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Molecular insights into chromatography: Automated workflows for the virtual design of methacrylate-based chromatography resins

Ballweg, Tim 1; Liu, Modan 1; Mama, Ahmed 1; Wenzel, Wolfgang 2; Franzreb, Matthias ORCID iD icon 1
1 Institut für Funktionelle Grenzflächen (IFG), Karlsruher Institut für Technologie (KIT)
2 Institut für Nanotechnologie (INT), Karlsruher Institut für Technologie (KIT)

Abstract:

Computational chemistry provides invaluable insights into the behaviors and properties of various materials at the molecular level. This capability is of particular interest in chromatography where adsorbents engage with target molecules through intricate interactions. However, the broad integration of molecular simulations into the field of chromatography has been notably limited, despite significant achievements in previous studies. One potential reason is the requirement for considerable expertise to effectively configure these simulations, presenting a significant barrier to entry. In this context, workflow management systems (WMSs) provide a viable solution by allowing experts to automate complex simulation tasks, making them accessible to the wider research community without necessitating in-depth knowledge of the simulation process. This manuscript outlines the creation and application of two automated workflows designed to generate comprehensive all-atom models of methacrylate-based chromatography resin surfaces and to rapidly calculate binding free energies with peptides as target molecules. These innovations represent a significant advancement in the field by streamlining the simulation process, enhancing predictive accuracy, and making complex molecular modeling more accessible to researchers across disciplines. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000183118
Veröffentlicht am 11.07.2025
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Funktionelle Grenzflächen (IFG)
Institut für Nanotechnologie (INT)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 08.2025
Sprache Englisch
Identifikator ISSN: 0021-9673
KITopen-ID: 1000183118
HGF-Programm 43.33.11 (POF IV, LK 01) Adaptive and Bioinstructive Materials Systems
Erschienen in Journal of Chromatography A
Verlag Elsevier
Band 1751
Seiten 466027
Nachgewiesen in OpenAlex
Web of Science
Scopus
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