• Biomolecules & Therapeutics
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• v.20 no.3
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• pp.268-272
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• 2012

Nephrotoxicity occurs when kidney-specific detoxification and excretion do not work properly due to the damage or destruction of kidney function by exogenous or endogenous toxicants. Exposure to drugs often results in toxicity in kidney which represents the major control system maintaining homeostasis of body and thus is especially susceptible to xenobiotics. Understanding the toxic mechanisms for nephrotoxicity provides useful information on the development of drugs with therapeutic benefits with reduced side effects. Mechanisms for drug-induced nephrotoxicity include changes in glomerular hemodynamics, tubular cell toxicity, inflammation, crystal nephropathy, rhabdomyolysis, and thrombotic microangiopathy. Biomarkers have been identified for the assessment of nephrotoxicity. The discovery and development of novel biomarkers that can diagnose kidney damage earlier and more accurately are needed for effective prevention of drug-induced nephrotoxicity. Although some of them fail to confer specificity and sensitivity, several promising candidates of biomarkers were recently proved for assessment of nephrotoxicity. In this review, we summarize mechanisms of drug-induced nephrotoxicity and present the list of drugs that cause nephrotoxicity and biomarkers that can be used for early assessment of nephrotoxicity.

• Korean Journal of Clinical Pharmacy
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• v.21 no.1
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• pp.14-21
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• 2011

Drug Utilization Review (DUR) is known to play an important role to improve appropriateness of drug prescriptions. This retrospective, observational study was conducted to compare prescription patterns after installation of Computerized DUR Program (Drug Information Framework-$Korea^{TM}$) (Jan-Mar 2008; After) to before DUR program (Jan-Mar 2007: Before). 8 physicians affiliated in the S University Hospital were enrolled in the study and their 3 months' prescription data were analysed for drug prescription trends and DUR conflict events per 7 DUR screening modules (drugdrug interaction, therapeutic duplication, allergy, dosing, disease contra-indication, geriatric contra-indication, pediatric contra-indication). Average rate of DUR modules usage in 2008 (After) were 0.72. Average number of prescription drug per patient were reduced from 5.6 (Before) to 3.8 (After), and DUR program seemed to effect positively on physician's prescription related decision process. Overall DUR conflict events occurred by 8 physicians for 3 months were 17,923 Before and 20,057 After DUR program, and DUR conflict events per prescription were 2.8 Before and 2.9 After, respectively. Therapeutic duplication (37%), geriatric contra-indication (34%) and dosing (18%) were high ranked DUR conflicts. As the study was not sufficient to show a consistent trend to reduce DUR conflicts After, another study to confirm it's effectiveness would be recommended. This study would be of help to develop awareness of DUR program to healthcare providers.

• Korean Journal of Pharmacognosy
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• v.38 no.2 s.149
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• pp.113-116
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• 2007

This study was carried out to obtain the basic information that can be used to index arrowroots (Pueraria species) in fourteen regions of China and Korea. The puerarin content in various arrowroots produced in the different areas were quantitatively analysed by HPLC. The average of puerarin content of the 'Galgeun' (Pueraria lobata) was higher than that of the 'Bungalgeun'(Pueraria thomsonii) produced in China and Korea. As a result, the order of the puerarin content was 1) Korean puerariae radix (P. lobata, 0.609%), 2) Chinese puerariae radix (P. lobata, 0.546%), 3) Chinese puerariae radix (P. thomsonii, 0.066%). This result showed that the content of puerarin in the 'Galgeun'(P. lobata) are about 10 times higher than those of the 'Bungalgeun'(P. thomsonii).

• Journal of Information Technology Services
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• v.20 no.3
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• pp.41-56
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• 2021

New drug discovery and development research enable clinical treatment that saves human life and improves the quality of life, but the possibility of success with new drugs is significantly low despite a long time of 14 to 16 years and a large investment of 2 to 3 trillion won in traditional methods. As artificial intelligence is expected to radically change the new drug development paradigm, artificial intelligence new drug discovery and development projects are underway in various forms of collaboration, such as joint research between global pharmaceutical companies and IT companies, and government-private consortiums. This study uses the TOE framework and the Value-based Adoption Model, and the technical, organizational, and environmental factors that should be considered for the acceptance of AI technology at the level of the new drug research organization are the value of artificial intelligence technology. By analyzing the explanatory power of the relationship between perception and intention to use, it is intended to derive practical implications. Therefore, in this work, we present a research model in which technical, organizational, and environmental factors affecting the introduction of artificial intelligence technologies are mediated by strategic value recognition that takes into account all factors of benefit and sacrifice. Empirical analysis shows that usefulness, technicality, and innovativeness have significantly affected the perceived value of AI drug development systems, and that social influence and technology support infrastructure have significant impact on AI Drug Discovery and Development systems.

• Journal of Microbiology and Biotechnology
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• v.32 no.10
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• pp.1307-1314
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• 2022

In this study, we sought to investigate the various characteristics of Salmonella spp. isolated from raw chicken meats available in Korean markets. The data collected, such as food source of isolation, sampling information, serotype, virulence, and genetic profile including sequence type, were registered in the database for further comparative analysis of the strains isolated from the traceback investigation samples. To characterize serotype, virulence and gene sequences, we examined 113 domestically distributed chicken meat samples for contamination with Salmonella spp. Phylogenetic analysis was conducted on 24 strains (21.2%) of Salmonella isolated from 113 commercially available chicken meats and by-products, using pulsed-field gel electrophoresis (PFGE) and multilocus sequence typing (MLST). Serotyping of the isolated Salmonella spp. revealed S. Enteritidis in 11 strains (45.8%), S. Virchow in 6 strains (25%), S. Montevideo in 2 strains (8.3%), S. Bsilla in 2 strains (8.3%), S. Bareilly in 1 strain (4.2%), S. Dessau in 1 strain (4.2%), and S. Albany in 1 strain (4.2%). The genetic correlation indicated that 24 isolated strains were classified into 18 clusters with a genetic similarity of 64.4-100% between them. Eleven isolated S. Enteritidis strains were classified into 9 genotypes with a sequence identity of 74.4%, whereas the most distantly related S. Virchow was divided into five genotypes with 85.9% identity. Here, the MLST analysis indicated that the major Sequence Type (ST) of the Salmonella spp. isolated from domestic chicken sold in Chungcheong Province belongs to the ST 11 and 16, which differs from the genotype of Salmonella isolated from imported chicken. The differential sequence characteristics can be a genetic marker for identifying causative bacteria for epidemiological investigations of food poisoning.

• International Journal of Computer Science & Network Security
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• v.21 no.12spc
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• pp.409-414
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• 2021

Geographic Information Systems (GIS) is considered to be one of the most important technologies provided by the Internet in our era. GIS enables institutions and individuals to plan and make decisions in many fields. GIS assists in accessing new and updated information on planning process. GIS also enables determining distances such as length, width, area on a map, and allows analyzing and processing a large amount of data for the search of geographical characteristics of locations. This paper explains the concept of dispensing prescription through the specific code of drug on an electronic system using GIS technology. The proposed methodology aims to inform patients of all the prescriptions dispensed and to help individuals inquiring about prescription at the nearest pharmacy through GIS technology. This proposed methodology is considered significant in some cases, as the patient does not know price, specifications and pharmacy location where the drug required is available, thus increasing the time and effort cost that is spent searching for the prescription.

• The Plant Pathology Journal
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• v.33 no.6
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• pp.529-542
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• 2017

Control of plant diseases is largely dependent on use of agrochemicals. However, there are widening gaps between our knowledge on plant diseases gained from genetic/mechanistic studies and rapid translation of the knowledge into target-oriented development of effective agrochemicals. Here we propose that the time is ripe for computer-aided drug discovery/design (CADD) in molecular plant pathology. CADD has played a pivotal role in development of medically important molecules over the last three decades. Now, explosive increase in information on genome sequences and three dimensional structures of biological molecules, in combination with advances in computational and informational technologies, opens up exciting possibilities for application of CADD in discovery and development of agrochemicals. In this review, we outline two categories of the drug discovery strategies: structure- and ligand-based CADD, and relevant computational approaches that are being employed in modern drug discovery. In order to help readers to dive into CADD, we explain concepts of homology modelling, molecular docking, virtual screening, and de novo ligand design in structure-based CADD, and pharmacophore modelling, ligand-based virtual screening, quantitative structure activity relationship modelling and de novo ligand design for ligand-based CADD. We also provide the important resources available to carry out CADD. Finally, we present a case study showing how CADD approach can be implemented in reality for identification of potent chemical compounds against the important plant pathogens, Pseudomonas syringae and Colletotrichum gloeosporioides.

• Journal of Pharmaceutical Investigation
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• v.31 no.3
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• pp.181-184
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• 2001

The purpose of this study was to develop transdermal drug delivery system (TDDS) for the combination of physostigmine and procyclidine. The effects of various pressure sensitive adhesives (PSA) on the percutaneous absorption of procyclidine across hairless mouse skin were evaluated to select an appropriate PSA. In addition, the influences of various vehicles on the percutaneous absorption of procyclidine from PSA matrix across hairless mouse skin were evaluated using flow-through diffusion cell system at $37^{\circ}C$. Physostigmine did not have any influence on the permeation rate of procyclidine. The flux of procyclidine was the highest in silicone and PIB and was relatively lower in SIS, Acryl, and SBS adhesive matrices, however, their use was limited by the crystallization of the drug in the matrix. Among acrylic adhesives, the permeability of procyclidine was the highest from poly (ethylene oxide) grafted acrylic adhesive. Some enhancers show different enhancing effect depending on the drug, however, many of the tested enhancers showed enhancing effect for the permeation of both procyclidine and physostigmine to some extent. $Crovol^{\circledR}$ EP 40 showed the highest enhancing effect on the permeation of both compounds. The size of TDDS to provide required permeation rate was estimated to be $35\;cm^2$ based on available information.

• Toxicological Research
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• v.26 no.1
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• pp.1-8
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• 2010

The process of new drug development consists of several stages; after identifying potential candidate compounds, preclinical studies using animal models link the laboratory and human clinical trials. Among many steps in preclinical studies, toxicology and safety assessments contribute to identify potential adverse events and provide rationale for setting the initial doses in clinical trials. Gene modulation is one of the important tools of modern biology, and is commonly employed to examine the function of genes of interest. Advances in new drug development have been achieved by exploding information on target selection and validation using genetically modified animal models as well as those of cells. In this review, a recent trend of genetically modified methods is discussed with reference to safety assessments, and the exemplary applications of gene-modulating tools to the tests in new drug development were summarized.

• Korean Journal of Clinical Pharmacy
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• v.30 no.3
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• pp.185-195
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• 2020

Objective: This study aimed to explore a veteran patients' behavior of prescribing drug use and of which influencing factors from the veteran patients' perspective through qualitative interviews. Methods: We recruited veteran patients through purposive sampling and interviewed 30 veteran patients aged 20 and over who had been taking prescription drugs. We developed and utilized an interview guide consisting of three themes for data collection. We made verbatim transcripts and analyzed data using the framework analysis. Results: Participants were aware that they had large amounts of prescribing medicines and discarded the medicines. They often used improperly by the person himself or his family or acquaintances. The factors that influenced these inefficient prescription drug usage were grouped into 'factors procuring more drugs than necessary' and 'factors being prescribed more drugs than necessary'. Anxiety about downgrading from the upper class to the lower among reward classes for veterans, and suspicion or dissatisfaction with the veteran policy caused the participants to procure more drugs than necessary. Additionally, they received too many medicines due to long-term prescriptions and lack of communication with their doctors, and poor quality of veteran health services. Conclusion: To improve the medication use behavior of veteran patients, providing information or introducing interventions for the proper medication use is not enough. Efforts should be made to improve their negative recognition over relevant policies and health care services.