• EDISON SW 활용 경진대회 논문집
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• 제4회(2015년)
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• pp.212-216
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• 2015

Oseltamivir, also known as Tamifu, is an inhibitor of neuraminidase protein which plays an essential role in proliferation and replication of influenza virus. Binding to the active site of neuraminidase, the oseltamivir prevents the protein from enzyme reaction. Conformational change of the protein(neuraminidase) should be accompanied by the enzyme reaction, but the drug inhibits the protein to deform. In this study, we examine the influence of oseltamivir on protein's conformational change in the structural and mechanical point of view. Finite element analysis of the protein can be an useful approach to investigate the influence of oseltamivir on the deformation of a protein. We suggest the finite element based protein model, and then perform the linear static analysis with the displacement loading condition based on the first two largest motion which can be obtained from the normal mode analysis. The results show that it takes more energy to change shape of the protein with an oseltamivir attached than the protein without an oseltamivir.

• 대한지역사회영양학회지
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• 제25권3호
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• pp.226-235
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• 2020

Objectives: Decreasing muscle strength in old age has become a significant health problem because it increases the risk of falls or fractures and transfers to other diseases. The precise role of dietary protein intake in preventing or reducing muscle weakness is unclear. This study examined the relationship between handgrip strength and protein intake in Korean female elderly. Methods: This was a cross-sectional study that used data from the Seventh Korean National Health and Nutrition Examination Surveys (KNHANES) on female subjects aged 65 years and older. Low handgrip strength (LHGS) was defined as a handgrip strength below than 18 kg. Dietary intake data were obtained using the 1-day 24-hour recall method. Multiple regression was performed to test whether there is an independent relationship between the grip strength and protein intake, and the association between protein intake and LHGS was confirmed through multiple logistic regression. Results: The mean age of the 2,083 elderly females was 73.3 ± 0.1 years, and the prevalence of LHGS was 35% (n=734). Elderly women with an LHGS consumed less energy, total protein, and animal-based protein than those in the normal group. A multiple regression analysis after adjusting for covariate revealed a significant positive association between the handgrip strength and energy, protein, and animal-based protein intake. Multiple logistic regression analysis showed that the odds ratio (OR) of LHGS in female elderly with the highest quartiles of consumption of energy [OR, 0.65; 95% confidence interval (CI), 0.43-0.82; P for trend=0.004], and animal-based protein [OR, 0.59; CI, 0.40-0.87; P for trend=0.037] were significantly lower than those in the lowest quartiles. Conclusions: The energy intake and animal-based protein intake were negatively associated with the LHGS. These results suggest that adequate energy intake and protein intake, particularly those from animal-based sources, for elderly women in Korea are beneficial in lowering the risk of LHGS.

• BMB Reports
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• 제37권1호
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• pp.28-34
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• 2004

The discovery of biochemical and cellular functions of unannotated gene products begins with a database search of proteins with structure/sequence homologues based on known genes. Very recently, a number of frontier groups in structural biology proposed a new paradigm to predict biological functions of an unknown protein on the basis of its three-dimensional structure on a genomic scale. Structural proteomics (genomics), a research area for structure-based functional discovery, aims to complete the protein-folding universe of all gene products in a cell. It would lead us to a complete understanding of a living organism from protein structure. Two major complementary experimental techniques, X-ray crystallography and NMR spectroscopy, combined with recently developed high throughput methods have played a central role in structural proteomics research; however, an integration of these methodologies together with comparative modeling and electron microscopy would speed up the goal for completing a full dictionary of protein folding space in the near future.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제15권2호
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• pp.111-120
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• 2015

Protein named entity identification is one of the most essential and fundamental predecessor for extracting information about protein-protein interactions from biomedical literature. In this paper, we explore the use of abstracts of biomedical literature in MEDLINE for protein name identification and present the results of the conducted experiments. We present a robust and effective approach to classify biomedical named entities into protein and non-protein classes, based on a rich set of features: orthographic, keyword, morphological and newly introduced Protein-Score features. Our procedure shows significant performance in the experiments on GENIA corpus using Random Forest, achieving the highest values of precision 92.7%, recall 91.7%, and F-measure 92.2% for protein identification, while reducing the training and testing time significantly.

• 자연과학논문집
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• 제9권1호
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• pp.25-29
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• 1997

Glucocorticoid에 의한 항염증 작용의 second messenger로 생각되어지는 annexin superfamily중 하나인 37 kDa의 단백질, lipocortin-1의 작용기작을 이해할 목적으로 in vivo에서 protein-protein interaction을 인식하는 yeast-based genetic assay인 yeast two assay를 통하여 lipocortin-1과 결합하는 단백질 유전자를 분리하여 조사하였다. 이 방법으로 실험을 수행한 결과 분리된 유전자가 human serine proteinase 유전자와 homology가 있는 것으로 밝혀졌다.

• Journal of Microbiology and Biotechnology
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• 제15권5호
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• pp.1022-1027
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• 2005

Based on plasmid display technology by the complexes of fusion protein and the encoding plasmid DNA, an in vitro selection method for high affinity DNA-binding protein was developed and experimentally demonstrated. The GAL4 DNA-binding domain (GAL4 DBD) was selected as a model DNA-binding protein, and enhanced green fluorescent protein (EGFP) was used as an expression reporter for the selection of target proteins. Error prone PCR was conducted to construct a mutant library of the model. Based on the affinity decrease with increased salt concentration, mutants of GAL4 DBD having high affinity were selected from the mutant protein library of protein-encoding plasmid complex by this method. Two mutants of (Lys33Glu, Arg123Lys, Ile127Lys) and (Ser47Pro, Ser85Pro) having high affinity were obtained from the first generation mutants. This method can be used for rapid in vitro selection of high affinity DNA-binding proteins, and has high potential for the screening of high affinity DNA-binding proteins in a sequence-specific manner.

• Genomics & Informatics
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• 제11권3호
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• pp.155-160
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• 2013

Structural information has been a major concern for biological and pharmaceutical studies for its intimate relationship to the function of a protein. Three-dimensional representation of the positions of protein atoms is utilized among many structural information repositories that have been published. The reliability of the torsional system, which represents the native processes of structural change in the structural analysis, was partially proven with previous structural alignment studies. Here, a web server providing structural information and analysis based on the backbone torsional representation of a protein structure is newly introduced. The web server offers functions of secondary structure database search, secondary structure calculation, and pair-wise protein structure comparison, based on a backbone torsion angle representation system. Application of the implementation in pair-wise structural alignment showed highly accurate results. The information derived from this web server might be further utilized in the field of ab initio protein structure modeling or protein homology-related analyses.

• Asian-Australasian Journal of Animal Sciences
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• 제17권12호
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• pp.1674-1680
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• 2004

The objective of this study was to compare the Dutch DVE/OEB system and the NRC-2001 model in the prediction of supply of protein to dairy cows from processed field tick beans. Comparisons were made in terms of 1) ruminally synthesized microbial CP, 2) truly absorbed protein in the small intestine, and 3) degraded protein balance. The results showed that the predicted values from the DVE/OEB system and the NRC-2001 model had significant correlations with high R (>0.90) values. However, using the DVE/OEB system, the overall average microbial protein supply based on available energy was 16% higher and the truly absorbed protein in the small intestine was 9% higher than that predicted by the NRC-2001 model. The difference was also found in the prediction of the degraded protein balances (DPB), which was 5% lower than that predicted based on data from the NRC-2001 model. These differences are due to considerably different factors used in calculations in the two models, although both are based on similar principles. It need to mention that this comparison was based on the limited data, the full comparison involving various types of concentrate feeds will be investigated in the future.

• 생명과학회지
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• 제14권6호
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• pp.997-1002
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• 2004

이 논문은 단백질의 기능분석을 위해 핵심적으로 요구되는 단백질 상호작용 관계정보 및 기능정보 등을 체계적으로 제공할 수 있는 WASPIFA (Web-based Assistant System for Protein-protein Interaction and function Analysis) 시스템에 대해서 다루고 있다. WASPIFA 시스템은 특정 분야에 국한해서 단편적 정보를 제공하는 기존의 단백질 기능 및 상호작용 분석 시스템과는 달리 분석하고자 하는 서열의 종합적인 정보 즉, 기능정보 및 주석정보, 도메인 정보, 상호작용 관계정보 등을 제공한다. 일반 검색 및 분석 시스템에서 제공하지 못하는 종합적인 정보들은 다양한 전처리 과정을 통해서 얻어진 데이터 및 정보 등을 시스템 내에 로컬 데이터베이스화해 놓은 것이다. 최종 사용자는 종합적인 정보를 통해서 올바른 평가와 판단을 통해서 효과적인 단백질 상호작용 분석과 기능분석을 행할 수 있다. 또한 자동관리 및 데이터 갱신 기능을 갖추고 있어 시스템 관리자가 효율적으로 시스템을 유지 및 관리할 수 있다.

• 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.