• Title/Summary/Keyword: Drug similarity

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Nrf2 and Keap1 Regulation of Antioxidant and Phase II Enzyme Genes

  • Yamamoto, M.
    • Proceedings of the Korean Society of Toxicology Conference
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    • 2002.05a
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    • pp.24-42
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    • 2002
  • Antioxidant responsive element (ARE) mediates the transcriptional activation of the genes encoding phase II drug metabolizing enzymes and antioxidative stress genes. The ARE consensus sequence shows high similarity to NF-E2 binding sequence, a cisacting erythroid gene regulatory element.(omitted)

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Molecular Docking Studies of Wolbachia Endosymbiont of Brugia Malayi's Carbonic Anhydrase Using Coumarin-chromene Derivatives Towards Designing Anti-filarial Agents

  • Malathy, P.;Jagadeesan, G.;Gunasekaran, K.;Aravindhan, S.
    • Journal of Integrative Natural Science
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    • v.9 no.4
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    • pp.268-274
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    • 2016
  • Filariasis causing nematode Brugia malayi is shown to harbor wolbachia bacteria as symbionts. The sequenced genome of the wolbachia endosymbiont from B.malayi (wBm) offers an unprecedented opportunity to identify new wolbachia drug targets. Hence the enzyme carbonic anhydrase from wolbachia endosymbiont of Brugia malayi (wBm) which is responsible for the reversible interconversion of carbon dioxide and water to bicarbonate and protons (or vice versa) is chosen as the drug target for filariasis. This enzyme is thought to play critical functions in bacteria by involving in various steps of their life cycle which are important for survival, The 3D structure of wBm carbonic anhydrase is predicted by selecting a suitable template using the similarity search tool, BLAST. The BLAST results shows a hexapeptide transferase family protein from Anaplasma phagocytophilum (PDB ID: 3IXC) having 77% similarity and 54% identity with wBm carbonic anhydrase. Hence the above enzyme is chosen as the template and the 3D structure of carbonic anhydrase is predicted by the tool Modeller9v7. Since the three dimensional structure of carbonic anhydrase from wolbachia endosymbiont of Brugia malayi has not yet solved, attempts were made to predict this protein. The predicted structure is validated and also molecular docking studies are carried out with the suitable inhibitors that have been solved experimentally.

Preparation and Dissolution Characteristics of Sustained Release Pellets Containing Isosorbide Dinitrate (질산 이소소르비드가 함유된 서방형 펠렛의 제조 및 용출 특성)

  • Lee, Gye-Won;Kim, Hak-Hyung;Ryu, Sung-Kyun
    • Journal of Pharmaceutical Investigation
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    • v.38 no.6
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    • pp.381-385
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    • 2008
  • Isosorbide dinitrate is an oral assiatant therapy agent of angina pectoris, myocardial infarction and congestive heart failure. The objective of this study was to formulate sustained release containing isosorbide dinitrate and assess their formulation variables. Pellets were prepared by fluid bed process and consist of drug layer and membrane layer. The pellets were coated with ethylcellulose along with $5{\sim}15%$ of plasticizer such as triacetin and diethyl butylrate. In vitro evaluation study was performed by comparative dissolution test between test and reference isosorbide dinitrate preparation. We could prepare sustained pellets of isosorbide dinitrate by fluid bed process which were reduced process time and had high content. The pellet coated with 1% ethylcellulose and triacetin(l5%) had a similar dissolution behavior compare to reference isosorbide dinitrate preparation controlling initial dissolution and those of dissolution at 30 min were 17.25 and 17.09%, respectively. Difference factor and similarity factor were $0{\sim}15$ and $50{\sim}100$ and there was no significant difference in bioequivalence between formulations. It might be concluded that our sustained release pellet of isosorbide dinitrate could be an alternatively delivery system to reference drug preparation.

Development of a New Similarity Index to Compare Time-series Profile Data for Animal and Human Experiments (동물 및 임상 시험의 시계열 프로파일 데이터 비교를 위한 유사성 지수 개발)

  • Lee, Ye Gyoung;Lee, Hyun Jeong;Jang, Hyeon Ae;Shin, Sangmun
    • Journal of Korean Society for Quality Management
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    • v.49 no.2
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    • pp.145-159
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    • 2021
  • Purpose: A statistical similarity evaluation to compare pharmacokinetics(PK) profile data between nonclinical and clinical experiments has become a significant issue on many drug development processes. This study proposes a new similarity index by considering important parameters, such as the area under the curve(AUC) and the time-series profile of various PK data. Methods: In this study, a new profile similarity index(PSI) by using the concept of a process capability index(Cp) is proposed in order to investigate the most similar animal PK profile compared to the target(i.e., Human PK profile). The proposed PSI can be calculated geometric and arithmetic means of all short term similarity indices at all time points on time-series both animal and human PK data. Designed simulation approaches are demonstrated for a verification purpose. Results: Two different simulation studies are conducted by considering three variances(i.e., small, medium, and large variances) as well as three different characteristic types(smaller the better, larger the better, nominal the best). By using the proposed PSI, the most similar animal PK profile compare to the target human PK profile can be obtained in the simulation studies. In addition, a case study represents differentiated results compare to existing simple statistical analysis methods(i.e., root mean squared error and quality loss). Conclusion: The proposed PSI can effectively estimate the level of similarity between animal, human PK profiles. By using these PSI results, we can reduce the number of animal experiments because we only focus on the significant animal representing a high PSI value.

Prevalence and Characteristics of Salmonella spp. Isolated from Raw Chicken Meat in the Republic of Korea

  • Koh, Youngho;Bae, Yunyoung;Lee, Yu-Si;Kang, Dong-Hyun;Kim, Soon Han
    • 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.

Similarity Model Analysis and Implementation for Enzyme Reaction Prediction (효소 반응 예측을 위한 유사도 모델 분석 및 구현)

  • Oh, Joo-Seong;Na, Do-Kyun;Park, Chun-Goo;Ceong, Hyi-Thaek
    • The Journal of the Korea institute of electronic communication sciences
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    • v.13 no.3
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    • pp.579-586
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    • 2018
  • With the beginning of the new era of bigdata, information extraction or prediction are an important research area. Here, we present the acquisition of semi-automatically curated large-scale biological database and the prediction of enzyme reaction annotation for analyzing the pharmacological activities of drugs. Because the xenobiotic metabolism of pharmaceutical drugs by cellular enzymes is an important aspect of pharmacology and medicine. In this study, we apply and analyze similarity models to predict bimolecular reactions between human enzymes and their corresponding substrates. Thirteen models select to reflect the characteristics of each cluster in the similarity model. These models compare based on sensitivity and AUC. Among the evaluation models, the Simpson coefficient model showed the best performance in predicting the reactivity between the enzymes. The whole similarity model implement as a web service. The proposed model can respond dynamically to the addition of reaction information, which will contribute to the shortening of new drug development time and cost reduction.

A Study on Prescription Similarity Analysis for Efficiency Improvement (처방 유사도 분석의 효율성 향상에 관한 연구)

  • Hwang, SuKyung;Woo, DongHyeon;Kim, KiWook;Lee, ByungWook
    • Journal of Korean Medical classics
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    • v.35 no.4
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    • pp.1-9
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    • 2022
  • Objectives : This study aims to increase efficiency of the prescription similarity analysis method that uses drug composition ratio. Methods : The controlled experiment compared result generation time, generated data quantity, and accuracy of results between previous and new analysis method on the 12,598 formulas and 61 prescription groups. Results : The control group took 346 seconds on average and generated 768,478 results, while the test group took 24 seconds and generated 241,739 results. The test group adopted a selective calculation method that only used overlapping data between two formulas instead of analyzing all number of cases. It simplified the data processing process, reducing the quantity of data that is required to be processed, leading to better system speed, as fast as 14.47 times more than previous analysis method with equal results. Conclusions : Efficiency for similarity analysis could be improved by reducing data span and simplifying the calculation processes.

Computational Approaches to Gene Prediction

  • Do Jin-Hwan;Choi Dong-Kug
    • Journal of Microbiology
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    • v.44 no.2
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    • pp.137-144
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    • 2006
  • The problems associated with gene identification and the prediction of gene structure in DNA sequences have been the focus of increased attention over the past few years with the recent acquisition by large-scale sequencing projects of an immense amount of genome data. A variety of prediction programs have been developed in order to address these problems. This paper presents a review of the computational approaches and gene-finders used commonly for gene prediction in eukaryotic genomes. Two approaches, in general, have been adopted for this purpose: similarity-based and ab initio techniques. The information gleaned from these methods is then combined via a variety of algorithms, including Dynamic Programming (DP) or the Hidden Markov Model (HMM), and then used for gene prediction from the genomic sequences.

신약설계를 위한 화합물 DB-chemical Database for Drug Design-

  • Lee, Seong-Gwang;No, Gyeong-Tae
    • Journal of Scientific & Technological Knowledge Infrastructure
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    • s.5
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    • pp.41-50
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    • 2001
  • 화학구조 D B는 그 목적에 다양하게 분류될 수 있는데, 유사한 약효를 검색하기 위한 유사도 검색(similarity search) DB와 유기합성을 위한 reaction DB, 실험이나 계산으로 얻은 물성을 모은 property DB, 생물학적 검증 데이터를 모은 activity DB등이 있다. 이러한 화학 D B는 신약을 설계하는 입장에서 볼 때, 앞에서 말한 다양한 D B로서의 목적을 모두 충족시킬 수 있는 유기적인 설계가 바람직하다.

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Property-based Design of Ion-Channel-Targeted Library

  • Ahn, Ji-Young;Nam, Ky-Youb;Chang, Byung-Ha;Yoon, Jeong-Hyeok;Cho, Seung-Joo;Koh, Hun-Yeong;No, Kyoung-Tai
    • Proceedings of the Korean Society for Bioinformatics Conference
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    • 2005.09a
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    • pp.134-138
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    • 2005
  • The design of ion channel targeted library is a valuable methodology that can aid in the selection and prioritization of potential ion channel-likeness for ion-channel-targeted bio-screening from large commercial available chemical pool. The differences of property profiling between the 93 ion-channel active compounds from MDDR and CMC database and the ACDSC compounds were classified by suitable descriptors calculated with preADME software. Through the PCA, clustering, and similarity analysis, the compounds capable of ion channel activity were defined in ACDSC compounds pool. The designed library showed a tendency to follow the property profile of ion-channel active compounds and can be implemented with great time and economical efficiencies of ligand-based drug design or virtual high throughput screening from an enormous small molecule space.

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