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Updated: Jul 3, 2026

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Sequence-specific and Selective Recognition of Double-stranded RNAs over Single-stranded RNAs by Chemically Modified Peptide Nucleic Acids
Published on: September 21, 2017
Nucleic acids for recognition and catalysis: landmarks, limitations, and looking to the future
1Laboratoire de Biophysique, Museum National dHistoire Naturelle, 43 rue Cuvier, Paris, 75005, France.
Combinatorial Chemistry & High Throughput Screening
|July 21, 2000
Summary
Combinatorial selection of nucleic acids enables discovery of novel ligands and catalysts for chemistry and medicine. This high-throughput method uses polymerase chain reaction (PCR) for efficient amplification and sequencing of active molecules.
Area of Science:
- Biochemistry
- Molecular Biology
- Medicinal Chemistry
Background:
- Combinatorial selection of nucleic acids yields novel ligands and catalysts.
- Nucleic acid libraries can contain up to 10^15 molecules with diverse binding and catalytic properties.
- Intrinsic coding allows sequential composition to directly determine molecular activity.
Purpose of the Study:
- To review the concepts and applications of combinatorial nucleic acid selection.
- To explore the potential for discovering tight-binding ligands and therapeutic agents.
- To compare nucleic acid and antibody selection methods and discuss limitations in catalyst discovery.
Main Methods:
- Degenerate synthesis of large nucleic acid libraries.
- Iterative selection and amplification using polymerase chain reaction (PCR).
- Chemi-enzymatic regeneration of selected activities.
- Standard sequencing techniques for determining molecular composition.
Main Results:
- Identification of nucleic acid molecules with specific binding or catalytic functions.
- High-throughput screening enabling parallel sampling of molecular activities.
- Efficient enrichment and regeneration of desired molecular functions.
Conclusions:
- Combinatorial nucleic acid selection is a powerful, high-throughput approach for discovering functional molecules.
- This method has significant implications for drug discovery, catalysis, and structural biology.
- Future directions include addressing limitations in catalyst discovery and exploring new applications.
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