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Repository of Enriched Structures of Proteins Involved in the Red Blood Cell Environment (RESPIRE).
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- Author(s): Téletchéa S;Téletchéa S;Téletchéa S;Téletchéa S;Téletchéa S;Téletchéa S; Santuz H; Santuz H; Santuz H; Santuz H; Santuz H; Léonard S; Léonard S; Léonard S; Léonard S; Léonard S; Etchebest C; Etchebest C; Etchebest C; Etchebest C; Etchebest C
- Source:
PloS one [PLoS One] 2019 Feb 22; Vol. 14 (2), pp. e0211043. Date of Electronic Publication: 2019 Feb 22 (Print Publication: 2019).- Publication Type:
Journal Article; Research Support, Non-U.S. Gov't- Language:
English - Source:
- Additional Information
- Source: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
- Publication Information: Original Publication: San Francisco, CA : Public Library of Science
- Subject Terms:
- Abstract: The Red Blood Cell (RBC) is a metabolically-driven cell vital for processes such a gas transport and homeostasis. RBC possesses at its surface exposing antigens proteins that are critical in blood transfusion. Due to their importance, numerous studies address the cell function as a whole but more and more details of RBC structure and protein content are now studied using massive state-of-the art characterisation techniques. Yet, the resulting information is frequently scattered in many scientific articles, in many databases and specialized web servers. To provide a more compendious view of erythrocytes and of their protein content, we developed a dedicated database called RESPIRE that aims at gathering a comprehensive and coherent ensemble of information and data about proteins in RBC. This cell-driven database lists proteins found in erythrocytes. For a given protein entry, initial data are processed from external portals and enriched by using state-of-the-art bioinformatics methods. As structural information is extremely useful to understand protein function and predict the impact of mutations, a strong effort has been put on the prediction of protein structures with a special treatment for membrane proteins. Browsing the database is available through text search for reference gene names or protein identifiers, through pre-defined queries or via hyperlinks. The RESPIRE database provides valuable information and unique annotations that should be useful to a wide audience of biologists, clinicians and structural biologists. Database URL: http://www.dsimb.inserm.fr/respire.
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- Publication Date: Date Created: 20190223 Date Completed: 20191029 Latest Revision: 20200309
- Publication Date: 20240104
- Accession Number: PMC6386447
- Accession Number: 10.1371/journal.pone.0211043
- Accession Number: 30794542
- Source:
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