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The human DNA damage response network database of proteins

Authors: León, Eduardo Andrés; Cases, Ildefonso; Rojas, A. M.;

The human DNA damage response network database of proteins

Abstract

The DNA damage response (DDR) is an essential signaling network that protects the integrity of the genome. This network is built upon a repertoire of distinct but often overlapping sub-networks, where sometimes the same components have different roles in precise spatial and temporal scenarios. Perturbations of this network produce genomic instability, which is inherently related to aging (Fernandez-Capetillo 2010), disease (Ciccia and Elledge 2010), and cancer, reviewed in (Lukas, Lukas et al. 2011). Despite its importance, evolutionary studies addressing the emergence of this network were restricted to few protein families (On, Xiong et al. 2010). In this line, we have recently provided the largest systematic analyses of the human DDR network and have analysed its evolutionary properties (Arcas, Fernandez-Capetillo et al. 2014). To complement this study, we have built a resource to explore these data, in an evolutionary context. From this database, it is possible to select genes according with its function in a particular pathway or network, according with post translational modifications (PTMs) where the gene acts as a target or a modifier and also by sequence similarity. When searching for PTMs, affected residues and links to Pubmed articles are provided. In this tool, it is easy to find DDR proteins that emerged at the same age, or involved in same networks/pathways, and also affected by similar PTM modifiers. When a DDR protein is selected, a detailed view displays information regarding its emergence and conservation across 47 species, the overall agreement with the taxonomic tree, and the position of a post- translationaly modified residue in a structure when available. This resource is available at: http://ddr.cbbio.es.

Póster presentado en el XXXVII Congreso de la Sociedad Española de Bioquímica y Biología Molecular (SEBBM), celbrado en Granada del 9 al 12 de septiembre de 2014.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
Related to Research communities
Cancer Research