• Journal of Sasang Constitutional Medicine
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• v.13 no.1
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• pp.17-23
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• 2001

Purpose This study was carried out ro apply the knowledge of bioinformatics to the quantification of constitutional information. Methods To objectify consitirutional knowledge, several uselful methods including Bayesian estimate, position specific score matrix, entropy, phylogenetic tree, simulated annealing were discussed. Results and Conclusion It is obvious that bioinformatic methods can be the most important tool for the objectification of constitutional medicine.

• Proceedings of the Korean Information Science Society Conference
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• 2007.06b
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• pp.32-35
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• 2007

Bioinformatics의 목표는 생물학적인 질의를 해결하는 것과 생물학자들이 수집된 데이터를 분석하고 검색을 하여 생물학자들이 정확한 일을 수행하는 것이다. 인터넷은 여러 조사 그룹의 데이터베이스에 동시에 접근가능한 수단을 제공했으나 이러한 분산 환경에서 많은 양의 데이터는 전송 시의 시간 지연 문제와 최종 검색시의 느린 검색 속도 문제를 나타낸다. 데이터 클러스터링은 데이터의 검색시 이러한 문제점을 해결하기 위하여 이용될 수 있는 방법이지만 단순 적용시에는 데이터의 양에 비례하는 실행 시간이 또 다른 문제를 발생시킨다. 본 논문에서는 바이오데이터의 효율적인 클러스터링을 위한 개선된 분산 클러스터링 시나리오와 이를 위해 수정된 K-means 알고리즘을 제시한다. 최종 실험 결과는 20% 이상 향상된 실행 속도를 보여준다.

• Molecules and Cells
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• v.39 no.1
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• pp.53-59
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• 2016

Peroxiredoxins are cysteine-dependent peroxide reductases that group into 6 different, structurally discernable classes. In 2011, our research team reported the application of a bioinformatic approach called active site profiling to extract active site-proximal sequence segments from the 29 distinct, structurally-characterized peroxiredoxins available at the time. These extracted sequences were then used to create unique profiles for the six groups which were subsequently used to search GenBank(nr), allowing identification of ~3500 peroxiredoxin sequences and their respective subgroups. Summarized in this minireview are the features and phylogenetic distributions of each of these peroxiredoxin subgroups; an example is also provided illustrating the use of the web accessible, searchable database known as PREX to identify subfamily-specific peroxiredoxin sequences for the organism Vitis vinifera (grape).

• Journal of Microbiology and Biotechnology
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• v.32 no.2
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• pp.170-175
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• 2022

3-Hydroxypropionic acid (3HP) is a platform chemical and can be converted into other valuable C3-based chemicals. Because a large amount of glycerol is produced as a by-product in the biodiesel industry, glycerol is an attractive carbon source in the biological production of 3HP. Although eight 3HP-producing aldehyde dehydrogenases (ALDHs) have been reported so far, the low conversion rate from 3-hydroxypropionaldehyde (3HPA) to 3HP using these enzymes is still a bottleneck for the production of 3HP. In this study, we elucidated the substrate binding modes of the eight 3HP-producing ALDHs through bioinformatic and structural analysis of these enzymes and selected protein engineering targets for developing enzymes with enhanced enzymatic activity against 3HPA. Among ten AbKGSADH variants we tested, three variants with replacement at the Arg281 site of AbKGSADH showed enhanced enzymatic activities. In particular, the AbKGSADH^R281Y variant exhibited improved catalytic efficiency by 2.5-fold compared with the wild type.

• Journal of Mycology and Infection
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• v.24 no.2
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• pp.37-44
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• 2019

To date, hundreds of fungal genomes have been sequenced, and many more are underway. Recently developed cutting-edge techniques generate very large amounts of data, and the field of fungal genomics in dermatology has consequently evolved substantially. Methodological improvements have broadened the scope of large-scale ecological studies in dermatology, including biodiversity assessments and genomic identification of fungi. Here, we aimed to provide a brief introduction to bioinformatic approaches to fungal genomics in the field of dermatology. We described the history and basic concepts of fungal genomics and presented sequencing-based techniques for fungal identification, including a list of the revised taxa of dermatophytes, as determined by current phylogenetic analysis. Finally, we discussed the emerging trends in fungal genomics in dermatology, such as next-generation sequencing.

• Microbiology and Biotechnology Letters
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• v.52 no.3
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• pp.339-341
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• 2024

In a previous study, Salmonella Typhimurium-specific phage vB_SalA_KFSST3, which possess antibiofilm activity, was isolated and purified from wastewater used in slaughterhouses. This study aimed to perform bioinformatic analyses to investigate the genes associated with its antibiofilm activity. Phage genome consisted of a single chromosome of 156,555 bp with a GC content of 44.8%. Among its 202 open reading frames (ORFs), three tail spike proteins (TSPs; orf141, orf142, orf143) were identified with high confidence. All TSPs were predicted to encode putative depolymerase activities, including two endoglycosidases and one endorhamnosidase. The genome has been deposited in GenBank under the accession number PP_994976.1.

• The Journal of the Korea Contents Association
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• v.18 no.4
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• pp.99-113
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• 2018

Recently, global warming has widened the habitat of mosquitoes and infection chances for mosquito-borne diseases are increasing. Flavivirus is a typical mosquito-borne virus. Flaviviruses with a relatively high frequency of infection in Asian countries include Zika, Dengue, and Japanese encephalitis viruses. Although distinctive diagnosis of flaviviruses is required because the symptoms and therapeutic method differ, there is no diagnostic method that can distinguish them accurately yet. In this study, we propose distinctive diagnosis method of flaviviruses using informations and analysis tools constructed in bioinformatic databases. The envelope protein and non-structural protein 1 which are useful protein for the immuno-diagnostics of three flaviviruses were selected. Their homology was analyzed by multiple sequence alignments and epitope candidates consisting of 10-15 amino acids were selected. Finally two epitopes were suggested to be most useful by immunogenicity analysis and 3D structure prediction. These approaches and results are expected to be great value in the distinctive diagnosis of three flaviviruses with a high frequency of infection in Asian countries.

• Journal of Life Science
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• v.24 no.1
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• pp.1-7
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• 2014

Eukaryotic gene expression is an important process, which is initiated by several transcription factors and RNA polymerases that occupy the promoter region of genomic DNA. Although there are many experiments to identify the promoter region in a gene, it is time and labor consuming to finalize it. In this study, we utilized bioinformatic programs, including Ensembl, NCBI, and CpG plots, to identify the cloning promoter region in SETDB1 genomic DNA. We performed PCR amplification to obtain the SETDB1 promoter on an approximately 2 kb region upstream from the TSS named SETDB1-P1. The PCR product was ligated with TA cloning vectors, and we confirmed the insert size using restriction enzyme digestion. Sequentially, the insert was subcloned into a pGL3-luc vector to produce pGL3-SETDB1- P1-luc and then confirmed by DNA sequencing. We also obtained a fragmented PCR product called P2 and P3 and performed a luciferase assay using pGL3-SETDB1-P1-luc transfection. We found that several anticancer drugs, including taxol, 4-FU, and doxorubicin, decreased the promoter activity of SETDB1. We obtained consistent data on the regulation of SETDB1 gene expression after anticancer drug treatment using Western blot analysis and RT-PCR. Our results suggest that promoter cloning of the human SETDB1 gene utilizing bioinformatics is a very useful and timesaving approach to study gene expression.

• Journal of Neurogastroenterology and Motility
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• v.24 no.4
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• pp.656-668
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• 2018

Background/Aims MicroRNAs (miRNAs) were reported to be responsible for intestinal permeability in diarrhea-predominant irritable bowel syndrome (IBS-D) rats in our previous study. However, whether and how miRNAs regulate visceral hypersensitivity in IBS-D remains largely unknown. Methods We established the IBS-D rat model and evaluated it using the nociceptive visceral hypersensitivity test, myeloperoxidase activity assay, restraint stress-induced defecation, and electromyographic (EMG) activity. The distal colon was subjected to miRNA microarray analysis followed by isolation and culture of colonic epithelial cells (CECs). Bioinformatic analysis and further experiments, including dual luciferase assays, quantitative real-time polymerase chain reaction, western blot, and enzyme-linked immunosorbent assay, were used to detect the expression of miRNAs and how it regulates visceral hypersensitivity in IBS-D rats. Results The IBS-D rat model was successfully established. A total of 24 miRNAs were differentially expressed in the distal colon of IBS-D rats; 9 were upregulated and 15 were downregulated. Among them, the most significant upregulation was miR-200a, accompanied by downregulation of cannabinoid receptor 1 (CNR1) and serotonin transporter (SERT). MiR-200a mimic markedly inhibited the expression of CNR1/SERT. Bioinformatic analysis and luciferase assay confirmed that CNR1/SERT are direct targets of miR-200a. Rescue experiments that overexpressed CNR1/SERT significantly abolished the inhibitory effect of miR-200a on the IBS-D rats CECs. Conclusions This study suggests that miR-200a could induce visceral hyperalgesia by targeting the downregulation of CNR1 and SERT, aggravating or leading to the development and progression of IBS-D. MiR-200a may be a regulator of visceral hypersensitivity, which provides potential targets for the treatment of IBS-D.

• Korean Journal of Clinical Laboratory Science
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• v.55 no.4
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• pp.235-243
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• 2023

As next-generation sequencing has been developed and used widely, RNA-sequencing (RNA-seq) has rapidly emerged as the first choice of tools to validate global transcriptome profiling. With the significant advances in RNA-seq, various types of RNA-seq have evolved in conjunction with the progress in bioinformatic tools. On the other hand, it is difficult to interpret the complex data underlying the biological meaning without a general understanding of the types of RNA-seq and bioinformatic approaches. In this regard, this paper discusses the two main sections of RNA-seq. First, two major variants of RNA-seq are described and compared with the standard RNA-seq. This provides insights into which RNA-seq method is most appropriate for their research. Second, the most widely used RNA-seq data analyses are discussed: (1) exploratory data analysis and (2) pathway enrichment analysis. This paper introduces the most widely used exploratory data analysis for RNA-seq, such as principal component analysis, heatmap, and volcano plot, which can provide the overall trends in the dataset. The pathway enrichment analysis section introduces three generations of pathway enrichment analysis and how they generate enriched pathways with the RNA-seq dataset.