Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

ATtRACT

General information

URL: http://attract.cnic.es/
Full name:
Description: ATtRACT compiles information on 370 RBPs (RNA-binding proteins) and 1583 RBP consensus binding motifs, 192 of which are not present in any other database.
Year founded: 2016
Last update: 2016-04-06
Version:
Accessibility:
Unaccessible
Country/Region: Spain

Classification & Tag

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Contact information

University/Institution: Centro Nacional de Investigaciones Cardiovasculares Carlos III
Address: Melchor Fernández Almagro 3
City: Madrid
Province/State:
Country/Region: Spain
Contact name (PI/Team): Enrique Lara-Pezzi
Contact email (PI/Helpdesk): elara@cnic.es

Publications

27055826
ATtRACT-a database of RNA-binding proteins and associated motifs. [PMID: 27055826]
Giudice G, Sánchez-Cabo F, Torroja C, Lara-Pezzi E.

RNA-binding proteins (RBPs) play a crucial role in key cellular processes, including RNA transport, splicing, polyadenylation and stability. Understanding the interaction between RBPs and RNA is key to improve our knowledge of RNA processing, localization and regulation in a global manner. Despite advances in recent years, a unified non-redundant resource that includes information on experimentally validated motifs, RBPs and integrated tools to exploit this information is lacking. Here, we developed a database named ATtRACT (available athttp://attract.cnic.es) that compiles information on 370 RBPs and 1583 RBP consensus binding motifs, 192 of which are not present in any other database. To populate ATtRACT we (i) extracted and hand-curated experimentally validated data from CISBP-RNA, SpliceAid-F, RBPDB databases, (ii) integrated and updated the unavailable ASD database and (iii) extracted information from Protein-RNA complexes present in Protein Data Bank database through computational analyses. ATtRACT provides also efficient algorithms to search a specific motif and scan one or more RNA sequences at a time. It also allows discoveringde novomotifs enriched in a set of related sequences and compare them with the motifs included in the database.Database URL:http:// attract. cnic. es. © The Author(s) 2016. Published by Oxford University Press.

Database (Oxford). 2016:2016() | 191 Citations (from Europe PMC, 2025-12-13)

Ranking

All databases:
763/6895 (88.949%)
Interaction:
146/1194 (87.856%)
763
Total Rank
182
Citations
20.222
z-index

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Record metadata

Created on: 2017-03-27
Curated by:
Dong Zou [2018-03-09]
Lina Ma [2017-06-02]
Shixiang Sun [2017-03-27]