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Published on: August 16, 2019
Rational design of affinity ligands for bioseparation
Manuel J B Matos1, Ana S Pina1, A C A Roque1
1UCIBIO, Chemistry Department, School of Sciences and Technology, NOVA University of Lisbon, 2829-516 Caparica, Portugal.
This review covers the evolution of affinity ligands for protein purification, highlighting rational design techniques. It emphasizes adapting methodologies for modern bioseparation needs and leveraging big data and AI for future ligand development.
Area of Science:
- Biochemistry and Molecular Biology
- Bioseparation Technologies
- Affinity Chromatography
Background:
- Affinity adsorbents are crucial for protein purification, utilizing specific molecular recognition between ligands and targets.
- The bioseparation industry relies heavily on affinity chromatography, with numerous adsorbents available.
- Ligand discovery is central to engineering novel affinity adsorbents with enhanced functionality.
Purpose of the Study:
- To provide an overview of affinity ligand development for bioseparation.
- To trace the evolution of rational design techniques in ligand discovery.
- To discuss current and future trends in affinity ligand engineering.
Main Methods:
- Review of historical and current rational design techniques for affinity ligand discovery.
- Analysis of the impact of big data and artificial intelligence on ligand development.
- Examination of evolving methodologies to meet the demands of modern bioprocessing.
Main Results:
- Affinity chromatography is a cornerstone of protein purification due to selective molecular recognition.
- Rational design is fundamental for engineering affinity ligands with improved stability and selectivity.
- Methodologies must evolve to accommodate the growing diversity of biologics and advanced analytical tools.
Conclusions:
- Affinity ligand development is critical for efficient bioseparation and protein purification.
- Future advancements will likely integrate big data and AI into rational design strategies.
- Adapting ligand design methodologies is essential for addressing the increasing complexity of biopharmaceuticals.
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