Skip to main content

Prism Pruner

Project description

Prism Pruner

License Powered by: Pixi Code style: ruff GitHub Workflow Status Codecov PyPI - Version

PRISM logo

PRISM (Pruning Interface for Similar Molecules) is the modular similarity pruning code originally from FIRECODE, 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. Installation through uv is recommended.

uv 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.

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.

CLI usage

A simple CLI is also provided:

usage: prism_pruner [-h] [-e] [-t TIMEOUT] inputfile

Will write the pruned ensemble to inputfile_pruned.xyz.

Credits

This package was created with Cookiecutter and the jevandezande/pixi-cookiecutter project template.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

prism_pruner-0.1.2.tar.gz (30.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

prism_pruner-0.1.2-py3-none-any.whl (30.5 kB view details)

Uploaded Python 3

File details

Details for the file prism_pruner-0.1.2.tar.gz.

File metadata

  • Download URL: prism_pruner-0.1.2.tar.gz
  • Upload date:
  • Size: 30.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.0

File hashes

Hashes for prism_pruner-0.1.2.tar.gz
Algorithm Hash digest
SHA256 b7e81a512be61a78c492f20e5bfe9e82fa4aedc653f36ec108afab92178e96f8
MD5 e7ba0c9f1ea056112842d831913c29e4
BLAKE2b-256 229d660b3e6743a46ccf382d1182e3d93cfc02463d61dae608715ff79dad8655

See more details on using hashes here.

File details

Details for the file prism_pruner-0.1.2-py3-none-any.whl.

File metadata

  • Download URL: prism_pruner-0.1.2-py3-none-any.whl
  • Upload date:
  • Size: 30.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.0

File hashes

Hashes for prism_pruner-0.1.2-py3-none-any.whl
Algorithm Hash digest
SHA256 f859dcde6b2a949d2740068fb426311dbe3c110ab5356a3a924a7c0b645bc6b5
MD5 c13ea3174c2101138244de4447819e31
BLAKE2b-256 b8797eb34987fae388ff3447af7b996c120b0058543f952cfd2fdc243b21e8c9

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page