Dynamic combinatorial chemistry as a rapid method for discovering sequence-selective RNA-binding compounds.

Area of Science:

• Molecular Biology
• Medicinal Chemistry
• Chemical Biology

Background:

• An increasing number of RNA species are implicated in human diseases.
• There is a growing need for novel molecular probes and therapeutics targeting these RNAs.
• Developing sequence-selective RNA-binding molecules presents a significant challenge.

Purpose of the Study:

• To describe methods for designing, synthesizing, and screening dynamic combinatorial libraries.
• To target disease-relevant RNA molecules using these libraries.
• To overcome the challenge of producing high-affinity and specific RNA-binding molecules.

Main Methods:

• Utilizing dynamic combinatorial chemistry (DCC), a fragment-based approach.
• Employing reversible fragment combination in the presence of the target RNA.
• Developing libraries specifically designed for RNA targets.

Main Results:

• Demonstrated a successful approach for generating sequence-selective RNA-binding molecules.
• Achieved high affinity and specificity for disease-relevant RNA targets.
• Established methods for library design, synthesis, and screening.

Conclusions:

• Dynamic combinatorial chemistry is an effective strategy for developing RNA-targeting molecules.
• This approach facilitates the creation of novel molecular probes and therapeutics for RNA-related diseases.
• The described methods advance the field of RNA-targeted drug discovery.