In this study, two workflow management systems, SimStack and KNIME, were used to automate complex multistage modeling workflows to streamline molecular modeling in chromatography. This builds upon the researchers’ previous efforts, where they introduced and validated a virtual design approach for generating all-atom models of methacrylate-based chromatography resin surfaces, inclusive of the backbone structure (2). SimStack is a system meant to facilitate efficient implementation, adoption, and execution for complex and extensive simulation workflows (3). The KNIME software platform is meant for end-to-end data science, from creating analytic methods, to deploying and sharing insights within an organization (4).
Using SimStack, the scientists automated the creation of bespoke all-atom resin surface models (AAM). By integrating commonly used ion-exchange ligands, short spacer molecules, and methacrylate-based monomers into the workflow, the scientists were able to simulate a broad spectrum of chromatography resins and modes. The KNIME-automated workflow was used to rapidly calculate binding poses and binding free energies between linear peptides and the previously generated AAM. The automated workflows improved the researcher’s ability to simulate a wide range of biomolecular interactions, they reported.
By making these workflows publicly available, the researchers hope to encourage the chromatography community to build upon their findings and discover new breakthroughs during this process. Users can design novel resin materials, more accurately predict complex interactions with various biomolecules and refine separation processes. In the future, the scientists hope for these workflows to be adapted and expanded further, broadening their utility across different aspects of chromatographic research and solidifying molecular simulation as a cornerstone of modern chromatographic analysis.
References
(1) Ballweg, T.; Liu, M.; Mama, A.; Wenzel, W.; Franzreb, M. Molecular Insights into Chromatography: Automated Workflows for the Virtual Design of Methacrylate-Based Chromatography Resins. J. Chromatogr. A 2025, 1754, 466027. DOI: 10.1016/j.chroma.2025.466027
(2) Ballweg, T.; Liu, M.; Grimm, J.; Sedghamiz, E.; Wenzel, W.; Franzreb, M. All-Atom Modeling of Methacrylate-Based Multi-Modal Chromatography Resins for Langmuir Constant Prediction of Peptides. J. Chromatogr. A 2024, 1730, 465089. DOI: 10.1016/j.chroma.2024.465089
(3) About SimStack. SimStack 2025. https://www.simstack.de/ (accessed 2025-6-11)
(4) KNIME Software. KNIME 2025. https://www.knime.com/software-overview (accessed 2025-6-11)