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Paper Accepted: PIE the search: searching PubMed literature for protein interaction information

posted Dec 1, 2011, 8:50 PM by Dongseop Kwon

Paper Accepted:  Sun Kim, Dongseop Kwon, Soo-Yong Shin, W. John Wilbur, "PIE the search: searching PubMed literature for protein interaction information," Accepted for publication in BIOINFORMATICS (SCI)

Paper Accepted: A comprehensive manually curated protein–protein interaction database for the Death Domain superfamily

posted Dec 1, 2011, 8:49 PM by Dongseop Kwon

Dongseop Kwon, Jong Hwan Yoon, Soo-Yong Shin, Tae-Ho Jang, Hong-Gee Kim, Insuk So, Ju-Hong Jeon, Hyun Ho Park, "A comprehensive manually curated protein–protein interaction database for the Death Domain superfamily," Accepted for publication in Nucleic Acids Res. Database Issue, 2012

연구 과제 선정

posted Dec 1, 2011, 8:48 PM by Dongseop Kwon

아래 과제가 "한국연구재단 일반연구자지원사업 하반기 기본과제(모험)"에 신규 선정되었습니다.

명지대학교(용인) 권동섭
"네트워크 생물학을 기반으로 TRP 칼슘 찿널의 병태생리학적 기능 연구"
2011.9~2014.8

New research paper published in NAR 2011 (SCI, IF:7.4)

posted Apr 9, 2011, 11:08 AM by Dongseop Kwon   [ updated Apr 9, 2011, 11:17 AM ]

Young-Cheul Shin, Soo-Yong Shin, Insuk So, Dongseop Kwon, and Ju-Hong Jeon, "TRIP Database: a manually curated database of protein-protein interactions for mammalian TRP channels," Nucleic Acids Res. Volume 39 suppl 1 January 2011 (SCI)  [pubmed id: 20851834]

TRIP Database: a manually curated database of protein-protein interactions for mammalian TRP channels.

Abstract:
Transient receptor potential (TRP) channels are a superfamily of Ca(2+)-permeable cation channels that translate cellular stimuli into electrochemical signals. Aberrant activity of TRP channels has been implicated in a variety of human diseases, such as neurological disorders, cardiovascular disease and cancer. To facilitate the understanding of the molecular network by which TRP channels are associated with biological and disease processes, we have developed the TRIP (TRansient receptor potential channel-Interacting Protein) Database (http://www.trpchannel.org), a manually curated database that aims to offer comprehensive information on protein-protein interactions (PPIs) of mammalian TRP channels. The TRIP Database was created by systematically curating 277 peer-reviewed literature; the current version documents 490 PPI pairs, 28 TRP channels and 297 cellular proteins. The TRIP Database provides a detailed summary of PPI data that fit into four categories: screening, validation, characterization and functional consequence. Users can find in-depth information specified in the literature on relevant analytical methods and experimental resources, such as gene constructs and cell/tissue types. The TRIP Database has user-friendly web interfaces with helpful features, including a search engine, an interaction map and a function for cross-referencing useful external databases. Our TRIP Database will provide a valuable tool to assist in understanding the molecular regulatory network of TRP channels.

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