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

Concepts in protein folding.

D J Thomas1

  • 1European Molecular Biology Laboratory, Heidelberg, Germany.

FEBS Letters
|July 27, 1992
PubMed
Summary
This summary is machine-generated.

Theoretical physicists argue that a protein folding code is impossible. Perceived sequence-structure correlations may stem from limited data, and molecular dynamics may yield artefactual results, highlighting the need for accurate configurational entropy calculations.

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

Correction: The rapid-tome, a 3D-printed microtome, and an updated hand-sectioning method for high-quality plant sectioning.

Plant methods·2024
Same author

Analysis of EURADOS neutron intercomparison results according to new ISO standards criteria.

Radiation protection dosimetry·2023
Same author

ADDITIONAL CHARACTERISATION OF THE THERMAL NEUTRON PILE AT THE NATIONAL PHYSICAL LABORATORY, UK.

Radiation protection dosimetry·2017
Same author

3D bioprinting as a solution for engineering the nipple areola complex for breast cancer reconstruction.

International journal of surgery (London, England)·2017
Same author

EURADOS IC2012N: FURTHER INFORMATION DERIVED FROM AN EURADOS INTERNATIONAL COMPARISON OF NEUTRON PERSONAL DOSEMETERS.

Radiation protection dosimetry·2015
Same author

CORRECTIONS ASSOCIATED WITH ON-PHANTOM CALIBRATIONS OF NEUTRON PERSONAL DOSEMETERS.

Radiation protection dosimetry·2015
Same journal

Identification of a Shiga toxin A-derived peptide internalized into Gb3 receptor-bearing cells via interaction with the Shiga toxin B subunit.

FEBS letters·2026
Same journal

The dual role of lectins in cancer-immunotherapy tools and therapeutic targets.

FEBS letters·2026
Same journal

Decoding the dynamic extracellular matrix in cancer-3D models and bioscaffolds rewire the rules of tumor progression.

FEBS letters·2026
Same journal

Extending the classical sequence-structure-function paradigm through protein dynamics and context-dependent behavior.

FEBS letters·2026
Same journal

α-Synuclein aggregation landscape from phase separation to neurotoxic intermediates.

FEBS letters·2026
Same journal

Modelling stem cell differentiation related processes-A practical overview for biologists.

FEBS letters·2026
See all related articles

Area of Science:

  • Theoretical physics
  • Biophysics
  • Computational biology

Background:

  • Protein folding is a fundamental process in biology.
  • Understanding protein folding is crucial for drug discovery and disease research.
  • Current models and databases may contain inherent biases.

Purpose of the Study:

  • To critically evaluate current concepts and misconceptions in protein folding.
  • To propose a theoretical physics perspective on the protein folding problem.
  • To identify key areas for future research in protein folding.

Main Methods:

  • Theoretical analysis of protein folding principles.
  • Critique of existing computational approaches (e.g., molecular dynamics).
  • Discussion of data limitations and potential artefacts in sequence-structure correlations.

Related Experiment Videos

Main Results:

  • The existence of a 'protein folding code' is refuted.
  • Observed correlations between protein sequence/composition and structure are likely database artefacts.
  • Molecular dynamics simulations may produce artefactual results due to an unknown Hamiltonian energy function.

Conclusions:

  • Accurate calculation of configurational entropy is essential for understanding protein folding.
  • Future research should focus on robust theoretical frameworks beyond current database-driven or simulation-heavy approaches.
  • A deeper understanding of the fundamental physics governing protein folding is required.