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

被引:21
|
作者
Shin, Young-Cheul [3 ]
Shin, Soo-Yong [2 ]
So, Insuk [3 ]
Kwon, Dongseop [1 ]
Jeon, Ju-Hong [3 ]
机构
[1] Myongji Univ, Dept Comp Engn, Gyeonggi Do 449728, South Korea
[2] Samsung SDS, Healthcare Serv Grp, Seoul 135798, South Korea
[3] Seoul Natl Univ Coll Med, Dept Physiol, Seoul 110799, South Korea
关键词
RECEPTOR POTENTIAL CHANNELS; DRUG DISCOVERY; INTERNATIONAL-UNION; ION CHANNELS; NETWORKS; NOMENCLATURE; PHARMACOLOGY; DISEASE; UPDATE;
D O I
10.1093/nar/gkq814
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Transient receptor potential (TRP) channels are a superfamily of Ca2+-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.
引用
收藏
页码:D356 / D361
页数:6
相关论文
共 50 条
  • [1] LMPID: A manually curated database of linear motifs mediating protein-protein interactions
    Sarkar, Debasree
    Jana, Tanmoy
    Saha, Sudipto
    DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION, 2015,
  • [2] A comprehensive manually curated protein-protein interaction database for the Death Domain superfamily
    Kwon, Dongseop
    Yoon, Jong Hwan
    Shin, Soo-Yong
    Jang, Tae-Ho
    Kim, Hong-Gee
    So, Insuk
    Jeon, Ju-Hong
    Park, Hyun Ho
    NUCLEIC ACIDS RESEARCH, 2012, 40 (D1) : D331 - D336
  • [3] iPPI-DB: a manually curated and interactive database of small non-peptide inhibitors of protein-protein interactions
    Labbe, Celine M.
    Laconde, Guillaume
    Kuenemann, Melaine A.
    Villoutreix, Bruno O.
    Sperandio, Olivier
    DRUG DISCOVERY TODAY, 2013, 18 (19-20) : 958 - 968
  • [4] FireProtDB: database of manually curated protein stability data
    Stourac, Jan
    Dubrava, Juraj
    Musil, Milos
    Horackova, Jana
    Damborsky, Jiri
    Mazurenko, Stanislav
    Bednar, David
    NUCLEIC ACIDS RESEARCH, 2021, 49 (D1) : D319 - D324
  • [5] TRIP Database 2.0: A Manually Curated Information Hub for Accessing TRP Channel Interaction Network
    Shin, Young-Cheul
    Shin, Soo-Yong
    Chun, Jung Nyeo
    Cho, Hyeon Sung
    Lim, Jin Muk
    Kim, Hong-Gee
    So, Insuk
    Kwon, Dongseop
    Jeon, Ju-Hong
    PLOS ONE, 2012, 7 (10):
  • [6] The MIPS mammalian protein-protein interaction database
    Pagel, P
    Kovac, S
    Oesterheld, M
    Brauner, B
    Dunger-Kaltenbach, I
    Frishman, G
    Montrone, C
    Mark, P
    Stümpflen, V
    Mewes, HW
    Ruepp, A
    Frishman, D
    BIOINFORMATICS, 2005, 21 (06) : 832 - 834
  • [7] CPAD, Curated Protein Aggregation Database: A Repository of Manually Curated Experimental Data on Protein and Peptide Aggregation
    Thangakani, A. Mary
    Nagarajan, R.
    Kumar, Sandeep
    Sakthivel, R.
    Velmurugan, D.
    Gromiha, M. Michael
    PLOS ONE, 2016, 11 (04):
  • [8] BioLiP: a semi-manually curated database for biologically relevant ligand-protein interactions
    Yang, Jianyi
    Roy, Ambrish
    Zhang, Yang
    NUCLEIC ACIDS RESEARCH, 2013, 41 (D1) : D1096 - D1103
  • [9] SoluProtMutDB: A manually curated database of protein solubility changes upon mutations
    Velecky, Jan
    Hamsikova, Marie
    Stourac, Jan
    Musil, Milos
    Damborsky, Jiri
    Bednar, David
    Mazurenko, Stanislav
    COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL, 2022, 20 : 6339 - 6347
  • [10] A database server for predicting protein-protein interactions
    Han, K
    Park, B
    COMPUTATIONAL SCIENCE - ICCS 2004, PT 1, PROCEEDINGS, 2004, 3036 : 271 - 278