• 한국생물정보학회:학술대회논문집
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• 한국생물정보시스템생물학회 2000년도 International Symposium on Bioinformatics
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• pp.17-20
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• 2000

Structural genomics aims to provide a good experimental structure or computational model of every tractable protein in a complete genome. Underlying this goal is the immense value of protein structure, especially in permitting recognition of distant evolutionary relationships for proteins whose sequence analysis has failed to find any significant homolog. A considerable fraction of the genes in all sequenced genomes have no known function, and structure determination provides a direct means of revealing homology that may be used to infer their putative molecular function. The solved structures will be similarly useful for elucidating the biochemical or biophysical role of proteins that have been previously ascribed only phenotypic functions. More generally, knowledge of an increasingly complete repertoire of protein structures will aid structure prediction methods, improve understanding of protein structure, and ultimately lend insight into molecular interactions and pathways. We use computational methods to select families whose structures cannot be predicted and which are likely to be amenable to experimental characterization. Methods to be employed included modern sequence analysis and clustering algorithms. A critical component is consultation of the presage database for structural genomics, which records the community's experimental work underway and computational predictions. The protein families are ranked according to several criteria including taxonomic diversity and known functional information. Individual proteins, often homologs from hyperthermophiles, are selected from these families as targets for structure determination. The solved structures are examined for structural similarity to other proteins of known structure. Homologous proteins in sequence databases are computationally modeled, to provide a resource of protein structure models complementing the experimentally solved protein structures.

• BMB Reports
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• 제31권6호
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• pp.542-547
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• 1998

The main function of adipocytes in various species is to store nutrient energy in the form of triglycerides, and this function may he closely related with hormonal signaling through the plasma membrane of adipocytes. Using SDS-PAGE, two-dimensional gel electrophoresis, and a membrane biotinylation technique, we have identified a 55KDa protein (55K protein) from the plasma membrane fraction of adipocytes, with an isoelectric point (pI) of 8.1-8.3. However, this 55K protein was not observed with a two-dimensional gel electrophoresis carried out on plasma membrane fractions prepared from the liver, heart, and kidney tissues. An analysis of the 12 amino acids sequence at the N-terminal of the 55K protein showed that it has a similar sequence to that of bovine serum albumin.

• 정보처리학회논문지D
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• 제12D권1호
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• pp.51-62
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• 2005

하나의 아미노산 서열의 기능이 밝혀지면, 그와 유사한 서열 구조를 가지고 있는 서열의 기능도 유추해 낼 수 있다. 또한 기능이 밝혀진 단백질의 아미노산 서열을 변화시키거나 유용한 단백질을 만드는 것도 가능하다. 이 과정에서 하나의 원본 단백질 서열에 대하여 다른 서열 구성을 가지고 있는 여러 가지 단백질 서열이 생겨 날 수 있다. 여기서, 원본 단백질을 변화시켜 만든 단백질 버전 서열과 단백질의 주석정보를 저장 및 관리하는 체계적인 기법이 요구된다. 따라서 이 논문에서는 로컬 서열 정렬 기법을 적용한 단백질 아미노산 서열의 버전관리 기법과 트리거를 적용한 단백질 주석데이터의 이력 관리 기법을 제시하였다. 제안된 기법을 통하여 원본 서열과 버전서열의 유사도 측정 및 버전 관리의 자동화와 저장 공간을 감소시킬 수 있다. 또한 단백질 정보의 이력을 저장하고 서열 변화 정보를 분석하여 돌연변이 연구에 의한 유용한 단백질 개발 및 신약 개발이 가능하다.

• 한국식생활문화학회지
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• 제17권3호
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• pp.289-298
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• 2002

This study was conducted to find sensitive indicator of food intake and specific food group related to cognitive function and to analyze the pathway among factors affecting food intake and cognitive function of the aged. 179 people over 50 years old were investigated and all the data were analyzed by SPSS 10.0 package. Food frequency was more sensitive indicator to show the relationship between food intake and cognitive function of the aged than the numbers of standard amount of food eaten. Consumption of grains and starch, meat, fish, eggs and beans were strongly related to cognitive function of the aged and intake of vegetables and fruits also have relationship with it. Moreover, the more frequent eating the carbohydrate and the protein, the higher the cognitive level of the aged. Age, education period, income, blood pressure, duration after retirement, frequency of physical activity and BMI were correlated with food intake and cognitive function of the aged. Among them, age and frequency of physical activity were most strongly correlated with food intake, and education period with cognitive function of them. This investigation shows that more stable intake of carbohydrate and protein containing foods need to be supplied to low income aged and the importance of physical activity of the aged must be emphasized with food intake for better life of the aged.

• 약학회지
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• 제52권3호
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• pp.225-231
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• 2008

To clarify effects of the structural changes of Fur protein on the resistance to metronidazole (Mtz), the mutational analysis of structure and function of the protein in Helicobacter pylori (Hp) was undertaken. It was identified that some changes in Hp Fur protein resulted in increase of resistance to Mtz, and other changes resulted in decrease of resistance. Increase of Mtz resistance came from the enzyme's decreased ability of reducing prodrug Mtz to the form of bactericidal agent. Some sites that affects Mtz resistance (i) in Fur's N terminal extension, and (ii) in its central region, which links DNA binding and Fe-binding modules were identified. It was also found that the addition of FLAG tag to Fur's C terminus also significantly impairs Fur function.

• Journal of Plant Biotechnology
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• 제43권2호
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• pp.204-212
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• 2016

환경스트레스 중의 하나인 저온에 대한 생육기의 포도나무의 반응을 분석하고자 -$2^{\circ}C$에서 4일 동안 저온처리 한두 품종('Campbell Early'와 'Muscat Baily A')의 포도나무잎을 이용하여 전사체를 분석하였고 특이발현유전자(differentially expressed genes, DEGs)를 검색하였다. 영하의 저온에 반응한 'Campbell Early'의 DEG를 기능별로 분석한 결과 생물대사에서 17,424개, 세포구성에서 28,954개, 분자기능에서는 6,972개의 유전자와 관련이 있었다. 발현이 유도되는 유전자로는 dehydrin xero 1, K-box region and MADS-box transcription factor family protein과 MYB domain protein 36이 있으며, 억제되는 유전자로는 light-harvesting chlorophyll B-binding protein 3, FASCICLIN-like arabinoogalactan 9와 pectin methylesterase 61 등이 있었다. 'Muscat Baily A'의 DEG는 생물대사에서 1,157개, 세포구성에서 1,350개, 분자기능에서는 431개의 유전자와 관련이 있었다. 발현이 유도되는 유전자로는 NB-ARC domain-containing disease resistance protein, fatty acid hydrozylase syperfamily와 isopentenyltransferase 3이 있으며, 억제되는 유전자로는 binding, IAP-like protein 1과 pentatricopeptide repeat superfamily protein 등이 있었다. Real-time PCR을 이용하여 영하의 저온에서 특이적으로 발현하는 유전자들을 검정하였으며, InterPro Scan을 통해 단백질 도메인을 분석한 결과 두 품종 모두에서 ubiquitin-protein ligase가 가장 많았다. 영하의 저온에 노출된 신초의 전사체 정보를 바탕으로 포도나무에서 저온 내성을 발현하는 기작을 연하는 데에 분자수준의 정보를 제공하고, 내한성 포도를 육종하는데 이용될 수 있을 것이다.

• 원예과학기술지
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• 제30권6호
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• pp.734-742
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• 2012

본 연구는 배추의 유전자 기능분석을 위한 RNAi 유전자 침묵 기법과 T-DNA 삽입 기법을 비교하기 위해 수행하였다. 두 종류의 형질전환 계통이 이용되었으며 BrSAMS-knockout(KO) 계통은 T-DNA 삽입으로 한 개의 Brassica rapa S-adenosylmethionine synthetase(BrSAMS) 유전자가 기능을 상실한 계통이었으며 BrSAMS-knockdown(KD) 계통은 RNAi 방법을 통해 BrSAMS 유전자들의 발현이 억제된 계통이었다. KO 계통과 KD 계통의 microarray 분석 결과에서는 SAMS 유전자와 관련된 sterol, 자당, homogalacturonan 생합성 및 glutaredoxin-related protein, serine/threonine protein kinase, 그리고 gibberellin-responsive protein 유전자들의 발현 수준이 뚜렷한 차이를 보여 주었다. 그러나 KO 계통의 유전자 발현 양상은 하나의 BrSAMS 유전자가 기능을 상실하였음에도 불구하고 대조 계통과 비교하여 RNAi기법을 적용한 KD 계통에 비해 큰 차이를 보여주지 못했다. 또한 직접적으로 SAMS 유전자와 관련된 폴리아민과 에틸렌 합성 유전자들의 발현 변화도 KD 계통에서 더 잘 나타났다. 본 연구에서 microarray 결과를 이용한 KO 계통의 BrSAMS 기능분석은 배추과식물의 게놈 triplication 발생으로 인하여 다수로 존재하는 SAMS 유전자들 때문에 명확한 결론을 얻을 수 없었다. 결론적으로 배추와 같은 배수체 작물의 유전자 기능 분석은 RNAi silencing에 의한 유전자 knock-down 기법이 T-DNA 삽입에 의한 knock-out 기법보다 더욱 효율적인 것으로 나타났다.

• 한국생물정보학회:학술대회논문집
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• 한국생물정보시스템생물학회 2003년도 제2차 연례학술대회 발표논문집
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• pp.26-51
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• 2003

Large scale protein interaction maps provide a new, global perspective with which to analyse protein function. PSIMAP, the Protein Structural Interactome Map, is a database of all the structurally observed interactions between superfamilies of protein domains with known three-dimensional structure in thePDB. PSIMAP incorporates both functional and evolutionary information into a single network. It makes it possible to age protein domains in terms of taxonomic diversity, interaction and function. One consequence of it is to predict the most important protein domain structure in evolution. We present a global analysis of PSIMAP using several distinct network measures relating to centrality, interactivity, fault-tolerance, and taxonomic diversity. We found the following results: ${\bullet}$ Centrality: we show that the center and barycenter of PSIMAP do not coincide, and that the superfamilies forming the barycenter relate to very general functions, while those constituting the center relate to enzymatic activity. ${\bullet}$ Interactivity: we identify the P-loop and immunoglobulin superfamilies as the most highly interactive. We successfully use connectivity and cluster index, which characterise the connectivity of a superfamily's neighbourhood, to discover superfamilies of complex I and II. This is particularly significant as the structure of complex I is not yet solved. ${\bullet}$ Taxonomic diversity: we found that highly interactive superfamilies are in general taxonomically very diverse and are thus amongst the oldest. This led to the prediction of the oldest and most important protein domain in evolution of lift. ${\bullet}$ Fault-tolerance: we found that the network is very robust as for the majority of superfamilies removal from the network will not break up the network. Overall, we can single out the P-loop containing nucleotide triphosphate hydrolases superfamily as it is the most highly connected and has the highest taxonomic diversity. In addition, this superfamily has the highest interaction rank, is the barycenter of the network (it has the shortest average path to every other superfamily in the network), and is an articulation vertex, whose removal will disconnect the network. More generally, we conclude that the graph-theoretic and taxonomic analysis of PSIMAP is an important step towards the understanding of protein function and could be an important tool for tracing the evolution of life at the molecular level.

• 한국생물정보학회:학술대회논문집
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• 한국생물정보시스템생물학회 2004년도 The 3rd Annual Conference for The Korean Society for Bioinformatics Association of Asian Societies for Bioinformatics 2004 Symposium
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• pp.265-271
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• 2004

The interaction network of protein -protein plays an important role to understand the various biological functions of cells. Currently, the high -throughput experimental techniques (two -dimensional gel electrophoresis, mass spectroscopy, yeast two -hybrid assay) provide us with the vast amount of data for protein-protein interaction at the proteome scale. In order to recognize the role of each protein in their network, the efficient bioinformatical and computational analysis methods are required. We propose a systematic and mathematical method which can analyze the protein -protein interaction network rigorously and enable us to capture the biological and physical essence of a topological character and stability of protein -protein network, and sensitivity of each protein along the biological pathway of their network. We set up a Laplacian matrix of spectral graph theory based on the protein-protein network of yeast proteome, and perform an eigenvalue analysis and apply a perturbation method on a Laplacian matrix, which result in recognizing the center of protein cluster, the identity of hub proteins around it and their relative sensitivities. Identifying the topology of protein -protein network via a Laplacian matrix, we can recognize the important relation between the biological pathway of yeast proteome and the formalism of master equation. The results of our systematic and mathematical analysis agree well with the experimental findings of yeast proteome. The biological function and meaning of each protein cluster can be explained easily. Our rigorous analysis method is robust for understanding various kinds of networks whether they are biological, social, economical...etc

• 한국작물학회지
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• 제64권4호
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• pp.373-383
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• 2019

야생 호밀 염색체 첨가 계통의 단백질 발현 양상을 보통 밀과 비교함으로써 발현의 차이를 보이는 단백질의 기능을 동정함으로써 야생 호밀의 작물학적 유용 가치를 확인하고자 이 연구를 수행하였다. 전반적으로 야생 호밀 염색체 첨가계통은 보통 밀의 유전적 배경을 바탕으로 건조와 열에 대한 비생물학적 스트레스에 대한 저항성 관련 단백질과 바이러스성 병원균에 대한 저항성 관련 단백질 및 척박한 환경에 적응하는 생리대사에 관련된 단백질을 가지고 있는 것을 확인하였다. 하지만 아직 야생 호밀의 단백질 기능에 대한 정보와 작물학적 이용에 대한 연구가 미흡한 상태이다. 앞으로 국내 야생 호밀의 유용 유전자원으로써의 작물학적 이용과 기능에 대한 지속적인 연구가 필요하다.