<div class="csl-bib-body">
<div class="csl-entry">Talmazan, R. A., & Podewitz, M. (2023). PyConSolv: A Python Package for Conformer Generation of (Metal-Containing) Systems in Explicit Solvent. <i>Journal of Chemical Information and Modeling</i>, <i>63</i>(17), 5400–5407. https://doi.org/10.1021/acs.jcim.3c00798</div>
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dc.identifier.issn
1549-9596
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/194490
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dc.description.abstract
We introduce PyConSolv, a freely available Python package that automates the generation of conformers of metal- and nonmetal-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 AmberTools, ORCA, and Multiwfn software packages. PyConSolv provides a selection of preparametrized 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.
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dc.description.sponsorship
FWF - Österr. Wissenschaftsfonds
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dc.language.iso
en
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dc.publisher
American Chemical Society (ACS)
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dc.relation.ispartof
Journal of Chemical Information and Modeling
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dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
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dc.subject
Molecular Dynamics Simulation
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dc.subject
Software
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dc.subject
Solvents
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dc.subject
Metals
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dc.subject
Computational Chemistry
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dc.title
PyConSolv: A Python Package for Conformer Generation of (Metal-Containing) Systems in Explicit Solvent