Repository of Enriched Structures of Proteins Involved in the Red Blood Cell Environment (RESPIRE).
Stéphane TéletchéaH SantuzS LéonardCatherine EtchebestPublished in: PloS one (2019)
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.
Keyphrases
- red blood cell
- protein protein
- amino acid
- palliative care
- single cell
- binding protein
- healthcare
- small molecule
- emergency department
- stem cells
- artificial intelligence
- mesenchymal stem cells
- electronic health record
- immune response
- transcription factor
- deep learning
- smoking cessation
- ionic liquid
- carbon dioxide
- case control
- replacement therapy