Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/rmeli/ifd
Induced Fit Docking Data Set
https://github.com/rmeli/ifd
Last synced: 22 days ago
JSON representation
Induced Fit Docking Data Set
- Host: GitHub
- URL: https://github.com/rmeli/ifd
- Owner: RMeli
- Created: 2022-02-07T16:35:44.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2022-03-04T15:25:43.000Z (over 2 years ago)
- Last Synced: 2023-10-20T22:51:33.601Z (about 1 year ago)
- Language: Python
- Size: 2.07 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Induced Fit Docking Dataset
Reconstruct (partial) data set used to validate Induced Fit Docking (IFD).
> Sherman, W., Day, T., Jacobson, M. P., Friesner, R. A., & Farid, R. (2006). Novel procedure for modeling ligand/receptor induced fit effects. Journal of medicinal chemistry, 49(2), 534-553.
If you use the data in this repository, don't forget to cite the paper above.
## Notes
Visually, the poses in structures `3pgh` and `1cx2` (chain `A`) do not appear to correspond to the ones in Fig. 6 and Fig. 7. For `3pgh` the cognate ligand pose is the same, while the non-cognate ligand is different, which is not a problem since it will be sampled during docking.
Structures `1dba` and `1dm2` (*apo* structures) have been omitted on purpose because there is not ligand in the binding site (useful to automatically define the search space for docking).
## Dependencies
* [pandas](https://pandas.pydata.org/)
* [ProDy](http://prody.csb.pitt.edu/index.html)