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Updated: Dec 25, 2025

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Published on: December 6, 2017
PNA-Based Dynamic Combinatorial Libraries (PDCL) and screening of lectins.
Lluc Farrera-Soler1, Jean-Pierre Daguer1, Patrick Raunft1
1Department of Organic Chemistry, National Centre of Competence in Research (NCCR) in Chemical Biology, Faculty of Science, University of Geneva, 1211 Geneva, Switzerland.
This study introduces a novel supramolecular approach using PNA tags for dynamic combinatorial libraries (DCL). This method enhances ligand discovery for proteins, achieving a 95 nM affinity for a fungal lectin.
Area of Science:
- Biochemistry
- Chemical Biology
- Drug Discovery
Background:
- Dynamic combinatorial libraries (DCL) offer dynamic molecular assembly for ligand discovery.
- Current DCL methods using reversible covalent interactions face limitations in biomedical applications due to exchange reversibility and analytical challenges.
- Small molecule fragment deconvolution in DCL is analytically challenging.
Purpose of the Study:
- To develop a supramolecular approach for DCL using a constant PNA tag to direct fragment pairing.
- To overcome limitations of traditional DCL methods in drug discovery and biomedical research.
- To improve analytical deconvolution and achieve higher affinity ligand discovery.
Main Methods:
- Utilized a constant short PNA tag to direct combinatorial pairing of fragments.
- Employed fast exchange kinetics and cooperativity for library assembly.
- Applied matrix-assisted laser desorption/ionization (MALDI) for analytical deconvolution.
- Screened over 6,000 glycan assemblies targeting AFL, a lectin from pathogenic fungus.
Main Results:
- Achieved a 95 nM affinity for a glycan assembly targeting AFL.
- Demonstrated nearly three orders of magnitude improvement in affinity compared to the glycan alone (41 µM).
- The PNA tag facilitated efficient library selection and deconvolution.
Conclusions:
- The supramolecular PNA-tagged DCL approach enhances ligand discovery for protein targets.
- This method offers improved affinity and analytical tractability over traditional DCL techniques.
- The technology shows promise for drug discovery and biomedical research applications.
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