• Genomics & Informatics
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• v.11 no.3
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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.

• Proceedings of the Korean Biophysical Society Conference
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• 1998.06a
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• pp.10-10
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• 1998

IMPs are important to cells in functions such as transport, energy transduction and signalling. Three dimensional molecular structures of such proteins at atomic level are needed to understand such processes. Prediction of such structures (and functions) is necessary especially because there are only a small number of membrane protein structures determined in atomic resolution.(omitted)

• Bulletin of the Korean Chemical Society
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• v.34 no.10
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• pp.2909-2914
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• 2013

p-Hydroxyphenylpyruvate dioxygenase (HPPD) is a potent herbicide target that is in current use. In this study, we developed a predictive pharmacophore model that uses known HPPD inhibitors based on a theoretically constructed HPPD homology model. The pharmacophore model derived from the three-dimensional (3D) structure of a target protein provides helpful information for analyzing protein-ligand interactions, leading to further improvement of the ligand binding affinity.

• Journal of Integrative Natural Science
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• v.10 no.1
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• pp.7-13
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• 2017

Neuromedin U receptor 1 is a GPCR protein which binds with the neuropeptide, neuromedin. It is involved in the regulation of feeding and energy homeostasis and related with immune mediated inflammatory diseases like asthma. It plays an important role in maintaining the biological clock and in the regulation of smooth muscle contraction in the gastrointestinal and genitourinary tract. Analysing the structural features of the receptor is crucial in studying the pathophysiology of the diseases related to the receptor important. As the three dimensional structure of the protein is not available, in this study, we have performed the homology modelling of the receptor using 5 different templates. The models were subjected to model validation and two models were selected as optimal. These models could be helpful in analysing the structural features of neuromedin U receptor 1 and their role in disorders related to them.

• Proceedings of the Korean Biophysical Society Conference
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• 1996.07a
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• pp.11-11
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• 1996

The three-dimensional structure of the carboxyl-terminal domain of the E.coli RNA polymerase $\alpha$ subunit, which is regarded as the contact site for transcription activator proteins and the promoter UP element, was determined by NMR spectroscopy. Its compact structure of four helices and two long arms enclosing its hydrophobic core shows a folding topology distinct from those of other DNA-binding proteins. (omitted)

• Journal of Integrative Natural Science
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• v.9 no.1
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• pp.35-40
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• 2016

Protein phosphatase manganese dependent 1D (PPM1D) is one of the Ser/Thr protein phosphatases belongs to the PP2C family. They play an important role in cancer tumorigenesis of various tumors including neuroblastoma, pancreatic adenocarcinoma, medulloblastoma, breast cancer, prostate cancer and ovarian cancer. Even though PPM1D is involved in the pathophysiology of various tumors, the three dimensional protein structure is still unknown. Hence in the present study, homology modelling of PPM1D was performed. 20 different models were modelled using single- and multiple-template based homology modelling and validated using different techniques. Best models were selected based on the validation. Three models were selected and found to have similar structures. The predicted models may be useful as a tool in studying the pathophysiological role of PPM1D.

• Applied Microscopy
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• v.47 no.3
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• pp.160-164
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• 2017

Electron crystallography has been used as the one of powerful tool for studying the structure of biological macromolecules at high resolution which is sufficient to provide details of intramolecular and intermolecular interactions at near-atomic level. Previously it commonly uses two-dimensional crystals that are periodic arrangement of biological molecules, however recent studies reported a novel technical approach to electron crystallography of three-dimensional crystals, called micro electron-diffraction (MicroED) which involves placing the irregular and small sized protein crystals in a transmission electron microscope to determine the atomic structure. In here, we review the advances in electron crystallography techniques with several recent studies. Furthermore, we discuss the future direction of this structural approach.

• KIPS Transactions on Software and Data Engineering
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• v.3 no.4
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• pp.163-168
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• 2014

In a protein molecule, ${\alpha}$-helices are important for protein structure, function, and binding to other proteins, so the analysis on the structure of helices has been researched. Since an interaction between two helices is evaluated based on their axes, massive errors in protein structure analysis would be caused if a curved or kinked long ${\alpha}$-helix is considered as a linear one. In this paper, we present an algorithm to reconstruct ${\alpha}$-helices in a protein molecule as a sequence of straight helices under given threshold.

• Bulletin of the Korean Chemical Society
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• v.32 no.12
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• pp.4352-4360
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• 2011

A four dimensional quantitative structure activity relationship analysis was applied to a series of 50 flavonoid inhibitors of $p56^{lck}$ protein tyrosine kinase by the molecular comparative electron topological method. It was found that the -log (IC50) values of the compounds were highly dependent on the topology, size and electrostatic character of the substituents at seven positions of the flavonoid scaffold in this study. Depending on the negative or positive charge of the groups correctly embedded in these substituents, three-dimensional bio-structure to increase or decrease -log (IC50) values in the training set of 39 compounds was predicted. The test set of 11 compounds was used to evaluate the predictivity of the model. To generate 4D-QSAR model, the defined function groups and pharmacophore used as topological descriptors in the calculation of activity were of sufficient statistical quality ($R^2$ = 0.72 and $Q^2$ = 0.69). Ligand docking approach by using Dock 6.0. These compounds include many flavonoid analogs, They were docked onto human families of p56lck PTKs retrieved from the Protein Data Bank, 1lkl.pdb.

• Journal of applied mathematics & informatics
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• v.12 no.1_2
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• pp.155-164
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• 2003

A method is proposed to predict the distances between given residue pairs (between C$\sub$${\alpha}$/ atoms) of a protein using a sequence to structure mapping by indefinite quadratic approximation. The prediction technique requires a data fitting in three dimensional space with coordinates of the residues of known structured proteins and leads to a numerical ref resentation of 20 amino acids by minimizing a large least norm iteratively. These approximations are used in distance prediction for given residue pairs. Some computational experience on a test set of small proteins from Brookhaven Protein Data Bank are given.