Note
Please cite: Fabio D Steffen, Richard A Cunha, Roland K O Sigel, Richard Börner, FRET-guided modeling of nucleic acids, Nucleic Acids Research, 2024, https://doi.org/10.1093/nar/gkae496
This repository contains structural models of the proof-of-concept de novo modeling trial of a manganese(II) sensing riboswitch (PDB 6n2v). The modeling code can be found here.
The resulting models are organized as follows:
1_scored_by_rosetta_energy/
contains the top 10 models scored by the Rosetta energy function from FARFAR2 (Watkins, Structure 2020) was well as donor and acceptor accessible-contact volumes (ACV). The predicted mean FRET values computed by FRETraj and the Rosetta energy scores are listed intop10_rosetta_energy_FRET_prediction.csv
state | FRET | name | Rosetta_score |
---|---|---|---|
1 | 0.79 | S_000292_003 | -193.882 |
2 | 0.1 | S_000014_004 | -188.55 |
3 | 0.09 | S_000290_008 | -186.863 |
4 | 0.07 | S_000059_012 | -185.191 |
5 | 0.19 | S_000083_009 | -185.004 |
... |
Visualize the ACVs on the structural models by running the following Python script from the PyMOL command line
run top10_rosetta_energy.py
2_scored_by_FRET_RMSD/
contains models filtered by a FRET treshold >0.4 and a RMSD < 15 A. All models are superimposed and aligned to the crystal structure (PDB 6n2v). The best model (no. 21) has a RMSD of 8.6 A to the crystal structure. The calculated RMSDs and Rosetta energy scores are listed inmodels_scored_by_FRET_and_RMSD.csv
state | RMSD | name | Rosetta_score |
---|---|---|---|
1 | 11.70476341 | S_000355_008 | -184.459 |
2 | 11.52333355 | S_000086_010 | -175.494 |
3 | 12.03283024 | S_000054_007 | -173.63 |
... | |||
21 | 8.576731682 | S_000273_005 | -157.595 |
... |
Visualize the overlay of the low RMSD models
run 2.1_lowest_RMSD_model_overlay.py
Compare the individual models to the crystal structure
run 2.2_lowest_RMSD_model_to_crystal.py