• Proceedings of the Korean Society for Bioinformatics Conference
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• 2002.06a
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• pp.5-23
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• 2002

Motivation: Protein-protein interaction plays a critical role in the biological processes. The identification of interacting proteins by bioinformatical methods can provide new lead In the functional studies of uncharacterized proteins without performing extensive experiments. Results: Protein-protein interactions are predicted by a computational algorithm based on the weighted scoring system for domain interactions between interacting protein pairs. Here we propose potential interaction domain (PID) pairs can be extracted from a data set of experimentally identified interacting protein pairs. where one protein contains a domain and its interacting protein contains the other. Every combinations of PID are summarized in a matrix table termed the PID matrix, and this matrix has proposed to be used for prediction of interactions. The database of interacting proteins (DIP) has used as a source of interacting protein pairs and InterPro, an integrated database of protein families, domains and functional sites, has used for defining domains in interacting pairs. A statistical scoring system. named "PID matrix score" has designed and applied as a measure of interaction probability between domains. Cross-validation has been performed with subsets of DIP data to evaluate the prediction accuracy of PID matrix. The prediction system gives about 50% of sensitivity and 98% of specificity, Based on the PID matrix, we develop a system providing several interaction information-finding services in the Internet. The system, named PreDIN (Prediction-oriented Database of Interaction Network) provides interacting domain finding services and interacting protein finding services. It is demonstrated that mapping of the genome-wide interaction network can be achieved by using the PreDIN system. This system can be also used as a new tool for functional prediction of unknown proteins.

• Proceedings of the Korean Society for Bioinformatics Conference
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• 2003.10a
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• pp.7-16
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• 2003

In this paper, we propose a probabilistic framework to predict the interaction probability of proteins. The notion of domain combination and domain combination pair is newly introduced and the prediction model in the framework takes domain combination pair as a basic unit of protein interactions to overcome the limitations of the conventional domain pair based prediction systems. The framework largely consists of prediction preparation and service stages. In the prediction preparation stage, two appearance pro-bability matrices, which hold information on appearance frequencies of domain combination pairs in the interacting and non-interacting sets of protein pairs, are constructed. Based on the appearance probability matrix, a probability equation is devised. The equation maps a protein pair to a real number in the range of 0 to 1. Two distributions of interacting and non-interacting set of protein pairs are obtained using the equation. In the prediction service stage, the interaction probability of a protein pair is predicted using the distributions and the equation. The validity of the prediction model is evaluated fur the interacting set of protein pairs in Yeast organism and artificially generated non-interacting set of protein pairs. When 80% of the set of interacting protein pairs in DIP database are used as foaming set of interacting protein pairs, very high sensitivity(86%) and specificity(56%) are achieved within our framework.

• Journal of Applied Biological Chemistry
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• v.50 no.2
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• pp.58-62
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• 2007

Identification of Dual-specificity protein phosphatase (DSP) substrates is essential in revealing physiological roles of DSPs. We isolated VHZ-interacting proteins from extracts of 293T cells overexpressing a VHZ (C95S, D65A) mutant known to be substrate- trapping mutant. Analysis of specific proteins bound to VHZ by 2D gel electrophoresis and mass spectroscopy revealed that these proteins contained Chaperonin containing TCP1, Type II phosphatidylinositol phosphate kinase ${\gamma}$, Intraflagellar transport 80 homolog, and Kinesin superfamily protein 1B. VHZ-interacting proteins showed that VHZ is involved in many important cellular signal pathways such as protein folding, molecular transportation, and tumor suppression.

• Journal of KIISE:Computing Practices and Letters
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• v.10 no.4
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• pp.299-308
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• 2004

In this paper, we propose a probabilistic framework to predict the interaction probability of proteins. The notion of domain combination and domain combination pair is newly introduced and the prediction model in the framework takes domain combination pair as a basic unit of protein interactions to overcome the limitations of the conventional domain pair based prediction systems. The framework largely consists of prediction preparation and service stages. In the prediction preparation stage, two appearance probability matrices, which hold information on appearance frequencies of domain combination pairs in the interacting and non-interacting sets of protein pairs, are constructed. Based on the appearance probability matrix, a probability equation is devised. The equation maps a protein pair to a real number in the range of 0 to 1. Two distributions of interacting and non-interacting set of protein pairs are obtained using the equation. In the prediction service stage, the interaction probability of a Protein pair is predicted using the distributions and the equation. The validity of the prediction model is evaluated for the interacting set of protein pairs in Yeast organism and artificially generated non-interacting set of protein pairs. When 80% of the set of interacting protein pairs in DIP database are used as teaming set of interacting protein pairs, very high sensitivity(86%) and specificity(56%) are achieved within our framework.

• The Journal of Natural Sciences
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• v.10 no.1
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• pp.27-32
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• 1998

To find the interacting protein with the cytoplasmic domain of HIV-1 gp41, the yeast two hybrid system was used for the expression cloning. Among the $1.4 \times 10^6 colonies, 20 colonies were selected as the final candidate for the interacting protein gene. The nucleotide sequencing revealed three kinds of protein, acidic ribosomal protein P0, beta tubulin, alpha catenin. These proteins interacted with the gp41 specifically in yeast system.

• The Journal of Korean Society of Virology
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• v.30 no.3
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• pp.211-217
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• 2000

Nef is a lentiviral protein involved in pathogenesis of AIDS, but its molecular mechanism of action remains incompletely understood. Here we report the isolation of the interacting protein with the HIV-1 Nef, using the yeast two hybrid system for expression cloning. One of the positive colonies was selected as the final candidate for the interacting protein gene. The nucleotide sequencing revealed that this interacting protein is Human Ikaros/LyF-1. This protein interacted with the C-terminal region of Nef specifically in yeast system, not with the N-terminal region. This interaction was also confirmed by in vitro binding assay.

• BMB Reports
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• v.43 no.12
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• pp.795-800
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• 2010

Huntingtin-interacting protein 1-related (HIP1r) is known to function in clathrin-mediated endocytosis and regulation of the actin cytoskeleton, which occurs continuously in non-dividing cells. This study reports a new function for HIP1r in mitosis. Green fluorescent protein-fused HIP1r localizes to the mitotic spindles. Depletion of HIP1r by RNA interference induces misalignment of chromosomes and prolonged mitosis, which is associated with decreased proliferation of HIP1r-deficeint cells. Chromosome misalignment leads to missegregation and ultimately production of multinucleated cells. Depletion of HIP1r causes persistent activation of the spindle checkpoint in misaligned chromosomes. These findings suggest that HIP1r plays an important role in regulating the attachment of spindle microtubules to chromosomes during mitosis, an event that is required for accurate congression and segregation of chromosomes. This finding may provide new insights that improve the understanding of various human diseases involving HIP1r as well as its fusion genes.

• Parasites, Hosts and Diseases
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• v.45 no.3
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• pp.229-232
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• 2007

The WD40-repeat proteins serve as a platform coordinating partner proteins and are involved in a range of regulatory cellular functions. A WD40-repeat protein (CsWD1) of Clonorchis sinensis previously cloned is expressed stage-specifically in the tegumental syncytium of C. sinensis metacercariae. In the present study, interact-ing proteins with the CsWD1 protein was purified by immunoprecipitation and 2 dimension gel electrophoresis from the C. sinensis metacercaria soluble extract, and tryptic peptides were analyzed by LC/ESI-MS. Putative partner proteins were annotated to be actin-2, glyceraldehyde-3-phosphate dehydrogenase, and hypothetical and unmanned proteins. The CsWD1 protein was predicted to contain 3 conserved actin-interacting residues on its functional surface. With these results, the CsWD1 protein is suggested to be an actin-interacting protein of C. sinensis.

• Journal of Life Science
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• v.19 no.8
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• pp.1055-1061
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• 2009

${\alpha}$-amino-3-hydroxy-5-methyl-4-isoxazole propionate (AMPA) receptors are widespread throughout the central nervous system and appear to serve as synaptic receptors for fast excitatory synaptic transmission mediated by glutamate. Their modulation is believed to affect learning and memory. To identify the interaction proteins for the AMPA receptor subunit glutamate receptor-interacting protein 1 (GRIPl), GRIP1 interactions with armadillo family protein p0071/plakophilin-4 were investigated. GRIP1 protein bound to the tail region of p0071/plakophilin-4 but not to other armadillo family protein members in a yeast two-hybrid assay. The "S-X-V" motif at the carboxyl (C)-terminal end of p0071/plakophilin-4 is essential for interaction with GRIP1. p0071/plakophilin-4 interacted with the Postsynaptic density-95/Discs large/Zona occludens-1 (PDZ) domains of GRIPI in the yeast two-hybrid assay, as is indicated also by Glutathione S-transferase (GST) pull-down, and co-immunoprecipitated with GRIP1 antibody in brain fraction. The findings of this study provide evidence that p0071/plakophilin-4 is an interactor of GRIP1.

• Journal of Life Science
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• v.18 no.3
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• pp.318-322
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• 2008

This paper deals with an efficient management and automatic update sub-system for WASPIFA (Web-based Assistant System for Protein-protein Interaction and Function Analysis) system that had been developed in the past and now provides the comprehensive information on protein-protein interaction and protein function. Protein interacting data has increased exponentially, so that it costs enormous time and effort. In other words, it is actually impossible to manually update and manage an analysis system based on protein interacting data. Even though there exists a good analysis system, it could be useless if it was able to be updated timely and managed properly. Unfortunately, in most cases, biologists without professional knowledge on their analysis systems have to cope with a great difficulty in running them. In this respect, the efficient management and automatic update subsystem of protein interacting and its related data has been developed to facilitate experimental biologists as well as bioinformaticians to update and manage the WASPIFA system.