A protein domain interaction interface database: InterPare.

BACKGROUND: Most proteins function by interacting with other molecules. Their interaction interfaces are highly conserved throughout evolution to avoid undesirable interactions that lead to fatal disorders in cells. Rational drug discovery includes computational methods to identify the interaction sites of lead compounds to the target molecules. Identifying and classifying protein interaction interfaces on a large scale can help researchers discover drug targets more efficiently. DESCRIPTION: We introduce a large-scale protein domain interaction interface database called InterPare http://interpare.net. It contains both inter-chain (between chains) interfaces and intra-chain (within chain) interfaces. InterPare uses three methods to detect interfaces: 1) the geometric distance method for checking the distance between atoms that belong to different domains, 2) Accessible Surface Area (ASA), a method for detecting the buried region of a protein that is detached from a solvent when forming multimers or complexes, and 3) the Voronoi diagram, a computational geometry method that uses a mathematical definition of interface regions. InterPare includes visualization tools to display protein interior, surface, and interaction interfaces. It also provides statistics such as the amino acid propensities of queried protein according to its interior, surface, and interface region. The atom coordinates that belong to interface, surface, and interior regions can be downloaded from the website. CONCLUSION: InterPare is an open and public database server for protein interaction interface information. It contains the large-scale interface data for proteins whose 3D-structures are known. As of November 2004, there were 10,583 (Geometric distance), 10,431 (ASA), and 11,010 (Voronoi diagram) entries in the Protein Data Bank (PDB) containing interfaces, according to the above three methods. In the case of the geometric distance method, there are 31,620 inter-chain domain-domain interaction interfaces and 12,758 intra-chain domain-domain interfaces

Geographic Distribution of Urologists in Korea, 2007 to 2012

The adequacy of the urologist work force in Korea has never been investigated. This study investigated the geographic distribution of urologists in Korea. County level data from the National Health Insurance Service and National Statistical Office was analyzed in this ecological study. Urologist density was defined by the number of urologists per 100,000 individuals. National patterns of urologist density were mapped graphically at the county level using GIS software. To control the time sequence, regression analysis with fitted line plot was conducted. The difference of distribution of urologist density was analyzed by ANCOVA. Urologists density showed an uneven distribution according to county characteristics (metropolitan cities vs. nonmetropolitan cities vs. rural areas; mean square = 102.329, P < 0.001) and also according to year (mean square = 9.747, P = 0.048). Regression analysis between metropolitan and non-metropolitan cities showed significant difference in the change of urologists per year (P = 0.019). Metropolitan cities vs. rural areas and non-metropolitan cities vs. rural areas showed no differences. Among the factors, the presence of training hospitals was the affecting factor for the uneven distribution of urologist density (P < 0.001). Uneven distribution of urologists in Korea likely originated from the relatively low urologist density in rural areas. However, considering the time sequencing data from 2007 to 2012, there was a difference between the increase of urologist density in metropolitan and non-metropolitan cities.open1122sciescopuskc

ICT R&D system and policy

노트 : Government Publications Registration Number 11-1051000-000449-0

2013 경제발전경험모듈화사업 : ICT 연구개발체계 수립

Acronyms and Glossary Summary Chapter 1 Objectives and Achievements 1. The Evolution and Achievement of Government ICT R&D in Korea 2. Input and Output of ICT R&D Chapter 2 Backgrounds and Needs Chapter 3 Strategy and System 1. Strategy for Policy Making and Implementation 2. Funding for Public ICT R&D Chapter 4 Specifics of Policies 1. ICT R&D Policy during the Basic Competence Reinforcement Period (1960~1986) 2. ICT R&D Policy during the Infrastructure Construction Period (1987~2003)· 3. ICT R&D Policy during the Demand and Supply Mutual Growth Period (2004~2007) 4. ICT R&D Policy for ICT Convergence Period (2008~2010) Chapter 5 Evaluation 1. TDX (Time Division Exchangers) 2. CDMA (Code Division Multiple Access) Technology Development 3. Case of WiBro Technology Development Chapter 6 Implications for Developing Countries 1. Preparing the Ground 2. Nuturing the Soil 3. Removing the Weeds 4. Watering Innovation 5. The Role of Government in ICT R&D Reference

A Case of Pylephlebitis with Pseudomonas aeruginosa Sepsis and Liver Abscess Secondary to Diverticulitis

Pylephlebitis, or suppurative thrombophlebitis of the portal venous system, is a rare condition occurring secondary to abdominal infections such as diverticulitis. Pylephlebitis can be diagnosed via ultrasonography or CT scan, and is characterized by the presence of a thrombus in the portal vein and bacteremia. However, the diagnosis may be delayed due to the vague nature of the clinical symptoms, causing morbidity and mortality due to pylephlebitis to remain high. Early diagnosis and immediate antibiotic therapy are important for favorable prognosis. Therefore, pylephlebitis should be considered in the differential diagnosis for cases of nonspecific abdominal pain and fever. We report a case of pylephlebitis secondary to diverticulitis, associated with Pseudomonas aeruginosa sepsis. Such cases have not been widely reported. (Korean J Gastroenterol 2016;67:327-331