Metadata-Version: 2.4
Name: prism_pruner
Version: 0.0.4
Summary: Prism Pruner
Author-email: Nicolò Tampellini <nicolo.tampellini@yale.edu>
License-Expression: MIT
Requires-Python: >=3.12
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: networkx>=3.0
Requires-Dist: numpy>=2.0
Requires-Dist: periodictable
Requires-Dist: scipy>=1.10
Requires-Dist: tqdm>=4
Dynamic: license-file

# Prism Pruner

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PRISM (PRuning Interface for Similar Molecules) is the modular similarity pruning code originally from [FIRECODE](https://github.com/ntampellini/FIRECODE/tree/main), in a polished standalone package. It filters out duplicate structures from conformational ensembles, leaving behind non-redundant states.

The code implements a cached, iterative, divide-and conquer approach on increasingly large subsets of the ensemble and removes duplicates as assessed by one of three metrics:
- Relative deviation of the moments of inertia on the principal axes
- Heavy-atom RMSD and maximum deviation
- Rotamer-corrected heavy-atom RMSD and maximum deviation

## Installation
The package is distributed through PyPI.

    pip install prism_pruner

## Usage
The main pruning functions are in prism_pruner.pruning, and a wrapper that chains up to all three is also available. The functions return the pruned ensemble structures and the relative boolean mask.

```python
from prism_pruner.conformer_ensemble import ConformerEnsemble
from prism_pruner.pruner import prune

ensemble = ConformerEnsemble.from_xyz("ensemble.xyz")

ensemble.coords.shape # (1086, 136, 3)

pruned, mask = prune(
    ensemble.coords,
    ensemble.atoms,

    # the third pruning routine can be
    # slow and is often not necessary,
    # so it's off by default
    rot_corr_rmsd_pruning=False,

    debugfunction=print,
)

pruned.shape # (387, 136, 3)
mask.shape # (1086,)
# where pruned is ensemble.coords[mask]
```
For additional performance, it is also possible to read/provide energies to only evaluate the similarity of structures that are energetically close.

For additional usage, see the [examples folder](https://github.com/ntampellini/prism_pruner/tree/master/examples).

## Credits
This package was created with [Cookiecutter](https://github.com/audreyr/cookiecutter) and the [jevandezande/pixi-cookiecutter](https://github.com/jevandezande/pixi-cookiecutter) project template.
