Showing papers by "Dongsoo Han published in 2009"

Method and system providing healthcare program service based on bio-signals and symptoms information

Abstract: A health management program service providing system and a method thereof based on symptom information and health signal through database storing a healthcare program are provided to offer a recommendation list of the healthcare management program according to a priority by using healthcare signal by each symptom. An input unit(410) inputs health signal through wireless communication. A classifying unit(412) classifies each symptom bio-signal of the inputted multi-user. A monitoring unit(414) collects the use health care program satisfaction degree of the specific symptom bio-signal group. The health management according to counted number of usages is counted. The availability of the health care program is collected. A database(416) manages and stores satisfaction information and health management.

A Protein-Protein Interaction Prediction Method Embracing Intra-protein Domain Cohesion Information

Abstract: Recently, many computational methods for predict-ing protein-protein interaction (PPI) have been devel-oped by utilizing domain-domain interaction or asso-ciated information. However, most of the methods lack of reflecting the collaboration effect of multiple do-mains to the prediction of PPI. In this paper, we devel-op a computational model that considers not only inter relationship between protein pair but also the intra-domain functional cohesion effect in PPI. In the computational model, a value assigning method to reflect the intra and inter collaboration devised and the computed values are stored in Interaction Significance (IS) matrix. Then an equation for PPI prediction is devised on IS matrix. For S. cerevisiae PPI data from DIP, MINT and IntAct, domain data from Pfam-A, the prediction method achieved 73.91% and 92.02% sensitivity and specificity respectively.

A Method for Protein Functional Flow Configuration and Validation

Abstract: With explosively growing PPI databases, the computational approach for a prediction and configuration of PPI network has been a big stream in the bioinformatics area. Recent researches gradually consider physicochemical properties of proteins and support high resolution results with integration of experimental results. With regard to current research trend, it is very close future to complete a PPI network configuration of each organism. However, direct applying the PPI network to real field is complicated problem because PPI network is only a set of co-expressive proteins or gene products, and its network link means simple physical binding rather than in-depth knowledge of biological process. In this paper, we suggest a protein functional flow model which is a directed network based on a protein functions' relation of signaling transduction pathway. The vertex of the suggested model is a molecular function annotated by gene ontology, and the relations among the vertex are considered as edges. Thus, it is easy to trace a specific function's transition, and it can be a constraint to extract a meaningful sub-path from whole PPI network. To evaluate the model, 11 functional flow models of Homo sapiens were built from KEGG, and Cronbach's alpha values were measured (alpha=0.67). Among 1023 functional flows, 765 functional flows showed 0.6 or higher alpha values.