Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

How RNA folds.

I Tinoco1, C Bustamante

  • 1Department of Chemistry, University of California Berkeley, Berkeley, CA 94720-1460, USA.

Journal of Molecular Biology
|November 5, 1999
PubMed
Summary
This summary is machine-generated.

Predicting RNA structure is simpler than protein folding due to RNA

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Is chemodenervation with incobotulinumtoxinA an alternative to invasive chronic anal fissure treatments?

BMC gastroenterology·2024
Same author

Effect of antenatal betamethasone administration on rat cerebellar expression of type la metabotropic glutamate receptors (mGluRla) and anxiety-like behavior in the elevated plus maze.

Clinical and experimental obstetrics & gynecology·2018
Same author

Can estimates of genetic effective population size contribute to fisheries stock assessments?

Journal of fish biology·2016
Same author

Reproductive biology and feeding habits of the prickly dogfish Oxynotus bruniensis.

Journal of fish biology·2016
Same author

A practical introduction to the hemodynamic analysis of the cardiovascular system with 4D Flow MRI.

Radiologia·2014
Same author

Not all fish are equal: functional biodiversity of cartilaginous fishes (Elasmobranchii and Holocephali) in Chile.

Journal of fish biology·2014
Same journal

Tesorai Search: cloud-based database search engine boosts identifications for mass spectrometry proteomics with a pretrained peptide-spectrum deep-learning model.

Journal of molecular biology·2026
Same journal

Characterization of diverse functions of NRF1 nuclear localization sequence.

Journal of molecular biology·2026
Same journal

UPF3A and UPF3B shape the transcriptome cooperatively yet oppose cell function.

Journal of molecular biology·2026
Same journal

Antibody-secreting cells integrate efficient NMD with non‑canonical UPR signaling to maintain proteostasis and support massive immunoglobulin synthesis.

Journal of molecular biology·2026
Same journal

Small molecule stabilization of diverse amyloidogenic immunoglobulin light chains revealed by hydrogen-deuterium exchange mass spectrometry.

Journal of molecular biology·2026
Same journal

UPF1 at Work: Structural and Mechanistic Insights Into a Master Regulator of Nonsense-Mediated mRNA Decay.

Journal of molecular biology·2026
See all related articles

Area of Science:

  • Biochemistry
  • Molecular Biology
  • Structural Biology

Background:

  • The RNA folding problem is less complex than protein folding because RNA has four similar monomer units, unlike proteins with 20 distinct residues.
  • RNA folding is hierarchical, with secondary structures being more stable than tertiary structures.
  • Magnesium ions (Mg2+) experimentally separate RNA's secondary and tertiary folding levels.

Purpose of the Study:

  • To outline a predictive algorithm for RNA structure based on its sequence.
  • To identify necessary data for solving the RNA folding problem.

Main Methods:

  • Predicting secondary structure using thermodynamic data on helices, loops, and bulges.
  • Incorporating tertiary interactions post-secondary structure prediction.

Related Experiment Videos

  • Utilizing experimental separation of secondary and tertiary folding via Mg2+.
  • Main Results:

    • Secondary RNA structure can be accurately predicted from thermodynamic data.
    • Tertiary interactions can be added to predicted secondary structures with minimal distortion.

    Conclusions:

    • A hierarchical folding algorithm for RNA structure prediction is proposed.
    • Further research requires thermodynamic data on tertiary interactions and metal-ion binding sites.
    • Force measurements on single RNA molecules are needed to refine the algorithm.