In the case of the ministerial drug, there are Dracinis Resina, Brassica Rapa, Pyritunm, Liquidambaris Resina etc which are unusual sort. 5. In the order of frequency in use of monarch drug and ministerial drug in nature, it is hot, mean, cold drug. In the order of frequency in use of monarch drug and ministerial drug in flavors, it is sharp, pungent, sweat.

• 대한임상검사과학회지
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• 제45권3호
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• pp.91-95
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• 2013

It is important to check the types of drugs when treating acute drug intoxication. This study researches the clinical characteristics and types of patients hospitalized in emergency medical center for drug addiction in 2009 and 2010. By applying a drug addiction selecting kit, it studied the flexibility and clinical efficiency during diagnosis and treatment. The study result shows, among the drugs causing addiction, Sedative accounts for 34.4%, Herdicide 23.5%, Analgesic 17.2%, Insectide 7.8% and else 17.2%. Sedative showed the highest proportion both in 2009 and 2010. Among the drug addicted patients, 39 cases did not know that the drugs are poisonous and among them, the drug addiction selecting kit was positive in 32 cases (82.0%). In 42 cases where addiction was suspicious, 25 cases (59.5%) were positive in the drug addiction selecting kit. In 57 cases of using drug addiction selecting kits, the cases in which benzodiazepine was positive, were 30 and the most frequently cases were as follows; Tricyclic Antidepressants (TCA) 13 cases, Amphetamines 3 cases, barbiturate 3 cases, and piate 3 cases. In the district using drug addiction kit meaningfully had Flumazenil injection much greater impact than the one not using the kit. This proves the efficiency of the kit (p<0.05). The uses of drug addiction selecting kits are for acute drug intoxicated patients and for providing objective and scientific information when emergency medical doctor are checking unchecked poisoning drugs. It is considered that drug addiction selecting kits would give help when treating the early stage of drug addicted patients in emergency medical treatment.

• 한국임상약학회지
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• 제21권2호
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• pp.90-99
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• 2011

Health Insurance Review & Assessment Service (HIRA) claims database has a high potential to detect signals of new drug interactions. The aim of this study was to evaluate the usefulness of information component (IC) and relative risk (RR) as a tool for signal detection, and to analyze the possible drug interactions caused by clopidogrel using HIRA claims database. This study was performed in elderly patients over 65 years of age who administered clopidogrel from January 2005 to June 2006 in South Korea. Serious Adverse Events (SAEs) as drug interactions of clopidogrel were defined as any ambulatory hospitalization for ischemic diseases within comcomitant medication period of clopidogrel. Information Component (IC) and Relative Risk (RR) were calculated to compare the proportion of drug-SAE pairs in order to select drug specific SAEs. IC and RR signals of clopidogrel drug interaction were screened when IC's 95% confidence interval was greater than 0 and RR's 95% confidence interval was greater than 1 respectively. All detected signals were compared to references such as $Micromedex^{(R)}$ and 2010 Drug Interaction $Facts^{TM}$. Sensitivity, specificity, positive predicted value and negative predicted value were used to evaluate usefulness of this method. Among 13,252,930 cases of elderly patients who co-administered clopidogrel and other drugs, 47,485 cases were detected as SAE. Of these, one-hundred nine cases were detected by the IC-based data-mining approach and ninety one cases were detected by the RR-based data-mining approach. Total One-hundred sixty three unrecognized signals were detected by IC or RR. Twelve signals from IC-based data-mining (57.1%) were corresponded with drug interactions from references and eight signals from RR-based data-mining (38.1%) were corresponded with drug interactions from references. These signals include proton pump inhibitors, calcium channel blockers and HMG CoA reductase Inhibitors, which were known to affect CYP450 metabolism. Further studies using HIRA claims database are necessary to develop appropriate data-mining measure.

• 경영정보학연구
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• 제24권1호
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• pp.21-37
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• 2022

신약을 개발하는 한 가지 방법의 하나인 신약 재창출(Drug Repositioning)은 이미 사람들에게 사용할 수 있도록 승인된 약물들이 다른 용도로 사용되도록 하여 새로운 적응증을 발견하는 유용한 방법이다. 최근에는 머신러닝 기술의 발달로 방대한 생물학적 정보를 분석하여 신약 개발에 활용하는 경우가 증가하고 있다. 신약 재창출에 머신러닝 기술을 활용하면 효과적인 치료법을 신속하게 찾아내는 데 도움을 줄 것이다. 현재 심각한 급성 호흡기 증후군인 코로나바이러스(COVID-19)에 의한 신종 질병으로 전 세계가 힘든 시간을 보내고 있다. 이미 임상적으로 승인된 약물의 용도를 변경하는 신약 재창출은 COVID-19 환자를 치료하기 위한 치료제의 대안이 될 수 있다. 본 연구는 머신러닝 기법을 활용하여 신약 재창출 분야에 대한 연구 동향을 살펴보고자 한다. Pub Med에서 웹 스크래핑 기법을 사용하여 'Drug Repositioning'이라는 키워드로 총 4,821건의 논문을 수집하였다. 데이터 전처리 후, 4,419건의 논문을 대상으로 빈도분석, LDA 기반 토픽모델링, Random Forest 분류 분석 및 예측 성능평가를 수행하였다. Word2vec 모델을 기반으로 연관어를 분석하였고, PCA 차원 축소 후 K-Means 군집화하여 레이블을 생성한 후, t-SNE 알고리즘을 이용하여 논문이 형성하고 있는 그룹을 시각화하고, LDA 결과에 계층적 군집화를 적용하여 히트맵으로 시각화하였다. 본 연구는 신약 재창출과 관련된 연구 주제가 무엇인지를 파악하고, 머신러닝 알고리즘을 사용하여 대량의 문헌에서 의미 있는 주제를 도출하고 시각화하는 방법을 제시하였다. 향후 신약 재창출 분야의 연구나 개발 전략을 수립하기 위한 기초자료로 활용되는 데 도움을 줄 것이라고 기대한다.

• 대한의용생체공학회:학술대회논문집
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• 대한의용생체공학회 1995년도 추계학술대회
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• pp.253-256
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• 1995

Polymers have been one of the emerging biomedical materials in the area of biomedical research which are applicable to the human body. For human applications, noninvasive characterization of the biomedical polymers has been one of the important topics, and is valuable information. Among others, the swelling rate is one of the important measurements needed for the hydrophilic polymers. NMR imaging has been a suitable method for the noninvasive study of such a material since it is sensitive to many physical and biochemical changes of the specimens. In addition, NMR techniques possess many useful intrinsic properties such as the relaxation and diffusion effects. The present study has provided a noble and noninvasive method of measuring the process of swelling as well as volumetric changes occurred in polymers and drug delivery processes in a drug delivery system (DDS) together with changes of released drug. This gives information, relating with both water ingress process, volumetric changes of polymer specimens and the visualization of sequential drug delivery process. Also, this study provides more reliable method to ascertain the time dependent swelling process compared to the conventional method. The important aspects is that the proposed method is truly noninvasive and is able to ascertain time dependent processes.

• 한국의료질향상학회지
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• 제5권2호
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• pp.202-215
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• 1998

Purpose : To shorten processing time for variety of medical affairs of the patient at the outpatient clinic of a big hospital is very important to qualify medical care of the patient. Therefore, patient's waiting time for drug delivery after doctor's prescription is often utilized as a strong tool to evaluate patient satisfaction with a medical care provided. We performed this study to investigate factors influencing patient satisfaction related with waiting time for drug delivery. Methods : The data were collected from July 21 to August 12, 1998. A total 535 patients or their families who visited outpatient clinics of Inha University Hospital were subjected to evaluate the drug delivery time and the level of their satisfaction related, which were compared with those objectively evaluated by Quality Improvement Team. The reliability of the scale was tested with Cronbach's alpha, and the data were analyzed using frequency, t-test, ANOVA, correlation analysis and multiple regression. Results : The mean drug delivery time subjectively evaluated by the patient (16.1 13.0 min) was longer than that objectively evaluated (10.9 7.6 min) by 5.2 min. Drug delivery time objectively evaluated was influenced by the prescription contents, total amount or type of drug dispensed, etc, as expected. The time discrepancy between two evaluations was influenced by several causative factors. One of those proved to be a patient's late response to the information from the pharmacy which the drug is ready to deliver. Interestingly, this discrepancy was found to be more prominent especially when waiting place for drug delivery was not less crowded. Other factors, pharmaceutical counseling at the pharmacy, emotional status or behavior of a patient while he waits for the medicine, were also found to influence the time subjectively evaluated. Regarding the degree of patient satisfaction with the drug delivery, majority of patients accepted drug delivery time with less than 10 min. It was also found to be influenced by emotional status of the patient as well as kindness or activity of pharmaceutical counselor. Conclusion : The results show that, besides prescription contents, behavior pattern or emotional status of a patient, environment of the waiting place, and quality of pharmaceutical counseling at the pharmacy, may influence the patient's subjective evaluation of waiting time for drug delivery and his satisfaction related with the service in the big hospital. In order to improve patient satisfaction related with waiting time for drug delivery, it will be cost effective to qualify pharmaceutical counseling and information system at the drug delivery site or waiting place rather than to shorten the real processing time within the pharmacy.

• 한국컴퓨터정보학회:학술대회논문집
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• 한국컴퓨터정보학회 2014년도 제49차 동계학술대회논문집 22권1호
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• pp.185-188
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• 2014

본 연구는 자재업체부터 마약류 생산 제약사 도매업체(물류) 대형병원까지의 전체 프로세스에 RFID 시스템을 구축하여 마약류의 도난 및 오남용을 방지하여 국민의 보건안전 및 의약품 관리강화를 도모하는 것으로 현재까지 기 구축된 제약사들의 RFID 시스템에서 기술적으로 고도화시킬 수 있는 방안을 도출하여 최적화된 현장적응형 RFID 서비스를 제공하고자 하는데 그 목적이 있다. 본 연구를 통하여 제약산업 내 제약사 도매업체 대형종합병원 의원에 대한 RFID 도입표준모델을 제시하고 Supply Chain의 유통 투명화를 위한 정보시스템 도입의 기반을 마련함으로써 제약산업 내 참여주체들간의 정보 신뢰성 제고는 물론 철저한 의약품 유통관리로 인한 건전한 의약품 소비문화를 정착시킬 수 있다.

• Macromolecular Research
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• 제17권7호
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• pp.464-468
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• 2009

Gelatin nanoparticles derived from bovine or porcine have been developed as various types of drug delivery system, and they need to be cross-linked to maintain their physicochemical properties in aqueous environments. Although gelatin is a widely used material in pharmaceutical industries, the safety issue of animal-origin gelatins, such as transmissible mad cow disease and anaphylaxis, remains to be solved. The purpose of this study was to prepare type A gelatin (GA) nanoparticles by modified, two-step, desolvation method and compare the toxicity of the resulting GA nanoparticles with recombinant human gelatin (rHG) nanoparticles. The GA nanoparticles were characterized, and drug loading and release pattern were measured. FITC-BSA, a model protein, was efficiently loaded in the nanoparticles and then released in a biphasic and sustained release pattern without an initial burst. In particular, the cell viability of the GA nanoparticles was less than that of the rHG nanoparticles. This finding suggests that rHG nanoparticles should be considered as an alternative to animal-origin gelatin nanoparticles in order to minimize the safety problems.