• Proceedings of the Korean Society for Bioinformatics Conference
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• 2003.10a
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• pp.86-94
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• 2003

Electronically available biological literature has been accumulated exponentially in the course of time. So, researches on automatically acquiring knowledge from these tremendous data by text mining technology become more and more prosperous. However, most of the previous researches are technology oriented and are not well focused in practical extraction target, hence result in low performance and inconvenience for the bio-researchers to actually use. In this paper, we propose a more biology oriented target domain specific text mining system, that is, POSTECH bio-text mining system (POSBIOTM), for signal transduction pathway extraction, especially for G protein-coupled receptor (GPCR) pathway. To reflect more domain knowledge, we specify the concrete target for pathway extraction and define the minimal pathway domain ontology. Under this conceptual model, POSBIOTM extracts interactions and entities of pathways from the full biological articles using a machine learning oriented extraction method and visualizes the pathways using JDesigner module provided in the system biology workbench (SBW) [14]

• Korean Journal of Microbiology
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• v.47 no.3
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• pp.188-193
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• 2011

As a specific and effective therapeutic genetic material against hepatitis C virus (HCV) multiplication, HCV internal ribosome entry site (IRES)-targeting hammerhead ribozyme which activity is allosterically regulated by HCV regulatory protein, NS5B RNA replicase, was constructed. The allosteric ribozyme was composed of sequence of RNA aptamer to HCV NS5B, communication module sequence which can transfer structural transition for inducing ribozyme activity upon binding NS5B to the aptamer, and sequence of ribozyme targeting +382 nucleotide of HCV IRES. With real-time PCR analysis, the ribozyme was found to efficiently inhibit HCV replicon replication in cells. Of note, the allosteric ribozyme was shown to inhibit HCV replicon replication more efficiently than either HCV genome-targeting ribozyme or NS5B aptamer only. This allosteric ribozyme can be used as a lead genetic agent for the specific and effective suppression of HCV replication.

• Journal of IKEEE
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• v.13 no.3
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• pp.18-23
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• 2009

FEATURE is a computational method to recognize functional and structural sites for automatic protein function prediction. By profiling physicochemical properties around residues, FEATURE can characterize and predict functional and structural sites in 3D protein structures in a high-throughput manner. Despite its effectiveness, it has been challenging to apply FEATURE to novel protein data due to limited customization support. To address this problem, we thoroughly analyze the internal modules of FEATURE and propose a methodology to customize FEATURE so that it can be used for new protein data for automatic functional annotations.

• Molecules and Cells
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• v.39 no.9
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• pp.687-691
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• 2016

Transcription activator-like effector nucleases (TALENs) are powerful tools for targeted genome editing in diverse cell types and organisms. However, the highly identical TALE repeat sequences make it challenging to assemble TALEs using conventional cloning approaches, and multiple repeats in one plasmid are easily catalyzed for homologous recombination in bacteria. Although the methods for TALE assembly are constantly improving, these methods are not convenient because of laborious assembly steps or large module libraries, limiting their broad utility. To overcome the barrier of multiple assembly steps, we report a one-step system for the convenient and flexible assembly of a 180 TALE module library. This study is the first demonstration to ligate 9 mono-/dimer modules and one circular TALEN backbone vector in a one step process, generating 9.5 to 18.5 repeat sequences with an overall assembly rate higher than 50%. This system makes TALEN assembly much simpler than the conventional cloning of two DNA fragments because this strategy combines digestion and ligation into one step using circular vectors and different modules to avoid gel extraction. Therefore, this system provides a convenient tool for the application of TALEN-mediated genome editing in scientific studies and clinical trials.

• Journal of The Korean Association For Science Education
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• v.24 no.2
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• pp.328-342
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• 2004

This study aims to develop STS modules which consider the local concerns of Korean society and their authentic evaluation instruments. Their titles are as follows: 'Health-Aiding Foods, are they necessary?', 'Competition between Alien and Native Species', 'Living Lesson of Lake Shihwa', and 'Problems of food wastes; Would you like to throw them away, if they are money?' All of them deal with issues unique to Korean local situations. Each module consisted of two versions; a student worksheet and a teachers' guide. Students' activities were categorized into six processes such as group activities, investigation, discussion and presentation, experiments, field trip, and multiple intelligence activities. Various assessment tools and abilities for the decision-making in their STS classes were also included. In order to validate these modules, 24 teachers who have been teaching science, biology and environmental science in the secondary schools reviewed these modules and provided feedbacks about their validity and usefulness. We expect that the various rubrics included in each module will provide teachers creative and flexible assessment methods for students' understandings and their decision-making abilities toward the issues.

• Journal of Microbiology and Biotechnology
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• v.32 no.3
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• pp.365-377
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• 2022

Mammalian target of rapamycin (mTOR) is a serine-threonine kinase member of the cellular phosphatidylinositol 3-kinase (PI3K) pathway, which is involved in multiple biological functions by transcriptional and translational control. mTOR is a downstream mediator in the PI3K/Akt signaling pathway and plays a critical role in cell survival. In cancer, this pathway can be activated by membrane receptors, including the HER (or ErbB) family of growth factor receptors, the insulin-like growth factor receptor, and the estrogen receptor. In the present work, we congregated an electronic network of mTORC1 built on an assembly of data using natural language processing, consisting of 470 edges (activations/interactions and/or inhibitions) and 206 nodes representing genes/proteins, using the Cytoscape 3.6.0 editor and its plugins for analysis. The experimental design included the extraction of gene expression data related to five distinct types of cancers, namely, pancreatic ductal adenocarcinoma, hepatic cirrhosis, cervical cancer, glioblastoma, and anaplastic thyroid cancer from Gene Expression Omnibus (NCBI GEO) followed by pre-processing and normalization of the data using R & Bioconductor. ExprEssence plugin was used for network condensation to identify differentially expressed genes across the gene expression samples. Gene Ontology (GO) analysis was performed to find out the over-represented GO terms in the network. In addition, pathway enrichment and functional module analysis of the protein-protein interaction (PPI) network were also conducted. Our results indicated NOTCH1, NOTCH3, FLCN, SOD1, SOD2, NF1, and TLR4 as upregulated proteins in different cancer types highlighting their role in cancer progression. The MCODE analysis identified gene clusters for each cancer type with MYC, PCNA, PARP1, IDH1, FGF10, PTEN, and CCND1 as hub genes with high connectivity. MYC for cervical cancer, IDH1 for hepatic cirrhosis, MGMT for glioblastoma and CCND1 for anaplastic thyroid cancer were identified as genes with prognostic importance using survival analysis.

• Molecules and Cells
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• v.45 no.10
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• pp.695-701
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• 2022

Homeostatic regulation of meristematic stem cells accomplished by maintaining a balance between stem cell self-renewal and differentiation is critical for proper plant growth and development. The quiescent center (QC) regulates root apical meristem homeostasis by maintaining stem cell fate during plant root development. Cell cycle checkpoints, such as anaphase promoting complex/cyclosome/cell cycle switch 52 A2 (APC/C^CCS52A2), strictly control the low proliferation rate of QC cells. Although APC/C^CCS52A2 plays a critical role in maintaining QC cell division, the molecular mechanism that regulates its activity remains largely unknown. Here, we identified SCF^FBS1, a ubiquitin E3 ligase, as a key regulator of QC cell division through the direct proteolysis of CCS52A2. FBS1 activity is positively associated with QC cell division and CCS52A2 proteolysis. FBS1 overexpression or ccs52a2-1 knockout consistently resulted in abnormal root development, characterized by root growth inhibition and low mitotic activity in the meristematic zone. Loss-of-function mutation of FBS1, on the other hand, resulted in low QC cell division, extremely low WOX5 expression, and rapid root growth. The 26S proteasome-mediated degradation of CCS52A2 was facilitated by its direct interaction with FBS1. The FBS1 genetically interacted with APC/C^CCS52A2-ERF115-PSKR1 signaling module for QC division. Thus, our findings establish SCF^FBS1-mediated CCS52A2 proteolysis as the molecular mechanism for controlling QC cell division in plants.

• Journal of The Korean Association For Science Education
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• v.24 no.3
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• pp.556-564
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• 2004

Two biology modules were developed previously for the purpose of improving creativity and scientific thinking of secondary school students. A hypothetical-deductive experimental procedure was reflected in the module when students themselves can perform a series of activities of making hypothesis and designing an experiment to solve the questions. They followed a series of scientific processes to determine some characteristics regarding plant pigments and the transport process of materials in living organisms. Four classes of 9th graders in'S' Science High School were divided into the experimental and the control group. The same contents of the modules were taught to the control group by the traditional experimental way. The students' creativity, scientific thinking, scientific inquiry skill and knowledge achievement were examined before and after the interventions. As results, the experimental groups showed more significant improvement on the areas of the students' creativity, scientific thinking, scientific inquiry skill and achievement than the control groups. Results indicated that the specially designed modules in terms of hypothetical-deductive experimental procedure were effective to improve science high school students' creativity and scientific thinking abilities.

• Journal of Life Science
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• v.19 no.6
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• pp.809-817
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• 2009

The phenotypes associated with a gene function are often the best clue to its role in the plant. Transgenic plants ectopically expressing or suppressing a gene can provide useful information related to the gene function. In this study, we constructed three vectors - pFGL571, pFGL846 and pFGL847 - for the Agrobacterium-mediated ectopic expression of plant genes using pPZP211 and modified CaMV 35S, UBQ3 or UBQ10 promoters. The three vectors have several merits such as small size, high copy in bacteria, enough restriction enzyme sites in multi cloning sites and nucleotide sequence information. Analysis of transgenic plants containing GUS or sGFP reporter genes under the control of modified CaMV 35S, UBQ3 or UBQI0 promoter revealed that all of the three promoters showed high activities during most developmental stages after germination and in floral organs. Furthermore, we generated a RNAi module vector, pFGL727, to suppress plant gene expressions and confirmed that pFGL727 is useful for the suppression of a gene expression using rice transgenic plants. Taken together, our new vectors would be very useful for the ectopic expression or the suppression of plant genes.

• Bulletin of the Korean Chemical Society
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• v.31 no.1
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• pp.52-58
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• 2010

Human histamine H1 receptor (HHR1) is a G protein-coupled receptor and a primary target for antiallergic therapy. Here, the ligand-based three-dimensional pharmacophore models were built from a set of known HHR1 inverse agonists using HypoGen module of CATALYST software. All ten generated pharmacophore models consist of five essential features: hydrogen bond acceptor, ring aromatic, positive ionizable and two hydrophobic functions. Best model had a correlation coefficient of 0.854 for training set compounds and it was validated with an external test set with a high correlation value of 0.925. Using this model Maybridge database containing 60,000 compounds was screened for potential leads. A rigorous screening for drug-like compounds unveiled RH01692 and SPB00834, two novel molecules for HHR1 with good CATALYST fit and estimated activity values. The new lead molecules were docked into the active site of constructed HHR1 homology model based on recently crystallized squid rhodopsin as template. Both the hit compounds were found to have critical interactions with Glu177, Phe432 and other important amino acids. The interpretations of this study may effectively be deployed in designing of novel HHR1 inverse agonists.