Smart Reaction Templating: A Graph-Based Method for Automated Molecular Dynamics Input Generation

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Authors: Julian Konrad, Robert H. Meißner
Cited by: 0

Abstract

Templater is a Python toolkit accompanying “Smart Reaction Templating: A Graph-Based Method for Automated Molecular Dynamics Input Generation” (Konrad & Meißner, J. Chem. Inf. Model., 2025, 65, 6038–6047, https://doi.org/10.1021/acs.jcim.5c00445). It automates preparation of reactive molecular dynamics workflows with LAMMPS bond/react, including force field reduction (reduce_ff.py), reaction template and mapping generation (create_bondreact.py), and creation of testing input scripts (lammps_files.py). Additional visualization and helper utilities are provided in the tools/ directory, and ready-to-run workflows are available in the examples/ directory to support reproducible setup and validation of reaction simulations.

Fields of Study & Subjects

Advanced Physical and Chemical Molecular Interactions Computational Drug Discovery Methods Advanced Chemical Physics Studies

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
9 February 2026