Multiple native states reveal persistent ruggedness of an RNA folding landscape
- 1Department of Biochemistry, Stanford University, Stanford, California 94305, USA.
- 0Department of Biochemistry, Stanford University, Stanford, California 94305, USA.
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View abstract on PubMed
Summary
This summary is machine-generated.Biological macromolecules like RNA can fold into multiple distinct native states, challenging the traditional view of a single energy minimum. This ruggedness in RNA folding landscapes affects active conformations.
Area Of Science
- Biochemistry
- Molecular Biology
- Structural Biology
Background
- The thermodynamic hypothesis posits that a macromolecule's sequence dictates a unique native structure as the global energy minimum.
- Complex folding landscapes for large macromolecules raise questions about the existence of multiple stable, active conformations beyond a single global minimum.
- While some proteins follow two-state folding models, evidence suggests more complex landscapes with interconverting active states.
Purpose Of The Study
- To investigate the folding landscape topology of RNA enzymes using single-molecule experiments.
- To determine if RNA enzymes fold into multiple distinct native states.
- To assess the timescale of interconversion between these native states.
Main Methods
- Utilized single-molecule experiments to probe RNA folding dynamics.
- Analyzed the conformational landscape of an RNA enzyme.
Main Results
- Demonstrated that an RNA enzyme folds into multiple distinct native states.
- Showed that interconversion between these native states occurs on a timescale significantly longer than catalysis.
- Provided evidence for ruggedness in RNA folding landscapes extending to native conformational space.
Conclusions
- RNA folding landscapes are complex and rugged, extending into the conformational space of native states.
- The existence of multiple, slowly interconverting native states challenges simplified models of macromolecular folding.
- This finding has implications for understanding RNA function and evolution.
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