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add zenodo to README.md
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kntkb committed Jul 15, 2023
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7 changes: 6 additions & 1 deletion README.md
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[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.8150601.svg)](https://doi.org/10.5281/zenodo.8150601)

# Train and evaluate espaloma
This repository includes scripts to retrain and generate `espaloma-0.3.0` forcefield.
`espaloma-0.3.0` force field is a `Class I` force field where the valence parameters are assigned and optimized via machine learning framework.
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[Espaloma ver. 0.3.0](https://github.com/choderalab/espaloma/tree/0.3.0) was used to create the DGL graphs in `01-create-dataset/`.
Note that version 0.3.0 is no longer compatible with the 0.2.x models, and vice versa.
A fixed version of 0.3.0 (commit hash:[4c6155b72d00ce0190b3cb551e7e59f0adc33a56](https://github.com/choderalab/espaloma/tree/4c6155b72d00ce0190b3cb551e7e59f0adc33a56))
was used for the refitting experinment and model evaluation which allows improper torsions to be fit to n=1,2 phase multiplicity.
was used for the refitting experinment and model evaluation which allows improper torsions to be fit to n=1,2 phase multiplicity.

## Note
For a quick start, the preprocessed data in `openff-default/02-train/merge-data/` is available [here](https://doi.org/10.5281/zenodo.8150601) on Zenodo for training `espaloma-0.3.0`.
2 changes: 2 additions & 0 deletions openff-default/02-train/merge-data/README.md
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- Seperating duplicated isomeric smiles within different datasets into a new dataset
- Merge duplicated isomeric smiles from different datasets into a single DGL graph

The preprocessed data in `openff-default/02-train/merge-data/` is available [here](https://doi.org/10.5281/zenodo.8150601) on Zenodo for training `espaloma-0.3.0`.

## Manifest
- `script`: Stores main scripts to filter and prepare input DGL graphs in training espaloma
- `calc_ff.py`: Compute baseline energies and forces using `gaff-1.81`, `gaff-2.11`, `openff-1.2.1`, `openff-2.0.0`, and `Amber ff14SB (RNA.OL3)`
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