PEACE: Protomer Enumerator & Automatic Calculator for Energies

Warning

This repository is actively being developed. Expect breaking changes and incomplete documentation.

Getting started

1. Clone this repo and add this base directory to PATH, or run calculations directly from here.
2. Install the project dependencies in pyproject.toml using uv or pip.
3. If using free energy simulations, install gxtb version 2.0.1 or greater into bin (or specify its location with --xtb-executable). If running into issues, one can also install gxtb version 2.0.0, and separately install xtb and cpcm because the solvation model was not included in the 2.0.0 binary. (If this is done, set --xtb-version to legacy.)

Example setup with pip:

git clone git@github.com:jonwzheng/PEACE.git
cd PEACE
python -m venv peace_env
source peace_env/bin/activate
pip install -e .

Example run: python -m peace.main --smiles "NCC(=O)O" --solvation

CLI commands can be displayed e.g. with: python -m peace.main --help

How it works:

1. Tautomer Enumeration using RDKit.
2. Protomer Enumeration by searching each tautomer for acid/base sites and sequentially (de)protonating all possible combinations (this searches for zwitterion forms).
3. (Optional) Microstate Population Estimation using quantum-chemical calculations:
   • Screening: KDG conformer → CPCM-X, g-xTB gas-phase SP, and RRHO on the screening geometry.
   • Refinement (screened-in protomers): MMFF94-ranked conformer ensemble -> GFN2-xTB/ALPB optimization -> re-optimize at g-xTB gas phase.CPCM-X on GFN2-xTB/ALPB geometry; g-xTB SP and RRHO on the g-xTB geometry by default. Pass --no-gxtb-optimize to instead have all energy calculations done at the GFN2-xTB/ALPB geometry. It is planned that a machine learning model will be made available to speed this up.
4. Visualization of all relevant tautomer-protomers based on their graph representations.