• Proceedings of the Korean Society for Bioinformatics Conference
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• 2003.10a
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• pp.268-274
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• 2003

Most currently known molecular structures were determined by X-ray crystallography or Nuclear Magnetic Resonance (NMR). These methods generate a large amount of structure data, even far small molecules, and consist mainly of three-dimensional atomic coordinates. These are useful for analyzing molecular structure, but structure elements at higher level are also needed for a complete understanding of structure, and especially for structure prediction. Computational approaches exist for identifying secondary structural elements in proteins from atomic coordinates. However, similar methods have not been developed for RNA due in part to the very small amount of structure data so far available, and extracting the structural elements of RNA requires substantial manual work. Since the number of three-dimensional RNA structures is increasing, a more systematic and automated method is needed. We have developed a set of algorithms for recognizing secondary and tertiary structural elements in RNA molecules and in the protein-RNA structures in protein data banks (PDB). The present work represents the first attempt at extracting RNA structure elements from atomic coordinates in structure databases. The regularities in the structure elements revealed by the algorithms should provide useful information for predicting the structure of RNA molecules bound to proteins.

• Journal of Microbiology
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• v.41 no.3
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• pp.239-247
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• 2003

The LRV1-4 capsid protein possesses an endoribonuclease activity that is responsible for the single site-specific cleavage in the 5' untranslated region (UTR) of its own viral RNA genome and the formation of a conserved stem-loop structure (stem-loop IV) in the UTR is essential for the accurate RNA cleavage by the capsid protein. To delineate the nucleotide sequences, which are essential for the correct formation of the stem-loop structure for the accurate RNA cleavage by the viral capsid protein, a wildtype minimal RNA transcript (RNA 5' 249-342) and several synthetic RNA transcripts encoding point-mutations in the stem-loop region were generated in an in vitro transcription system, and used as substrates for the RNA cleavage assay and RNase mapping studies. When the RNA 5' 249-342 transcript was subjected to RNase T1 and A mapping studies, the results showed that the predicted RNA secondary structure in the stem-loop region using FOLD analysis only existed in the presence of Mg$\^$2＋/ ions, suggesting that the metal ion stabilizes the stem-loop structure of the substrate RNA in solution. When point-mutated RNA substrates were used in the RNA cleavage assay and RNase T1 mapping study, the specific nucleotide sequences in the stem-loop region were not required for the accurate RNA cleavage by the viral capsid protein, but the formation of a stem-loop like structure in a region (nucleotides from 267 to 287) stabilized by Mg$\^$2＋/ ions was critical for the accurate RNA cleavage. The RNase T1 mapping and EMSA studies revealed that the Ca$\^$2＋/ and Mn$\^$2＋/ ions, among the reagents tested, could change the mobility of the substrate RNA 5' 249-342 on a gel similarly to that of Mg$\^$2＋/ ions, but only Ca$\^$2＋/ ions identically showed the stabilizing effect of Mg$\^$2＋/ ions on the stem-loop structure, suggesting that binding of the metal ions (Mg$\^$2＋/ or Ca$\^$2＋/) onto the RNA substrate in solution causes change and stabilization of the RNA stem-loop structure, and only the substrate RNA with a rigid stem-loop structure in the essential region can be accurately cleaved by the LRV1-4 viral capsid protein.

• Proceedings of the KSRS Conference
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• 2005.10a
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• pp.280-282
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• 2005

A ribonucleic acid (RNA) is one of the two types of nucleic acids found in living organisms. An RNA molecule represents a long chain of monomers called nucleotides. The sequence of nucleotides of an RNA molecule constitutes its primary structure, and the pattern of pairing between nucleotides determines the secondary structure of an RNA. Non-coding RNA genes produce transcripts that exert their function without ever producing proteins. Predicting the secondary structure of non-coding RNAs is very important for understanding their functions. We focus on Nussinov's algorithm as useful techniques for predicting RNA secondary structures. We introduce a new traceback matrix and scoring table to improve above algorithm. And the improved algorithm provides better levels of performance than the originals.

• Proceedings of the Korea Information Processing Society Conference
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• 2005.11a
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• pp.15-18
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• 2005

A ribonucleic acid (RNA) is one of the two types of nucleic acids found in living organisms. An RNA molecule represents a long chain of monomers called nucleotides. The sequence of nucleotides of an RNA molecule constitutes its primary structure, and the pattern of pairing between nucleotides determines the secondary structure of an RNA. Non-coding RNA genes produce transcripts that exert their function without ever producing proteins. Predicting the secondary structure of non-coding RNAs is very important for understanding their functions. We focus on Nussinov's algorithm as useful techniques for predicting RNA secondary structures. We introduce a new traceback matrix and scoring table to improve above algorithm. And the improved prediction algorithm provides better levels of performance than the originals.

• Journal of the Korean Magnetic Resonance Society
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• v.19 no.3
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• pp.143-148
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• 2015

In some pathogenic bacteria, there are RNA thermometers, which regulate the production of virulence associated factors or heat shock proteins depending on temperature changes. Like a riboswitches, RNA thermometers are located in the 5'-untranslated region and involved translational gene regulatory mechanism. RNA thermometers block the ribosome-binding site and start codon area under the $37^{\circ}C$ within their secondary structure. After bacterial infection, increased the temperature in the host causes conformations changes of RNA, and the ribosome-binding site is exposed for translational initiation. Because structural differences between open and closed forms of RNA thermometers are mainly mediated by base pairing changes, NMR spectroscopy is a very useful method to study these thermodynamically changing RNA structure. In this review, we briefly provide a fundamental function of RNA thermometers, and also suggest a proper NMR experiments for studying RNA thermometers.

• Journal of the Korean Chemical Society
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• v.65 no.2
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• pp.121-124
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• 2021

RNA molecules which bind to the G-rich sequence in the 5'-UTR RNA which plays an important role in expression of N-ras, were selected. The secondary structures of five selected RNA aptamers including primer sequence were found by the CLC RNA workbench ver. 4.2 program (www.clcbio.com) and investigated with RNA structural probes such as RNase T1 which has specificity for a G in single-stranded region, RNase V1 specific for double strand and nuclease S1 specific for single strand. The generalized secondary structure model was proposed and characterized. It was composed of a central long double strand region flanked by single strand region at both end sides. The double strand region had an internal single-strand region and bulges. The single strand loop in the right side was composed of four or five nucleotides.

• Journal of Microbiology
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• v.45 no.1
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• pp.79-82
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• 2007

The 58 rRNA gene from Sphingobium chungbukense DJ77 was identified. The secondary structure of the 199-base-long RNA was proposed. The two-base-long D loop was the shortest among all of the known 5S rRNAs. The U19-U64 non-canonical pair in the helix II region was uniquely found in strain DJ77 among all of the sphingomonads.

• Journal of the Korean Chemical Society
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• v.42 no.2
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• pp.209-213
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• 1998

The higher order structure of Pseudomonas alcaligenes 5S rRNA has been investigated by using ($\eta^{6}$-mesitylene) manganese (Ⅰ) tricarbonyl hexafluorophosphate[MTH-Mn (Ⅰ)], dimethylpyrocarbonate, potassium permanganate as chemical probes. The sequences cleaved strongly by MTH-Mn (Ⅰ) on the tertiary structure of the 5S rRNA are $G_{12}AUGG_{16}$ of loop a, $G_{51}AAGUGAAGC_{60}$ of the region b-C, $U_{65}-AGCG_{69}$. of the region B-a, and $G_{72}AUGG_{76}$ of loop d. Based on such cleavage patterns of 5S rRNA by MTH-Mn(Ⅰ) and other chemical probes, we presume that the sequences strongly cleaved form pocket-like structure as in the the corner of L structure of $tRNA^{Phe}$. We also presume that the region b-C and loop d together play a role of hinge in forming the pocket-like structure in the 5S rRNA.

• Journal of the Korean Magnetic Resonance Society
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• v.20 no.2
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• pp.46-49
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• 2016

MiRNA-155, upregulated in various cancers, is one of the miRNAs that suppress apoptosis of human cancer. Thus, inhibition of the maturation of miRNA-155 could be an effective way to induce apoptotic cancer cell death. The apical stem-loop of the pre-miRNA-155 has been known as a Dicer biding site for RNA cleavage. Here, to understand the molecular basis of the tertiary interaction between pre-miRNA-155 with Dicer, we characterize the structure of the apical stem-loop of pre-miRNA-155 using NMR spectroscopy. The RNA has a stem-bulge-stem-loop-stem structure, which is consist of G-C Watson-Crick and G-U Wobble base pairs. The assignments of imino- protons were further confirmed by 2D $^{15}N-^1H$ HSQC NMR spectrum. The NMR parameters obtained in this study can be further used to investigate the tertiary interaction between pre-miRNA-155 and other biomolecules such as protein, nucleic acids, or small chemicals which might be used to control the apoptosis of cancer.

• Proceedings of the Korean Biophysical Society Conference
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• 1996.07a
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• pp.31-31
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• 1996

The double-stranded panhandle structure of the influenza virus RNA is important for the replication, transcription and packaging into the virion of the vRNA. The solution structure of a 34-nucleotide-long RNA which contains the conserved panhandle sequences has been investigated by one- and two-dimensional NMR spectroscopies. (omitted)