Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

General information

URL: http://www.ideal.force.cs.is.nagoya-u.ac.jp/IDEAL/
Full name: Intrinsically Disordered proteins with Extensive Annotations and Literature
Description: IDEAL provides a collection of knowledge on experimentally verified intrinsically disordered proteins (IDPs)
Year founded: 2012
Last update: 2015-06-12
Version: v7.0
Accessibility:
Manual:
Accessible
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Country/Region: Japan

Classification & Tag

Data type:
Data object:
NA
Database category:
Major species:
NA
Keywords:

Contact information

University/Institution: Nagoya University
Address: Maebashi 371-0816,Japan
City: Maebashi
Province/State:
Country/Region: Japan
Contact name (PI/Team): Satoshi Fukuchi
Contact email (PI/Helpdesk): sfukuchi@maebashi-it.ac.jp

Publications

24178034
IDEAL in 2014 illustrates interaction networks composed of intrinsically disordered proteins and their binding partners. [PMID: 24178034]
Fukuchi S, Amemiya T, Sakamoto S, Nobe Y, Hosoda K, Kado Y, Murakami SD, Koike R, Hiroaki H, Ota M.

IDEAL (Intrinsically Disordered proteins with Extensive Annotations and Literature, http://www.ideal.force.cs.is.nagoya-u.ac.jp/IDEAL/) is a collection of intrinsically disordered proteins (IDPs) that cannot adopt stable globular structures under physiological conditions. Since its previous publication in 2012, the number of entries in IDEAL has almost tripled (120 to 340). In addition to the increase in quantity, the quality of IDEAL has been significantly improved. The new IDEAL incorporates the interactions of IDPs and their binding partners more explicitly, and illustrates the protein-protein interaction (PPI) networks and the structures of protein complexes. Redundant experimental data are arranged based on the clustering of Protein Data Bank entries, and similar sequences with the same binding mode are grouped. As a result, the new IDEAL presents more concise and informative experimental data. Nuclear magnetic resonance (NMR) disorder is annotated in a systematic manner, by identifying the regions with large deviations among the NMR models. The ordered/disordered and new domain predictions by DICHOT are available, as well as the domain assignments by HMMER. Some examples of the PPI networks and the highly deviated regions derived from NMR models will be described, together with other advances. These enhancements will facilitate deeper understanding of IDPs, in terms of their flexibility, plasticity and promiscuity.

Nucleic Acids Res. 2014:42(Database issue) | 64 Citations (from Europe PMC, 2024-11-23)
22067451
IDEAL: Intrinsically Disordered proteins with Extensive Annotations and Literature. [PMID: 22067451]
Fukuchi S, Sakamoto S, Nobe Y, Murakami SD, Amemiya T, Hosoda K, Koike R, Hiroaki H, Ota M.

IDEAL, Intrinsically Disordered proteins with Extensive Annotations and Literature (http://www.ideal.force.cs.is.nagoya-u.ac.jp/IDEAL/), is a collection of knowledge on experimentally verified intrinsically disordered proteins. IDEAL contains manual annotations by curators on intrinsically disordered regions, interaction regions to other molecules, post-translational modification sites, references and structural domain assignments. In particular, IDEAL explicitly describes protean segments that can be transformed from a disordered state to an ordered state. Since in most cases they can act as molecular recognition elements upon binding of partner proteins, IDEAL provides a data resource for functional regions of intrinsically disordered proteins. The information in IDEAL is provided on a user-friendly graphical view and in a computer-friendly XML format.

Nucleic Acids Res. 2012:40(Database issue) | 59 Citations (from Europe PMC, 2024-11-23)

Ranking

All databases:
1036/6265 (83.48%)
Structure:
121/871 (86.223%)
Literature:
98/539 (82.004%)
1036
Total Rank
122
Citations
10.167
z-index

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Record metadata

Created on: 2015-06-20
Curated by:
Lina Ma [2018-06-12]
Zhang Zhang [2016-04-26]
Chunlei Yu [2016-03-31]
Chunlei Yu [2015-11-19]
Chunlei Yu [2015-06-30]
Chunlei Yu [2015-06-29]