• Title/Summary/Keyword: Plant Database

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Garlic Phytocompounds Possess Anticancer Activity by Specifically Targeting Breast Cancer Biomarkers - an in Silico Study

  • Roy, Nabarun;Davis, Sangeetha;Narayanankutty, Arunaksharan;Nazeem, PA;Babu, TD;Abida, PS;Valsala, PA;Raghavamenon, Achuthan C
    • Asian Pacific Journal of Cancer Prevention
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    • v.17 no.6
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    • pp.2883-2888
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    • 2016
  • Background: Breast cancer (BC) is a serious lifestyle disease. There are several prognostic biomarkers like nuclear receptors whose over-expression is associated with BC characteristics. These biomarkers can be blocked by compounds with anti-cancer potential but selection must be made on the basis of no adverse side effects. This study is focused on finding of compounds from a plant source garlic. Materials and Methods: Twenty compounds from garlic and five targets considered involved in BC were retrieved from Pubchem database and Protein Data Bank respectively. They were docked using Accelrys Discovery Studio (DS) 4.0. The compounds which showed interaction were checked for drug likeliness. Results: Docking studies and ADMET evaluation revealed twelve compounds to be active against the targets. All the compounds displayed highly negative dock scores which indicated good interactions. Conclusions: The results of this study should help researchers and scientists in the pharmaceutical field to identify drugs based on garlic.

Distribution of Indicator Plant of Climate Change in Major Islands of the Korean Peninsula (한반도 주요 도서 지역의 기후변화 지표 식물 분포)

  • Kim, Hyun Hee;Mizuno, Kazuharu;Lee, Ho Sang;Koo, Jae Gyun;Kong, Woo Seok
    • Journal of Environmental Science International
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    • v.30 no.1
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    • pp.29-43
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    • 2021
  • This study analyzed the status of climate-change indicator plants native to the main islands of the Korean peninsula, while elucidating their distribution characteristics. Information on flora from over 129 island locations, comprising more than 100 species of native plants, was collected, compiled into a database, and utilized as raw data. The distribution of 193 climate-change indicator plants was confirmed. The distribution area of broadleaf evergreen trees and ferns, including Mallotus japonicus and Cyrtomium falcatum, was relatively wide. In contrast, the distribution of common northern plants such as Corydalis turtschaninovii and Malus baccata was limited. If global warming persists, northern plant distribution is expected to decrease rapidly in the Korean Peninsula island region, while the northern limit line of the southern plants is expected to migrate further northward. During this process, it is likely that the plant congregation structure and species diversity within the island region will change dynamically. In this study, comparative analyses between species and regions were conducted by assessing the relative frequency of their occurrence, and six types of botanical geographic distribution patterns were noted.

A Study on Managing of Metal Loss by Flow-Accelerated Corrosion in the Secondary Piping of CANDU Nuclear Plants (CANDU형 원전 2차 배관의 침부식 감육 관리방법에 관한 연구)

  • 심상훈;송정수;윤기봉;황경모;진태은;이성호
    • Journal of Energy Engineering
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    • v.11 no.1
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    • pp.18-25
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    • 2002
  • One of the most serious concern in nuclear power plant piping maintenance is thickness reduction due to flow-accelerated corrosion (FAC). Since the FAC occurs under specific conditions of pH, dissolved oxygen, temperature, flow velocity, steam quality of the fluid and materials and geometry of the piping, a systematic approach is required for managing the FAC problem. In this study, construction of a secondary piping database, analyzing the FAC rate using the database and predicting the residual life was performed for a domestic CANDU nuclear power plant. Also FAC mechanism and factors affecting FAC were reviewed. By showing a case study on analysis for a pipe line between a separator and a flash tank, a procedure for managing FAC problem is suggested. The procedure proposed in this paper can be widely applied to the secondary piping of other domestic nuclear polder plants.

Development of Intelligent Database Program for PSI/ISI Data Management of Nuclear Power Plant (Part II) (원자력발전소 PSI/ISI 데이더 관리를 위한 지능형 데이더베이스 프로그램 개발 (제 2보))

  • Park, Un-Su;Park, Ik-Keun;Um, Byong-Guk;Lee, Jong-Po;Han, Chi-Hyun
    • Journal of the Korean Society for Nondestructive Testing
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    • v.20 no.3
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    • pp.200-205
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    • 2000
  • In a previous paper, we have discussed the intelligent Windows 95-based data management program(IDPIN) which was developed for effective and efficient management of large amounts of pre-/in-service inspection(PSI/ISI) data of Kori nuclear power plants. The IDPIN program enables the prompt extraction of previously conducted PSI/ISI conditions and results so that the time-consuming data management, painstaking data processing and analysis of the past are avoided. In this study, the intelligent Windows based data management program(WS-IDPIN) has been developed as an effective data management of PSI/ISI data for the Wolsong nuclear power plants. The WS-IDPIN program includes the modules of comprehensive management and analysis of PSI/ISI results, statistical reliability assessment program of PSI/ISI results(depth and length sizing performance etc), standardization of UT report form and computerization of UT results. In addition, the program can be further developed as a unique PSI/ISI data management expert system which can be part of the PSI/ISI total support system for Korean nuclear power plants.

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Insilico profiling of microRNAs in Korean ginseng (Panax ginseng Meyer)

  • Mathiyalagan, Ramya;Subramaniyam, Sathiyamoorthy;Natarajan, Sathishkumar;Kim, Yeon Ju;Sun, Myung Suk;Kim, Se Young;Kim, Yu-Jin;Yang, Deok Chun
    • Journal of Ginseng Research
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    • v.37 no.2
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    • pp.227-247
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    • 2013
  • MicroRNAs (miRNAs) are a class of recently discovered non-coding small RNA molecules, on average approximately 21 nucleotides in length, which underlie numerous important biological roles in gene regulation in various organisms. The miRNA database (release 18) has 18,226 miRNAs, which have been deposited from different species. Although miRNAs have been identified and validated in many plant species, no studies have been reported on discovering miRNAs in Panax ginseng Meyer, which is a traditionally known medicinal plant in oriental medicine, also known as Korean ginseng. It has triterpene ginseng saponins called ginsenosides, which are responsible for its various pharmacological activities. Predicting conserved miRNAs by homology-based analysis with available expressed sequence tag (EST) sequences can be powerful, if the species lacks whole genome sequence information. In this study by using the EST based computational approach, 69 conserved miRNAs belonging to 44 miRNA families were identified in Korean ginseng. The digital gene expression patterns of predicted conserved miRNAs were analyzed by deep sequencing using small RNA sequences of flower buds, leaves, and lateral roots. We have found that many of the identified miRNAs showed tissue specific expressions. Using the insilico method, 346 potential targets were identified for the predicted 69 conserved miRNAs by searching the ginseng EST database, and the predicted targets were mainly involved in secondary metabolic processes, responses to biotic and abiotic stress, and transcription regulator activities, as well as a variety of other metabolic processes.

Construction of Aquatic Environmental Database Near Wolsong Nuclear Power Plant (월성 원전 주변 수생 환경 자료 구축)

  • Suh, Kyung-Suk;Min, Byung-Il;Yang, Byung-Mo;Kim, Jiyoon;Park, Kihyun;Kim, Sora
    • Journal of Nuclear Fuel Cycle and Waste Technology(JNFCWT)
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    • v.17 no.2
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    • pp.235-243
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    • 2019
  • Radioactive materials are released into the air and deposited on the surface soil after a nuclear accident. Radionuclides deposited in soil are transported by precipitation to nearby environments and contaminate the surface water system. Basic data on surface watershed and soil erosion models have been collected and analyzed to evaluate the behavior of radionuclides deposited on surface soil after a nuclear accident. Data acquisition and analysis in aquatic environment were performed to investigate the physical characteristics and variation of biota in rivers and lakes of the Nakdong river area near the Wolsong nuclear power plant. For these purposes, a digital map, and hydrological, water quality and biota data were gathered and a systematic database (DB) was constructed in connection with them. Constructed aquatic DB will be supplied and used in surface watershed and soil erosion models for investigation of long-term movement of radionuclides in adsorptive form in surface soil. Finally, basic data and established models will be utilized for general radiological impact assessment in aquatic environment.

Development of Turbine Rotor Bending Straightening Numerical Model using the High Frequency Heating Equipment (고주파 가열 장비를 활용한 터빈로터 휨 교정수식모델 개발)

  • Park, Junsu;Hyun, Jungseob;Park, Hyunku;Park, Kwangha
    • KEPCO Journal on Electric Power and Energy
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    • v.7 no.2
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    • pp.269-275
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    • 2021
  • The turbine rotor, one of the main facilities in a power plant, it generates electricity while rotating at 3600 RPM. Because it rotates at high speed, it requires careful management because high vibration occurs even if it is deformed by only 0.1mm. However, bending occurs due to various causes during turbine operating. If turbine rotor bending occurs, the power plant must be stopped and repaired. In the past, straightening was carried out using a heating torch and furnace in the field. In case of straightening in this way, it is impossible to proceed systematically, so damage to the turbine rotor may occur and take long period for maintenance. Long maintenance period causes excessive cost, so it is necessary to straighten the rotor by minimizing damage to the rotor in a short period of time. To solve this problem, we developed a turbine rotor straightening equipment using high-frequency induction heating equipment. A straightening was validated for 500MW HIP rotor, and the optimal parameters for straightening were selected. In addition, based on the experimental results, finite element analysis was performed to build a database. Using the database, a straightening amount prediction model available for rotor straightening was developed. Using the developed straightening equipment and straightening prediction model, it is possible to straightening the rotor with minimized damage to the rotor in a short period of time.

Nuclear Power Plant Severe Accident Diagnosis Using Deep Learning Approach (딥러닝 활용 원전 중대사고 진단)

  • Sung-yeop, Kim;Yun Young, Choi;Soo-Yong, Park;Okyu, Kwon;Hyeong Ki, Shin
    • Journal of Korea Society of Industrial Information Systems
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    • v.27 no.6
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    • pp.95-103
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    • 2022
  • Quick and accurate understanding of the situation in a severe accident is essential for conducting the appropriate accident management and response using the accident diagnosis information. This study employed deep learning technology to diagnose severe accidents through the major safety parameters transferred from a nuclear power plant (NPP) to AtomCARE. After selecting the major accident scenarios to consider, a learning database was established for particular scenarios affiliated with major scenarios by performing a large number of severe accident analyses using MAAP5 code. The severe accident diagnosis technology, which classifies detailed accident scenarios using the major safety parameters from NPPs, was developed by training it with the established database . Verification and validation were conducted by blind test and principal component analysis. The technology developed in this study is expected to be extended and applied to all severe accident scenarios and be utilized as a base technology for quick and accurate severe accident diagnosis.

Effect of Climate Change Characteristics on Operation of Water Purification Plant (정수장 운영에 영향을 미치는 기후변화 요인 분석)

  • Youjung Jang;Hyeonwoo Choi;Seojun Lee;Jaeyoung Choi;Hyeonsoo Choi;Heekyong Oh
    • Journal of Korean Society on Water Environment
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    • v.40 no.2
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    • pp.89-100
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    • 2024
  • Climate change has a broad impact on the entire water environment, and this impact is growing. Climate adaptation in water supply systems often involves quantity and quality control, but there has been a lack of research examining the impacts of climatic factors on water supply productivity and operation conditions. Therefore, the present study focused on, first, building a database of climatic factors and water purification operating conditions, and then identifying the correlations between factors to reveal their impacts. News big data was analyzed with keywords of climatic factors and water supply systems in either nationwide or region-wide analyses. Metropolitan area exhibited more issues with cold waves whereas there were more issues with drought in the Southern Chungcheong area. A survey was conducted to seek experts' opinions on the climatic impacts leading to these effects. Pre-chlorination due to drought, high-turbidity of intake water due to rainfall, an increase of toxins in intake water due to heat waves, and low water temperature due to cold waves were expected. Pearson correlation analysis was conducted based on meteorological data and the operating data of a water purification plant. Heavy rain resulted in 13 days of high turbidity, and the subsequent low turbidity conditions required 3 days of high coagulant dosage. This insight is expected to help inform the design of operation manuals for waterworks in response to climate change.

Molecular Cloning and Characterization of the Yew Gene Encoding Squalene Synthase from Taxus cuspidata

  • Huang, Zhuoshi;Jiang, Keji;Pi, Yan;Hou, Rong;Liao, Zhihua;Cao, Ying;Han, Xu;Wang, Qian;Sun, Xiaofen;Tang, Kexuan
    • BMB Reports
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    • v.40 no.5
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    • pp.625-635
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    • 2007
  • The enzyme squalene synthase (EC 2.5.1.21) catalyzes a reductive dimerization of two farnesyl diphosphate (FPP) molecules into squalene, a key precursor for the sterol and triterpene biosynthesis. A full-length cDNA encoding squalene synthase (designated as TcSqS) was isolated from Taxus cuspidata, a kind of important medicinal plants producing potent anti-cancer drug, taxol. The full-length cDNA of TcSqS was 1765 bp and contained a 1230 bp open reading frame (ORF) encoding a polypeptide of 409 amino acids. Bioinformatic analysis revealed that the deduced TcSqS protein had high similarity with other plant squalene synthases and a predicted crystal structure similar to other class I isoprenoid biosynthetic enzymes. Southern blot analysis revealed that there was one copy of TcSqS gene in the genome of T. cuspidata. Semi-quantitative RT-PCR analysis and northern blotting analysis showed that TcSqS expressed constitutively in all tested tissues, with the highest expression in roots. The promoter region of TcSqS was also isolated by genomic walking and analysis showed that several cis-acting elements were present in the promoter region. The results of treatment experiments by different signaling components including methyl-jasmonate, salicylic acid and gibberellin revealed that the TcSqS expression level of treated cells had a prominent diversity to that of control, which was consistent with the prediction results of TcSqS promoter region in the PlantCARE database.