Automated Organization ProfileInstitut de Biologie Structurale - IBS,Bacterial Pathogenesis Group - PATBAC,71, avenue des Martyrs,CS 10090,38044 GRENOBLE 9,38044,GRENOBLE,FRANCE
Institut de Biologie Structurale - IBS,Bacterial Pathogenesis Group - PATBAC,71, avenue des Martyrs,CS 10090,38044 GRENOBLE 9,38044,GRENOBLE,FRANCE
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets in this organization
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the organization's datasets
Total Mentions
Total mentions of the organization's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 0.0 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
The IBS BAG includes in this proposal IBS teams and external groups from CEA-Cadarache (St Paul lez Durance) and IRBA (Brétigny-sur-Orge). We study structure-function relationships of proteins emphasizing in human health, biotechnology and methodology. Most of the projects are a continuation of the MX-2498 proposal and can be grouped into different topics as follows: host-pathogen interaction, new therapy targets, fundamental cellular mechanisms, membrane proteins, biotechnological applications and methodology. Some of these projects use integrative approaches (X-ray crystallography, cryo-EM, SAXS and NMR), together with other biophysical and biochemical studies, and very recently the use of AI, with the aim to fully understand the complexity of the biological macromolecular systems under study.
Authors
- Contreras Martel, Carlos ;
- Kadlec, Jan ;
- Mosca, Francesca