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Continuous Integration Status Build Status Documentation Status

ParaMol

ParaMol

ParaMol is a Python library that aims to ease the process of force field parametrization of molecules.

Current Version: 1.1.4

Quick Installation

The easiest way to install ParaMol it.

The last stable version can be installed via conda:

conda install paramol -c jmorado -c ambermd -c conda-forge -c omnia -c rdkit -c anaconda

Available Tasks

  • Parametrization.
  • LLS fitting.
  • Adaptive parametrization.
  • RESP charge fitting.
  • ab initio properties calculation.
  • Objective function plot.
  • Torsional scans.
  • Automatic parametrization of soft torsions.

Current features

  • Parallel and serial computation of the objective .
  • LLS fitting of bonded terms.
  • Available symmetrizers: AMBER, GROMACS, CHARMM.
  • Optimization algorithms: Scipy Optimizers, Monte Carlo, Gradient Descent, Simulated Annealing.
  • QM engines: DFTB+, AMBER, or any QM engine available through ASE.

Tests

ParaMol uses the pytest framework to test the code. pytest can be install through pip:

pip install -U pytest

Once pytest is installed, the tests can be run by simply typing:

python -m pytest

in ParaMol's root directory.

Contact

ParaMol is developed and maintained by João Morado at the University of Southampton.

If you have any question or issue to report please contact [email protected].

References

Morado, J.; Mortenson, P. N.; Verdonk, M. L.; Ward, R. A.; Essex, J. W.; Skylaris, C.-K. ParaMol: A Package for Automatic Parameterization of Molecular Mechanics Force Fields. J. Chem. Inf. Model. 2021, acs.jcim.0c01444. https://doi.org/10.1021/acs.jcim.0c01444.

Notes

This library is no longer under active development.