pyMBE: The Python-based molecule builder for ESPResSo
Year: 2024
Type: article
Abstract: We present the Python-based Molecule Builder for ESPResSo (pyMBE), an open source software application to design custom coarse-grained (CG) models, as well as pre-defined models of polyelectrolytes, peptides, and globular proteins in the Extensible Simulation Package for Research on Soft Matter (ESPResSo). The Python interface of ESPResSo offers a flexible framework, capable of building custom CG models from scratch. As a downside, building CG models from scratch is prone to mistakes, especially for newcomers in the field of CG modeling, or for molecules with complex architectures. The pyMBE module builds CG models in ESPResSo using a hierarchical bottom-up approach, providing a robust tool to automate the setup of CG models and helping new users prevent common mistakes. ESPResSo features the constant pH (cpH) and grand-reaction (G-RxMC) methods, which have been designed to study chemical reaction equilibria in macromolecular systems with many reactive species. However, setting up these methods for systems, which contain several types of reactive groups, is an error-prone task, especially for beginners. The pyMBE module enables the automatic setup of cpH and G-RxMC simulations in ESPResSo, lowering the barrier for newcomers and opening the door to investigate complex systems not studied with these methods yet. To demonstrate some of the applications of pyMBE, we showcase several case studies where we successfully reproduce previously published simulations of charge-regulating peptides and globular proteins in bulk solution and weak polyelectrolytes in dialysis. The pyMBE module is publicly available as a GitHub repository (https://github.com/pyMBE-dev/pyMBE), which includes its source code and various sample and test scripts, including the ones that we used to generate the data presented in this article.
Source: The Journal of Chemical Physics
DOI: 10.1063/5.0216389
Language: English
Subfield: Physical and Theoretical Chemistry
Field: Chemistry
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $3,500
Funders: Univerzita Karlova v Praze, Přírodovědecká Fakulta, Univerzita Karlova, Universidad Tecnológica Nacional, European Commission, Deutsche Forschungsgemeinschaft, Grantová Agentura České Republiky, Generalitat de Catalunya, Consejo Nacional de Investigaciones Científicas y Técnicas, Agencia Nacional de Promoción de la Investigación, el Desarrollo Tecnológico y la Innovación, Facultad Regional Córdoba, Universidad Tecnológica Nacional, HORIZON EUROPE Framework Programme, Fondo para la Investigación Científica y Tecnológica
Awards: G1177871140, G1284553849, Adaptive Polymergele mit kontrollierter Netzwerkstruktur, G1869317003, Centre of Excellence in exascale-oriented application co-design and delivery for multiscale simulations, G2720564847, Simulations of reaction equilibria in polymer systems - method development and applications, G4080161284, G4953098911, G512530645, Stärken der Qualität und der Nutzer*innenschaft der Forschungssoftware ESPResSo für partikelbasierte Simulationen, FOR 2811: Adaptive Polymergele mit kontrollierter Netzwerkstruktur, G8580927958
OpenAlex ID: W4391336910
