Automated Author ProfileChepsiror, Curtis
Chepsiror, Curtis
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author'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: 1.0 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This dataset contains all the information reported in our manuscript submitted to PLOS ONE journal. It describes and illustrates a pipeline for allosteric site prediction in Plasmodium falciparum Isoleucyl tRNA Synthetase enzyme to address multidrug resistance and adverse reaction issues. Molecular dynamics trajectories in their original formats are provided, along with all analysis scripts for each intermediate step. Further CSV files for intermediate steps are included. The CSV data is divided into the PfIleRS folder and HsIleRS for post-MD analysis, while MMGBSA and Network Centrality Analysis are in separate folders.
Authors
- Chepsiror, Curtis
This dataset contains all the information reported in our manuscript submitted to PLOS ONE journal. It describes and illustrates a pipeline for allosteric site prediction in Plasmodium falciparum Isoleucyl tRNA Synthetase enzyme to address multidrug resistance and adverse reaction issues. Molecular dynamics trajectories in their original formats are provided, along with all analysis scripts for each intermediate step. Further CSV files for intermediate steps are included. The CSV data is divided into the PfIleRS folder and HsIleRS for post-MD analysis, while MMGBSA and Network Centrality Analysis are in separate folders.
Authors
- Chepsiror, Curtis