All-atom modeling of methacrylate-based multi-modal chromatography resins for Langmuir constant prediction of peptides

Ballweg, Tim; Liu, Modan; Grimm, Julian; Sedghamiz, Elaheh; Wenzel, Wolfgang; Franzreb, Matthias

doi:10.1016/j.chroma.2024.465089

Journal of Chromatography A

2024

DOI: 10.1016/j.chroma.2024.465089

|View full text |Cite

All-atom modeling of methacrylate-based multi-modal chromatography resins for Langmuir constant prediction of peptides

Tim Ballweg,

Modan Liu,

Julian Grimm

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 50 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Self‐Driving Lab for Solid‐Phase Extraction Process Optimization and Application to Nucleic Acid Purification

Putz,

Döttling,

Ballweg

et al. 2024

Advanced Intelligent Systems

View full text Add to dashboard Cite

Sorptive bioprocesses are the basis for numerous biotechnological applications such as enzyme immobilization, biosensors, controlled drug delivery, water treatment, and molecular purification. Yet due to the complexity of these processes, their optimization is still time, labor, and cost‐intensive. This research presents a flexible self‐driving laboratory (SDL) designed for the accelerated development and optimization of solid‐phase extraction processes. As a use case, the SDL was used to optimize a DNA purification process using silica magnetic beads. Through the integration of robotics, machine learning, and data‐driven experimentation, the SDL demonstrates a highly accelerated process optimization with minimal human intervention. In the multistep purification approach, the system is able to optimize buffer compositions for DNA extraction from complex samples, demonstrating effectiveness in both conventional chaotropic salt‐based methods and innovative chaotropic salt‐free buffers. The study highlights the SDL's capability to autonomously refine process parameters, achieving significant enhancements in yield and purity of the product. This blueprint for future self‐driving optimization of bioprocess parameters showcases the potential of autonomous systems to revolutionize biochemical process development, offering insights into scalable, environmentally sustainable, and cost‐effective solutions.

show abstract

Self‐Driving Lab for Solid‐Phase Extraction Process Optimization and Application to Nucleic Acid Purification

Putz,

Döttling,

Ballweg

et al. 2024

Advanced Intelligent Systems

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

All-atom modeling of methacrylate-based multi-modal chromatography resins for Langmuir constant prediction of peptides

Cited by 1 publication

References 50 publications

Self‐Driving Lab for Solid‐Phase Extraction Process Optimization and Application to Nucleic Acid Purification

Self‐Driving Lab for Solid‐Phase Extraction Process Optimization and Application to Nucleic Acid Purification

Contact Info

Product

Resources

About