• Proceedings of the PSK Conference
• /
• 2002.10a
• /
• pp.405.2-405.2
• /
• 2002

A near infrared (NIR) method was developed to analyze specious diversity for morphologically similar umbelliferous herbal medicine. Cnidium officinale Makino. This herbal medicine has been widely used as 'chungung' without any discrimination of its quality and original plants. though it has the ambiguous origins of plants between various countries especially Korea. China and Japan. It is named by Cnidium officinale Makino in Korea and Japan. in comparison with Ligusticum chuanxiong Hort. in China. (omitted)

• Journal of the Korean Chemical Society
• /
• v.53 no.6
• /
• pp.653-662
• /
• 2009

Developing effective tools for predicting absorption, distribution, metabolism, excretion properties and toxicity (ADME/T) of new chemical entities in the early stage of drug design is one of the most important tasks in drug discovery and development today. As one of these attempts, support vector machines (SVM) has recently been exploited for the prediction of ADME/T related properties. However, two problems in SVM modeling, i.e. feature selection and parameters setting, are still far from solved. The two problems have been shown to be crucial to the efficiency and accuracy of SVM classification. In particular, the feature selection and optimal SVM parameters setting influence each other, which indicates that they should be dealt with simultaneously. In this account, we present an integrated practical solution, in which genetic-based algorithm (GA) is used for feature selection and grid search (GS) method for parameters optimization. hERG ion-channel inhibitor classification models of ADME/T related properties has been built for assessing and testing the proposed GA-GS-SVM. We generated 6 different models that are 3 different single models and 3 different ensemble models using training set - 1891 compounds and validated with external test set - 175 compounds. We compared single model with ensemble model to solve data imbalance problems. It was able to improve accuracy of prediction to use ensemble model.

• YAKHAK HOEJI
• /
• v.56 no.2
• /
• pp.126-135
• /
• 2012

Purpose: To develop therapeutic duplication criteria for the drugs used for respiratory diseases. Method: Therapeutic duplication was defined as "more than 2 drug ingredient-usage in which each has the same therapeutic effect and combination therapy does not confer additional therapeutic benefit". Respiratory system drugs approved in Korea were examined for the study. The WHO's Anatomical Therapeutic Chemical Classification System was used for grouping of the corresponding drug ingredients. The principles and recommendations on combination usage or multiple drug regimens were reviewed by using the clinical practice guidelines, textbooks, product labelings, and clinical articles. Clinical expert group consultation was performed and expert opinions were incorporated into the final criteria. Results: Nine hundred sixty two drug products with Korean Food and Drug Administration classification codes of 141, 149, 222, and 229 were evaluated, of which 87 active ingredients were composed. The drug ingredients were classified into 12 groups (antihistamines, oral nasal decongestants, leukotriene receptor antagonists, inhaled anticholinergics, inhaled corticosteroids, oral ${\beta}2$-agonists, long-acting ${\beta}2$-agonists, short-acting ${\beta}2$-agonists, xanthines, antiallergics, mucolytics and cough suppressants). The use of more than 2 drug ingredients including the same group was therapeutic duplication, and thus combination should be recommended not to be used. Conclusion: Twelve drug groups were identified as therapeutic duplication criteria. Combination therapy within each group should not be used otherwise therapeutic benefits outweigh potential risks.

• YAKHAK HOEJI
• /
• v.55 no.3
• /
• pp.185-194
• /
• 2011

Therapeutic duplication (TD) is frequently reported inappropriate drug use in healthcare settings in Korea. This study was aimed to develop TD criteria for psycho-nervous system drugs (KFDA classification 117 and 119). ATC classification was used to determine therapeutic and/or chemical similarities among the 93 ingredients reviewed. Clinical practice guidelines, textbooks and product labels were referenced for principles and evidences of possible drug combination usage. 16 groups that listed ingredients to be considered as TD were established and the criteria would be helpful to prevent TDs.

• Journal of Fisheries and Marine Sciences Education
• /
• v.29 no.2
• /
• pp.581-585
• /
• 2017

To strengthen the quality control of aquatic drugs, we compared the internal and external(EU, USA and Japan) aquatic drug classification systems and proposed a new aquatic drug classification system. Aquatic drugs are classified on the basis of their functional the functional characteristics or safety management degree of aquatic drugs. We suggested that the aquatic drugs can be categorized into 7 levels according to their functional characteristics and classified into 3 levels according to the safety management degree of aquatic drugs.

• Korean Journal of Clinical Pharmacy
• /
• v.15 no.2
• /
• pp.127-138
• /
• 2005

This is to examine the OTC regulatory system of Korea in comparison with those of Japan, UK and US, and suggest the possible regulatory actions to harmonize it to international standards. Individual countries have their own regulatory requirements and processes far OTC application based on established drug monographs and safety profiles from clinical experiences. Categories of OTC drug monographs are being expanded with transparent establishment procedure according to detailed guidelines, and public opinions as well as professional experts for assessing appropriateness of wide usage without physician's prescription. In line with trend of self-medication worldwide, the number of OTC drugs is increasing and more efficient and professional drug review is underway in the separate OTC division in regulatory agency. For improving OTC regulatory system in Korea, settlement of optimal drug classification policy and management for encouraging OTC drug use, development of more detailed and specific guidelines for OTC drug application, expansion of OTC drug monographs, transparent process for OTC monographs establishment, and establishment of OTC division in health authority, are suggested.

• Proceedings of the Korean Information Science Society Conference
• /
• 2007.10b
• /
• pp.17-21
• /
• 2007

Drug discovery is a long process with a low rate of successful new therapeutic discovery regardless of the advances in information technologies. Identification of candidate proteins is an essential step for the drug discovery and it usually requires considerable time and efforts in the drug discovery. The drug discovery is not a logical, but a fortuitous process. Nevertheless, considerable amount of information on drugs are accumulated in UniProt, NCBI, or DrugBank. As a result, it has become possible to try to devise new computational methods classifying drug target candidates extracting the common features of known drug target proteins. In this paper, we devise a method for drug target protein classification by using weighted feature summation and Support Vector Machine. According to our evaluation, the method is revealed to show moderate accuracy $85{\sim}90%$. This indicates that if the devised method is used appropriately, it can contribute in reducing the time and cost of the drug discovery process, particularly in identifying new drug target proteins.

• Proceedings of the Korean Society of Near Infrared Spectroscopy Conference
• /
• 2001.06a
• /
• pp.3112-3112
• /
• 2001

Near-Infrared Spectroscopy (NIRS) was investigated aiming at the identification of falsified drugs. The identification is based on comparison of the NIR spectrum of a sample with a typical spectra of an authentic drug using multivariate modelling and classification algorithms (PCA/SIMCA). Two spectrophotometers (Brimrose - Luminar 2000 and 2030), based on acoustic-optical filter (AOTF) technology, sharing the same controlling computer, software (Brimrose - Snap 2.03) and the data acquisition electronics, were employed. The Luminar 2000 scans the range 850 1800 nm and was employed for transmitance/absorbance measurements of liquids with a transflectance optical bundle probe with total optical path of 5 mm and a circular area of 0.5 $\textrm{cm}^2$. Model 2030 scans the rage 1100 2400 nm and was employed for reflectance measurement of solids drugs. 300 spectra, acquired in about 20 s, were averaged for each sample. Chemometric treatment of the spectral data, modelling and classification were performed by using the Unscrambler 7.5 software (CAMO Norway). This package provides the Principal Component Analysis (PCA) and SIMCA algorithms, used for modelling and classification, respectively. Initially, NIRS was evaluated for spectrum acquisition of various drugs, selected in order to accomplish the diversity of physico-chemical characteristics found among commercial products. Parameters which could affect the spectra of a given drug (especially if presented as solid tablets) were investigated and the results showed that the first derivative can minimize spectral changes associated with tablet geometry, physical differences in their faces and position in relation to the probe beam. The effect of ambient humidity and temperature were also investigated. The first factor needs to be controlled for model construction because the ambient humidity can cause spectral alterations that should cause the wrong classification of a real drug if the factor is not considered by the model.

• Korean Journal of Clinical Pharmacy
• /
• v.20 no.3
• /
• pp.262-267
• /
• 2010

Therapeutic duplication of prescriptions is the most frequently reported inappropriate drug use in Korea. To prevent significant problems during drug prescribing and dispensing, prospectively, development of standard including drug lists considered as therapeutic duplications for the prioritized drug classes first would be necessary. This study was aimed to analyze frequent drug classes of therapeutic duplications by healthcare providers in clinical practice settings. National health claims data for drug review and reimbursement (1,426,065 prescriptions dated March 19, 2008) were analyzed. Therapeutic duplication was defined as the prescription including more than 2 ingredients belonging to the same KFDA drug classification numbers that considered to have therapeutic similarities. The following 3 drug classes were mostly frequent therapeutic duplication classes: 114 anti-pyretics, analgesics and anti-inflammatory drugs; 117 drugs for psycho-nervous system; 141 Antihistamines. About 3.5% of overall prescriptions analyzed showed therapeutic duplications. This result might be starting step to develop DUR therapeutic duplication standard.

• Journal of Food Hygiene and Safety
• /
• v.21 no.1
• /
• pp.1-8
• /
• 2006

This project was undertaken to compare the Korea Food Standards Code, Food Additives Code and Codex Food Category System and to propose necessary measures to improve the regulatory system of food additives which are scientifically reasonable and harmonizable with international standards. Current food grouping and nomenclature in Korea were specifically compared with the Codex Food Category System and measures to solve any problems in connection with the use of additives in traditional foods were attempted. Among the food commodities in the Korea Foods Standards Code, 8 food groups including Korean confections, semisolid starchy syrups, bean curds and starch gels, edible oils and fats, tea beverages, seasoning foods, kimchi and salted vegetables, and ginseng products were chosen to propose some improvement measures to harmonize the classification, nomenclature, definition and use of additives with the Codex standards.