Automated Author ProfileMatsui, Tsutomu
Stanford Synchrotron Radiation Lightsource, SLAC National Accelerator Laboratory, 2575 Sand Hill Road, MS 69, Menlo Park, California 94025
Matsui, Tsutomu
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: 4.6 (sum of 3 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
These scripts demonstrate the use of IMP, MODELLER, FoXS, and AllosMod, and Minimal Ensemble Search in the modeling of the Nup133 protein in the S. cerevisiae Nuclear Pore Complex (NPC). First, MODELLER is used to generate an initial comparative model of Nup133 guided by FoXS fits to SAXS data. Then, the model was subjected to conformational sampling with AllosMod, and finally Minimal Ensemble Search was used to identify four models that together reproduced both the SAXS data and a set of electron microscopy class averages. The final model was also validated against a set of chemical cross-links, that were not used in the modeling.For more information about how to reproduce this modeling, see the Sali lab website or the README file.
Authors
- Kim, Seung Joong ;
- Fernandez-Martinez, Javier ;
- Sampathkumar, Parthasarathy ;
- Martel, Anne ;
- Matsui, Tsutomu ;
- Tsuruta, Hiro ;
- Weiss, Thomas M. ;
- Shi, Yi ;
- Markina-Inarrairaegui, Ane ;
- Bonanno, Jeffery B. ;
- Sauder, J. Michael ;
- Burley, Stephen K. ;
- Chait, Brian T. ;
- Almo, Steven C. ;
- Rout, Michael P. ;
- Sali, Andrej
These scripts demonstrate the use of IMP, MODELLER, FoXS, and AllosMod, and Minimal Ensemble Search in the modeling of the Nup133 protein in the S. cerevisiae Nuclear Pore Complex (NPC). First, MODELLER is used to generate an initial comparative model of Nup133 guided by FoXS fits to SAXS data. Then, the model was subjected to conformational sampling with AllosMod, and finally Minimal Ensemble Search was used to identify four models that together reproduced both the SAXS data and a set of electron microscopy class averages. The final model was also validated against a set of chemical cross-links, that were not used in the modeling.For more information about how to reproduce this modeling, see the Sali lab website or the README file.
Authors
- Kim, Seung Joong ;
- Fernandez-Martinez, Javier ;
- Sampathkumar, Parthasarathy ;
- Martel, Anne ;
- Matsui, Tsutomu ;
- Tsuruta, Hiro ;
- Weiss, Thomas M. ;
- Shi, Yi ;
- Markina-Inarrairaegui, Ane ;
- Bonanno, Jeffery B. ;
- Sauder, J. Michael ;
- Burley, Stephen K. ;
- Chait, Brian T. ;
- Almo, Steven C. ;
- Rout, Michael P. ;
- Sali, Andrej
These scripts demonstrate the use of IMP, MODELLER, FoXS, and AllosMod, and Minimal Ensemble Search in the modeling of the Nup133 protein in the S. cerevisiae Nuclear Pore Complex (NPC). First, MODELLER is used to generate an initial comparative model of Nup133 guided by FoXS fits to SAXS data. Then, the model was subjected to conformational sampling with AllosMod, and finally Minimal Ensemble Search was used to identify four models that together reproduced both the SAXS data and a set of electron microscopy class averages. The final model was also validated against a set of chemical cross-links, that were not used in the modeling.For more information about how to reproduce this modeling, see the Sali lab website or the README file.
Authors
- Kim, Seung Joong ;
- Fernandez-Martinez, Javier ;
- Sampathkumar, Parthasarathy ;
- Martel, Anne ;
- Matsui, Tsutomu ;
- Tsuruta, Hiro ;
- Weiss, Thomas M. ;
- Shi, Yi ;
- Markina-Inarrairaegui, Ane ;
- Bonanno, Jeffery B. ;
- Sauder, J. Michael ;
- Burley, Stephen K. ;
- Chait, Brian T. ;
- Almo, Steven C. ;
- Rout, Michael P. ;
- Sali, Andrej