PyConSolv: A Python Package for Conformer Generation of (Metal-Containing) Systems in Explicit Solvent

We introduce PyConSolv, a freely available python package that automates the generation of conformers of metal and non-metal containing complexes in explicit solvent, through classical molecular dynamics simulations. Using a streamlined workflow and interfacing with widely used computational chemist...

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Bibliographic Details
Main Authors: Talmazan, Radu A., Podewitz, Maren
Other Authors: Austrian Science Fund
Format: Other/Unknown Material
Language:unknown
Published: American Chemical Society (ACS) 2023
Subjects:
Online Access:http://dx.doi.org/10.26434/chemrxiv-2023-35txk
https://chemrxiv.org/engage/api-gateway/chemrxiv/assets/orp/resource/item/646b0447fb40f6b3eef8dccd/original/py-con-solv-a-python-package-for-conformer-generation-of-metal-containing-systems-in-explicit-solvent.pdf
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Summary:We introduce PyConSolv, a freely available python package that automates the generation of conformers of metal and non-metal containing complexes in explicit solvent, through classical molecular dynamics simulations. Using a streamlined workflow and interfacing with widely used computational chemistry software, PyConSolv is an all-in-one tool for the generation of conformers in any solvent. Input requirements are minimal, only the geometry of the structure and the desired solvent in xyz (XMOL) format are needed. The package can also account for charged systems, by including arbitrary counterions in the simulation. A bonded model parametrization is performed automatically, utilizing the AmberTools, ORCA, and Multiwfn software packages. PyConSolv provides a selection of pre-parametrized solvents and counterions for use in classical molecular dynamics simulations. We show the applicability of our package on a number of (transition-metal-containing) systems. The software is provided open-source and free of charge.