• Title/Summary/Keyword: Drug screening

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Toward the Virtual Screening of α-Glucosidase Inhibitors with the Homology-Modeled Protein Structure

  • Park, Jung-Hum;Ko, Sung-Min;Park, Hwang-Seo
    • Bulletin of the Korean Chemical Society
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    • v.29 no.5
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    • pp.921-927
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    • 2008
  • Discovery of $\alpha$-glucosidase inhibitors has been actively pursued with the aim to develop therapeutics for the treatment of diabetes and the other carbohydrate mediated diseases. As a method for the discovery of new novel inhibitors of $\alpha$-glucosidase, we have addressed the performance of the computer-aided drug design protocol involving the homology modeling of $\alpha$-glucosidase and the structure-based virtual screening with the two docking tools: FlexX and the automated and improved AutoDock implementing the effects of ligand solvation in the scoring function. The homology modeling of $\alpha$-glucosidase from baker’s yeast provides a high-quality 3-D structure enabling the structure-based inhibitor design. Of the two docking programs under consideration, AutoDock is found to be more accurate than FlexX in terms of scoring putative ligands to the extent of 5-fold enhancement of hit rate in database screening when 1% of database coverage is used as a cutoff. A detailed binding mode analysis of the known inhibitors shows that they can be stabilized in the active site of $\alpha$- glucosidase through the simultaneous establishment of the multiple hydrogen bond and hydrophobic interactions. The present study demonstrates the usefulness of the automated AutoDock program with the improved scoring function as a docking tool for virtual screening of new $\alpha$-glucosidase inhibitors as well as for binding mode analysis to elucidate the activities of known inhibitors.

Simultaneous Quantitative Determination of Nine Hallucinogenic NBOMe Derivatives in Human Plasma Using Liquid Chromatography Tandem Mass Spectrometry

  • Seo, Hyewon;Yoo, Hye Hyun;Kim, Young-Hoon;Hong, Jin;Sheen, Yhun Yhong
    • Mass Spectrometry Letters
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    • v.10 no.1
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    • pp.18-26
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    • 2019
  • We developed a bioanalytical method for simultaneous determination of nine NBOMe derivatives (25H-NBOMe, 25B-NBOMe, 25E-NBOMe, 25N-NBOMe, 25C-NBOH, 25I-NBOH, 25B-NBF, 25C-NBF, and 25I-NBF) in human plasma using liquid chromatography tandem mass spectrometry (LC-MS/MS). Human plasma samples were pre-treated using solid-phase extraction. Separation was achieved on a C18 column under gradient elution using a mobile phase containing 0.1% formic acid in acetonitrile and 0.1% formic acid in water at a flow rate of 0.3 mL/min. Mass detection was performed in the positive ion mode using multiple reaction monitoring. The calibration range was 1-100 ng/mL for all quantitative analytes, with a correlation coefficient greater than 0.99. The intra- and inter-day precision and accuracy varied from 0.85 to 6.92% and from 90.19 to 108.69%, respectively. The recovery ranged from 86.36 to 118.52%, and the matrix effects ranged from 27.09 to 99.72%. The stability was acceptable in various conditions. The LC-MS/MS method was validated for linearity, accuracy, precision, matrix effects, recovery and stability in accordance with the FDA guidance. The proposed method is suitable for reliable and robust routine screening and analysis of nine NBOMe derivatives in forensic field.

Anti-norovirus activity of natural compounds and its potential in food application (항노로바이러스 천연물을 이용한 식품개발)

  • Kim, Yeon-Ji;Lee, Jeong Su;Joo, In Sun;Lee, Sung-Joon
    • Food Science and Industry
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    • v.50 no.1
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    • pp.67-73
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    • 2017
  • Control of food pathogens is critical in food safety field. Norovirus is one of the major causes of gastroenteritis and food poisoning worldwide, however, currently, there is not a vaccine or a specific drug available for its treatment. There are several methods to inactivate norovirus during food processing by chemical and physical treatments, however, the use of natural substance has been suggested as an optional strategy due to their safety and consumer preference. In this study supported by Ministry of Food and Drug Safety in Korea, we identified novel plant-derived substances with significant anti-norovirus activities. The aim of this project was to determine the antiviral activity of a wide range of natural substances, including plant-derived extracts and essential oils, using a norovirus surrogate system, human norovirus replicon-bearing cells, and mouse in vivo experiments. During the activity screening test, we identified novel anti-norovirus substances or oils using plaque assay with MNV-1. Six selected substances were formulated into an optimum mixture and used as an ingredient for salad sauce of which anti-novovirus activity was confirmed(pending for patent and paper submission). The potential application of selected natural substances as a metal surface sanitizer was also tested. Interestingly, the mixture of selected natural compounds showed a significant inhibitory effect against norovirus. These results suggest that these substances may be used as food ingredient with anti-norovirus antivity or components for surface sanitizers to prevent norovirus contamination.

Drug-likeness and Oral bioavailability for Chemical Compounds of Medicinal Materials Constituting Oryeong-san (오령산 구성약재 성분의 Drug-likeness와 Oral bioavailability)

  • Kim, Sang-Kyun;Lee, Seungho
    • The Korea Journal of Herbology
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    • v.33 no.5
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    • pp.19-37
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    • 2018
  • Objectives : Oryeong-san was composed of Alismatis Rhizoma, Atractylodis Rhizoma Alba, Poria Sclerotium, Polyporus, Cinnamomi Cortex, and known to have hundreds of chemical compounds. The aim of this study was to screen chemical compounds constituting Oryeong-san with the drug-likeness and oral bioavailability from the analysis of their physicochemical properties. Methods : A list of chemical compounds of Oryeong-san was obtained from TM-MC(database of medicinal materials and chemical compounds in Northeast Asian traditional medicine). To remove redundant compounds, the SMILES (Simplified Molecular Input Line Entry System) strings of each compound were identified. All of the physicochemical properties for the compounds were calculated using the DruLiTo(Drug Likeness Tool). Drug-likeness was estimated by QED(Quantitative Estimate of Druglikeness) and OB(Oral bioavailability) was checked based on the Veber's rules. Results : A total of 475 compounds were obtained by eliminating duplication among 544 compounds of 5 medicinal materials. Analysis of the physicochemical properties revealed that the most common values were MW(molecular weight) 200~300 g/mol, ALOGP(octanol-water partition coefficient) 1~2, HBA(number of hydrogen bond acceptors) 0~1, HBD(number of hydrogen bond donors) 0, PSA(polar surface area) 0~50 angstrom, ROTB(number of rotatable bonds) 1, AROM(number of aromatic rings) 0, and ALERT(number of structural alerts) 1. QED had 93% of the values between 0.2 and 0.7, and OB had 90% of the value of TRUE. Conclusions : We in this paper screened the candidate active compounds of Oryeong-san using the QED and Veber's rules. In the future, we will use the screening results to analyze the mechanism of Oryeong-san based on systems pharmacology.

Predicting fetal toxicity of drugs through attention algorithm (Attention 알고리즘 기반 약물의 태아 독성 예측 연구)

  • Jeong, Myeong-hyeon;Yoo, Sun-yong
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2022.05a
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    • pp.273-275
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    • 2022
  • The use of drugs by pregnant women poses a potential risk to the fetus. Therefore, it is essential to classify drugs that pregnant women should prohibit. However, the fetal toxicity of most drugs has not been identified. This takes a lot of time and cost. In silico approaches, such as virtual screening, can identify compounds that may present a high risk to the fetus for a wide range of compounds at the low cost and time. We collected class information of each drug from the hazard classification lists for prescribing drugs in pregnancy by the government of Korea and Australia. Using the structural and chemical features of each drug, various machine learning models were constructed to predict fetal toxicity of drugs. For all models, the quantitative performance evaluation was performed. Based on the attention algorithm, important molecular substructures of compounds were identified in the process of predicting the fetal toxicity of the drug by the proposed model. From the results, we confirmed that drugs with a high risk of fetal toxicity can be predicted for a wide range of compounds by machine learning. This study can be used as a pre-screening tool for fetal toxicity predictions, as it provides key molecular substructures associated with the fetal toxicity of compounds.

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An International Collaborative Program To Discover New Drugs from Tropical Biodiversity of Vietnam and Laos

  • Soejarto, Djaja D.;Pezzuto, John M.;Fong, Harry H.S.;Tan, Ghee Teng;Zhang, Hong Jie;Tamez, Pamela;Aydogmus, Zeynep;Chien, Nguyen Quyet;Franzblau, Scott G.;Gyllenhaal, Charlotte;Regalado, Jacinto C.;Hung, Nguyen Van;Hoang, Vu Dinh;Hiep, Nguyen Tien;Xuan, Le Thi;Hai, Nong Van;Cuong, Nguyen Manh;Bich, Truong Quang;Loc, Phan Ke;Vu, Bui Minh;Southavong, Boun Hoong
    • Natural Product Sciences
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    • v.8 no.1
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    • pp.1-15
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    • 2002
  • An International Cooperative Biodiversity Group (ICBG) program based at the University of Illinois at Chicago initiated its activities in 1998, with the following specific objectives: (a) inventory and conservation of of plants of Cuc Phuong National Park in Vietnam and of medicinal plants of Laos; (b) drug discovery (and development) based on plants of Vietnam and Laos; and (c) economic development of communities participating in the ICBG project both in Vietnam and Laos. Member-institutions and an industrial partner of this ICBG are bound by a Memorandum of Agreement that recognizes property and intellectual property rights, prior informed consent for access to genetic resources and to indigenous knowledge, the sharing of benefits that may arise from the drug discovery effort, and the provision of short-term and long-term benefits to host country institutions and communities. The drug discovery effort is targeted to the search for agents for therapies against malaria (antimalarial assay of plant extracts, using Plasmodium falciparum clones), AIDS (anti-HIV-l activity using HOG.R5 reporter cell line (through transactivation of the green fluorescent protein/GFP gene), cancer (screening of plant extracts in 6 human tumor cell lines - KB, Col-2, LU-l, LNCaP, HUVEC, hTert-RPEl), tuberculosis (screening of extracts in the microplate Alamar Blue assay against Mycobacterium tuberculosis $H_{37}Ra\;and\;H_{37}Rv),$ all performed at UIC, and CNS-related diseases (with special focus on Alzheimer's disease, pain and rheumatoid arthritis, and asthma), peformed at Glaxo Smith Kline (UK). Source plants were selected based on two approaches: biodiversity-based (plants of Cuc Phuong National Park) and ethnobotany-based (medicinal plants of Cuc Phuong National Park in Vietnam and medicinal plants of Laos). At mc, as of July, 2001, active leads had been identified in the anti-HIV, anticancer, antimalarial, and anti- TB assay, after the screening of more than 800 extracts. At least 25 biologically active compounds have been isolated, 13 of which are new with anti-HIV activity, and 3 also new with antimalarial activity. At GSK of 21 plant samples with a history of use to treat CNS-related diseases tested to date, a number showed activity against one or more of the CNS assay targets used, but no new compounds have been isolated. The results of the drug discovery effort to date indicate that tropical plant diversity of Vietnam and Laos unquestionably harbors biologically active chemical entities, which, through further research, may eventually yield candidates for drug development. Although the substantial monetary benefit of the drug discovery process (royalties) is a long way off, the UIC ICBG program provides direct and real-term benefits to host country institutions and communities.

Design and Implementation of Service based Virtual Screening System in Grids (그리드에서 서비스 기반 가상 탐색 시스템 설계 및 구현)

  • Lee, Hwa-Min;Chin, Sung-Ho;Lee, Jong-Hyuk;Lee, Dae-Won;Park, Seong-Bin;Yu, Heon-Chang
    • Journal of KIISE:Computer Systems and Theory
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    • v.35 no.6
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    • pp.237-247
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    • 2008
  • A virtual screening is the process of reducing an unmanageable number of compounds to a limited number of compounds for the target of interest by means of computational techniques such as molecular docking. And it is one of a large-scale scientific application that requires large computing power and data storage capability. Previous applications or softwares for molecular docking such as AutoDock, FlexX, Glide, DOCK, LigandFit, ViSION were developed to be run on a supercomputer, a workstation, or a cluster-computer. However the virtual screening using a supercomputer has a problem that a supercomputer is very expensive and the virtual screening using a workstation or a cluster-computer requires a long execution time. Thus we propose a service-based virtual screening system using Grid computing technology which supports a large data intensive operation. We constructed 3-dimensional chemical molecular database for virtual screening. And we designed a resource broker and a data broker for supporting efficient molecular docking service and proposed various services for virtual screening. We implemented service based virtual screening system with DOCK 5.0 and Globus 3.2 toolkit. Our system can reduce a timeline and cost of drug or new material design.

Modeling of Human Genetic Diseases Via Cellular, Reprogramming

  • Kang, Min-Yong;Suh, Ji-Hoon;Han, Yong-Mahn
    • Journal of Genetic Medicine
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    • v.9 no.2
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    • pp.67-72
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    • 2012
  • The generation of induced pluripotent stem cells (iPSCs) derived from patients' somatic cells provides a new paradigm for studying human genetic diseases. Human iPSCs which have similar properties of human embryonic stem cells (hESCs) provide a powerful platform to recapitulate the disease-specific cell types by using various differentiation techniques. This promising technology has being realized the possibility to explore pathophysiology of many human genetic diseases at the molecular and cellular levels. Furthermore, disease-specific human iPSCs can also be used for patient-based drug screening and new drug discovery at the stage of the pre-clinical test in vitro. In this review, we summarized the concept and history of cellular reprogramming or iPSC generation and highlight recent progresses for disease modeling using patient-specific iPSCs.

Mutagenic Assessment of Olmesartan Cilexetil by Bacterial Mutation Assay

  • Kim, Ji Won;Ahn, Ilyoung;Ryu, Sung Ha;Jeon, Hong Ryeol;Lee, Bong Sang;Kim, Kyu-Bong
    • Toxicological Research
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    • v.29 no.3
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    • pp.217-219
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    • 2013
  • Hypertension is a serious health problem due to high frequency and concomitant other diseases including cardiovascular and renal dysfunction. Olmesartan cilexetil is a new antihypertensive drug associated with angiotensin II receptor antagonist. This study was conducted to evaluate the mutagenicity of olmesartan cilexetil by bacterial reverse mutation test using Salmonella typhimurium (TA100, TA1535, TA98, and TA1537) and Escherichia coli (WP2 uvrA). At the concentrations of 0, 62, 185, 556, 1667, and 5000 ${\mu}g$/plate, olmesartan cilexetil was negative in both Salmonella typhimurium and Escherichia coli regardless of presence or absence of metabolic activation system (S9 mix). These results demonstrate that olmesartan cilexetil does not induce bacterial reverse mutation.

Chemical Modification of Rupestonic Acid and Preliminarily In Vitro Antiviral Activity Against Influenza A3 and B Viruses

  • Yong, Jian-Ping;Aisa, Haji Akber
    • Bulletin of the Korean Chemical Society
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    • v.32 no.4
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    • pp.1293-1297
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    • 2011
  • To improve the biological activities of rupestonic acid, 21 new rupestonic acid fatty ester derivatives (2a-2h) and aromatic ester derivatives (2i-2u) were synthesized and preliminarily evaluated for their anti-influenza activity in vitro by the national center for drug screening of China, using the Oseltamivir and Ribavirin as reference drugs. The results showed that 2l ($IC_{50}=0.5{\mu}mol/L$) exhibited potent anti-influenza $A_3$ viral activity among the synthesized compounds and was 10-fold more potent than that of the reference drug Oseltamivir ($IC_{50}=5.1{\mu}mol/L$).