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Data supporting "Machine Learning-based Modeling of Olfactory Receptors: Human OR51E2 as a Case Study"

Authors: Capelli, Riccardo;

Data supporting "Machine Learning-based Modeling of Olfactory Receptors: Human OR51E2 as a Case Study"

Abstract

Simulation data and input files in support of the Manuscript:"Machine Learning-based Modeling of Olfactory Receptors: Human OR51E2 as a Case Study". The archive is organized in 6 different folders: 1. 7x7_rmsd, which contains a tcl script (to be run in VMD) to compute the 7x7 RMSD matrix (see Wang et al. J Struct. Bio, (2017)). 2. a100_plumed, which contains PLUMED input files to compute A100 index on OR51E2 trajectories. 3. initial_structures, which contains the 6 different conformation for hOR51E2 obtained by the different predictors in the pdb format. 4. mdp_files, which contains the GROMACS mdp files to perform all the protocol described in the paper. 5. topologies, which contains the 6 different topologies (in .top format) and the initial conformation (in .gro format) for the hOR51E2 embedded in the membrane and solvated. 6. trajectories, which contains the 18 (6 systems, 3 replicas per system) different trajectories with the sodium in place close to D692.50 without solvent and ions (in .xtc format with a frame every 100 ps) and a reference conformation (in .gro format). Here we have also added the trajectory for the SwissModel-derived simulation without sodium ion in place, where we observed the ion binding. This last trajectory contains also solvent and ions, but with a lower printing frequency (1 ns).

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selected citations
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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).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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