Rna Folding
Rna Folding - Related Videos
03:00
Molecular Chaperones and Protein Folding
0 Views •
2020
The native conformation of a protein is formed by interactions between the side chains of its constituent amino acids. When the amino acids cannot form these interactions, the protein cannot fold by itself and needs chaperones. Notably, chaperones do not relay any additional information required for the folding of polypeptides; the native conformation of a protein is determined solely by its amino acid sequence. Chaperones catalyze protein folding without being a part of the folded protein. The...
01:49
Protein Folding
0 Views •
2020
Proteins are chains of amino acids linked together by peptide bonds. Upon synthesis, a protein folds into a three-dimensional conformation which is critical to its biological function. Interactions between its constituent amino acids guide protein folding, and hence the protein structure is primarily dependent on its amino acid sequence.Protein Structure Is Critical to Its Biological FunctionProteins perform a wide range of biological functions such as catalyzing chemical reactions, providing...
01:49
Protein Folding
0 Views •
2026
Proteins are chains of amino acids linked together by peptide bonds. Upon synthesis, a protein folds into a three-dimensional conformation which is critical to its biological function. Interactions between its constituent amino acids guide protein folding, and hence the protein structure is primarily dependent on its amino acid sequence.Protein Structure Is Critical to Its Biological FunctionProteins perform a wide range of biological functions such as catalyzing chemical reactions, providing...
10:52
Visualization and Quantification of Intermolecular RNA Base Pairing in in vitro RNA Clusters Using Split Broccoli RNA Reporters
0 Views •
2026
This protocol describes a visual assay using split Broccoli RNA reporters to detect and quantify intermolecular base pairing in RNA clusters in vitro.
06:59
Nanomanipulation of Single RNA Molecules by Optical Tweezers
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Cited by 13 •
2014
Optical tweezers have been used to study RNA folding by stretching individual molecules from their 5’ and 3’ ends. Here common procedures are described to synthesize RNA molecules for tweezing, calibration of the instrument, and methods to manipulate single molecules.
FAQs
Sequence determines which bases can pair and where stems, loops, bulges, and tertiary contacts can form. Temperature and ions alter the stability of those interactions, so the same RNA may favor different conformations under different conditions. In bioengineering, controlling these variables helps researchers evaluate structural stability and identify conditions that support the intended activity of a designed RNA.
Noncanonical interactions, meaning base contacts outside standard pairing patterns, help connect distant parts of an RNA molecule and stabilize its three-dimensional organization. They can reinforce tertiary contacts beyond the initial stem and loop framework. Accounting for these interactions is important when linking a sequence to the structure and function of engineered aptamers, riboswitches, guide RNAs, or therapeutics.
An RNA sequence can support more than one base-pairing arrangement, creating competing conformations with different structural features and stabilities. Such alternatives may produce functional or nonfunctional states, while misfolding can interfere with the intended activity. Comparing possible structures allows bioengineers to recognize unstable or competing designs and refine sequences before applying them in sensing, regulation, or gene-editing systems.
Computational structure prediction proposes possible conformations from an RNA sequence, whereas experimental probing provides evidence about the structures formed under selected conditions. Using both approaches helps researchers compare predicted and observed arrangements, examine competing conformations, and detect misfolding. This combined strategy supports more reliable optimization of synthetic RNA than relying on sequence design or prediction alone.
A basic workflow begins by selecting or modifying a sequence for the intended function, then considering its possible structural arrangements and the effects of temperature, ions, and surrounding molecules. Computational prediction can identify candidate conformations, followed by experimental probing to assess the RNA in practice. The resulting evidence guides sequence refinement for improved stability or activity.
RNA folding is central to designs whose activity depends on a particular structure, including riboswitches, aptamers, guide RNAs, and RNA-based therapeutics. Structural analysis helps connect sequence changes with sensing, regulation, gene editing, or treatment-related performance. By identifying favorable conformations and potential misfolding, researchers can optimize synthetic RNAs for the function required in each biotechnology application.