EasyHybrid: An Interactive Graphical Environment for Quantum, Classical and Hybrid Simulations with pDynamo3
We present EasyHybrid, a free and open-source graphical interface for hybrid quantum chemical/molecular mechanical (QC/MM) simulations built on the pDynamo3 library. The software provides an intuitive environment for preparing, inspecting, and editing molecular systems, while supporting a broad range of simulations, including reaction coordinate scans, molecular dynamics, normal-mode analysis, Nudged Elastic Band, and umbrella sampling. Key features include advanced 3D visualization of large biomolecular systems, interactive editing, flexible atom selection, system pruning for efficient QC/MM setup, orbital and electrostatic potential surfaces, automated log parsing, and trajectory analysis. EasyHybrid integrates these tools into a single platform, offering a familiar yet specialized environment for quantum chemistry and hybrid QC/MM simulations.
Authors
- Luís Fernando Saraiva Macedo Timmers (ORCID: https://orcid.org/0000-0003-0399-5376)
- G. Hagen (ORCID: https://orcid.org/0009-0000-6525-4907)
- José Fernando Ruguiero Bachega (ORCID: https://orcid.org/0000-0002-9849-7873)
- Jorge Chahine (ORCID: https://orcid.org/0000-0002-6474-0337)
- Martin J. Field (ORCID: https://orcid.org/0000-0001-8674-7997)
- Carlos Eduardo Sequeiros-Borja (ORCID: https://orcid.org/0000-0002-7817-0240)
- Kai Nikklas
Institutions
- Univates (BR)
- Centre National de la Recherche Scientifique (FR)
- Universidade Federal do Rio Grande do Sul (BR)
- Commissariat à l'Énergie Atomique et aux Énergies Alternatives (FR)
- CEA Grenoble (FR)
- Evangelisches Krankenhaus Oberhausen (DE)
- Institut Laue-Langevin (FR)
- Immunosciences Lab (United States) (US)
- Laboratoire de Chimie et Biologie des Métaux (FR)
- Cellular Therapeutics (United Kingdom) (GB)
- Łukasiewicz Research Network - Institute of Welding (PL)
- Institut de Biologie Moléculaire et Cellulaire (FR)
- University of Health Sciences (SO)
- Fresenius Kabi (Czechia) (CZ)
- University of Health Sciences Antigua (AG)
- Universidade Estadual Paulista (Unesp) (BR)
- Université Grenoble Alpes (FR)
- University of Rio Grande and Rio Grande Community College (US)
Publication Details
- Journal
- Journal of Chemical Information and Modeling
- Published
- 2025-11-11
- DOI
- https://doi.org/10.1021/acs.jcim.5c02047
- Primary Topic
- Machine Learning in Materials Science
- Type
- article
- Field-Weighted Citation Impact
- 0.00