G-Protein Coupled Receptor-Ligand Dissociation Rates and Mechanisms from tauRAMD Simulations
<p>Data and Python scripts used for generation and analysis of RAMD dissociation trajectories for several GPCR complexes (including example showing generation of the Protein-Ligand Interaction Fingerprints, IFP, for several representative RAMD trajectories),</p> <p>reported in the manuscript</p> <p>"G-Protein Coupled Receptor-Ligand Dissociation Rates and Mechanisms from tRAMD Simulations" "G-Protein Coupled Receptor-Ligand Dissociation Rates and Mechanisms from tauRAMD Simulations"</p> <p>by Daria B. Kokh, Rebecca C. Wade</p> <p>submitted to the Journal of Chemical Theory and Computation</p> <p> </p> <p>1. <strong>README.txt </strong>- instruction for script usage</p> <p>2. <strong>PDBs.zip</strong> - PDB structures of complexes in water box used in the analysis, ligand PDB and mol2 structures</p> <p>3. <strong>tauRAMD_v2.py </strong>- Python sctipt for estimation relative residence times from Gromacs-RAMD output </p> <p>4. <strong>IFP_preprocess_Gromacs.py</strong> and <strong>IFP_SL-B2AR-WB-EX.py - </strong>Python scripts for preprocessing of RAMD trajectories and generation of IFPs</p> <p>5. <strong>Scripts.zip</strong> - additional python functions </p> <p>6. <strong>IXO-CHL.zip, IXO-ALO-CHL.zip, ACh-CHL.zip, b2AR.zip</strong> - Protein-Ligand Interaction Fingerprints (PL IFPs) generated from RAMD trajectories for <em>mAChR M2 with iperoxo</em>, <em>mAChR M2 </em><em> with iperoxo and PAM, mAChR M2 with ACh, and </em>β<em>2AR with alprenolol </em><em>.</em> </p> <p>7. <strong>Topology.zip</strong> - Gromacs topology, index.ndx, and coordinate gro files for all four systems</p> <p>8. <strong>Example_b2AR-alprenolol.zip </strong>- a set of data for a test example showing how IFP can be generated from RAMD trajectories (including several representative trajectories)</p> <p>9. <strong>Example_b2AR-alprenolol.tar </strong>- almost the same set of data as above (compressed in Windows) but for Linux users. The only difference between tar and zip archive: a short equilibration trajectory that is missing in the zip set but is included in the tar archive.</p> <p>10.<strong> Gromacs-IFP-GPCR.ipynb</strong> - Jupyter Notebook for analysis of trajectories using generated IFP data</p> <p>11. <strong>Auxi-Plots-GPCR.ipynb - </strong>Jupyter Notebook for generation additional plots from the paper</p> <p>12. <strong>Waters.zip</strong> - number of water molecules in the binding pocket in dissociation trajectories of the <em> </em>β<em>2AR - alprenolol system</em></p> <p>13. <strong>GPCR.yml</strong> - JN environment file</p> <p> </p>
ShareScore
44/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 20
- Reuse readiness
- 8
- Engagement
- 8