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ZENODO
Dataset . 2021
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image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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Dataset . 2021
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image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2021
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image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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Dataset . 2021
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Dataset . 2021
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Dataset . 2021
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G-Protein Coupled Receptor-Ligand Dissociation Rates and Mechanisms from tauRAMD Simulations

Authors: Daria B. Kokh; Rebecca C. Wade;

G-Protein Coupled Receptor-Ligand Dissociation Rates and Mechanisms from tauRAMD Simulations

Abstract

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), reported in the manuscript "G-Protein Coupled Receptor-Ligand Dissociation Rates and Mechanisms from tRAMD Simulations" "G-Protein Coupled Receptor-Ligand Dissociation Rates and Mechanisms from tauRAMD Simulations" by Daria B. Kokh, Rebecca C. Wade submitted to the Journal of Chemical Theory and Computation 1. README.txt - instruction for script usage 2. PDBs.zip - PDB structures of complexes in water box used in the analysis, ligand PDB and mol2 structures 3. tauRAMD_v2.py - Python sctipt for estimation relative residence times from Gromacs-RAMD output 4. IFP_preprocess_Gromacs.py and IFP_SL-B2AR-WB-EX.py - Python scripts for preprocessing of RAMD trajectories and generation of IFPs 5. Scripts.zip - additional python functions 6. IXO-CHL.zip, IXO-ALO-CHL.zip, ACh-CHL.zip, b2AR.zip - Protein-Ligand Interaction Fingerprints (PL IFPs) generated from RAMD trajectories for mAChR M2 with iperoxo, mAChR M2 with iperoxo and PAM, mAChR M2 with ACh, and ��2AR with alprenolol . 7. Topology.zip - Gromacs topology, index.ndx, and coordinate gro files for all four systems 8. Example_b2AR-alprenolol.zip - a set of data for a test example showing how IFP can be generated from RAMD trajectories (including several representative trajectories) 9. Example_b2AR-alprenolol.tar - 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. 10. Gromacs-IFP-GPCR.ipynb - Jupyter Notebook for analysis of trajectories using generated IFP data 11. Auxi-Plots-GPCR.ipynb - Jupyter Notebook for generation additional plots from the paper 12. Waters.zip - number of water molecules in the binding pocket in dissociation trajectories of the ��2AR - alprenolol system 13. GPCR.yml - JN environment file

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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