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

Protein structure prediction

D R Westhead1, J M Thornton

  • 1The European Bioinformatics Institute EMBL Outstation Wellcome Trust Genome Campus Hinxton, Cambridge, CB10 1SD, UK. westhead@ebi.ac.uk

Current Opinion in Biotechnology
|September 30, 1998
PubMed
Summary
This summary is machine-generated.

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

Large-scale annotation of biochemically relevant pockets and tunnels in cognate enzyme-ligand complexes.

Journal of cheminformatics·2024
Same author

Resolvin D2 promotes host defense in a 2 - hit model of sepsis with secondary lung infection.

Prostaglandins & other lipid mediators·2022
Same author

Lipoxin A4 promotes reduction and antibiotic efficacy against Pseudomonas aeruginosa biofilm.

Prostaglandins & other lipid mediators·2020
Same author

Clinical management of Brucella suis infection in dogs and implications for public health.

Australian veterinary journal·2017
Same author

Modeling birds on wires.

Journal of theoretical biology·2016
Same author

Depletion of RUNX1/ETO in t(8;21) AML cells leads to genome-wide changes in chromatin structure and transcription factor binding.

Leukemia·2012
Same journal

Microbial C1 assimilation pathways for chemical synthesis: from native metabolism to synthetic design.

Current opinion in biotechnology·2026
Same journal

Medicinal plants fermentation: current knowledge and perspectives.

Current opinion in biotechnology·2026
Same journal

Fermented foods: lessons learned from metagenomics.

Current opinion in biotechnology·2026
Same journal

Microfluidic platforms for the transient transfection of mammalian cells: recent developments and challenges.

Current opinion in biotechnology·2026
Same journal

Harvesting insights from recent advances in yeast genomics for predictable and precision wine fermentation.

Current opinion in biotechnology·2026
Same journal

Minimal enzyme cascades for the aromatic-to-aromatic upgrading of lignin monomers.

Current opinion in biotechnology·2026
See all related articles

Advances in protein structure prediction methods, including secondary structure prediction and comparative modeling, aid in understanding new protein sequences from genome projects. These improvements enhance fold recognition and the accuracy of 3D structural models.

Area of Science:

  • Structural bioinformatics
  • Computational biology
  • Genomics

Background:

  • Genome sequencing yields numerous protein sequences requiring structural characterization.
  • Protein structure prediction is crucial for functional annotation and understanding biological processes.

Purpose of the Study:

  • To review recent advancements in protein structure prediction methodologies.
  • To highlight the impact of these methods on fold recognition and comparative modeling accuracy.

Main Methods:

  • Review of recent developments in secondary structure prediction algorithms.
  • Analysis of improvements in fold recognition techniques.
  • Evaluation of technical enhancements in comparative modeling.

Main Results:

Related Experiment Videos

  • Progress in secondary structure prediction directly benefits fold recognition.
  • Technical improvements enhance the reliability of comparative modeling.
  • Studies assess the accuracy of predicted three-dimensional protein structures.

Conclusions:

  • Protein structure prediction methods are vital for interpreting genomic data.
  • Continued advancements improve the accuracy and utility of predicted protein models.
  • These tools are essential for structural biology and drug discovery.