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Permutationally invariant networks for enhanced sampling (PINES)
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Permutationally Invariant Networks for Enhanced Sampling (PINES): Discovery of Multi-Molecular and Solvent-Inclusive Collective Variables
Implementation of PINES in PLUMED2
- PLUMED2
- MD Engine (GROMACS)
Case 1: With installed PLUMED2+MD,
- Follow this for reinstalling PLUMED with PINES:
- Download this repository
- Execute
patch_piv_mesa_plumed.sh <path_to_PLUMED>
- Re-install PLUMED2 with
--enable-modules=all
or--enable-modules=pines+annbfunc
- Alternative usage without reinstalling PLUMED:
- use
LOAD
command in PLUMED to link in plumed.dat file with thePINES
codes in this repository. Example usage can be found inexamples/driverTests.
- use
Case 2: New installation of PLUMED2+MD,
- Download this repository
- Download MD Engine & PLUMED2.
- Execute
patch_piv_mesa_plumed.sh <path_to_PLUMED>
- Follow standard MD Engine + PLUMED2 installation process with
--enable-modules=all
or--enable-modules=pines+annbfunc
Please referparameters.md for a template PLUMED file along with annotations explaining each parameter. In case the annotations are not clear, please let us know by opening an issue in this repo.
If you use this code in your work, please cite:
Herringer, Nicholas SM; Dasetty, Siva; Gandhi, Diya; Lee, Junhee; Ferguson, Andrew L. "Permutationally Invariant Networks for Enhanced Sampling (PINES): Discovery of Multi-Molecular and Solvent-Inclusive Collective Variables." arXiv preprint arXiv:2308.08680. DOI:https://doi.org/10.48550/arXiv.2308.08680
@misc{herringer2023permutationally, title={Permutationally Invariant Networks for Enhanced Sampling (PINES): Discovery of Multi-Molecular and Solvent-Inclusive Collective Variables}, author={Nicholas S. M. Herringer and Siva Dasetty and Diya Gandhi and Junhee Lee and Andrew L. Ferguson}, year={2023}, eprint={2308.08680}, archivePrefix={arXiv}, primaryClass={q-bio.BM}}
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Permutationally invariant networks for enhanced sampling (PINES)
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