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 tertiary structure prediction.

D Xu1, Y Xu

  • 1Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA.

Current Protocols in Protein Science
|April 23, 2008
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

A green triple biocide cocktail consisting of a biocide, EDDS and methanol for the mitigation of planktonic and sessile sulfate-reducing bacteria.

World journal of microbiology & biotechnology·2012
Same author

A synergistic D-tyrosine and tetrakis hydroxymethyl phosphonium sulfate biocide combination for the mitigation of an SRB biofilm.

World journal of microbiology & biotechnology·2012
Same author

D-amino acids for the enhancement of a binary biocide cocktail consisting of THPS and EDDS against an SRB biofilm.

World journal of microbiology & biotechnology·2012
Same author

Interleukin-33 amplifies IgE synthesis and triggers mast cell degranulation via interleukin-4 in naïve mice.

Allergy·2012
Same author

Search for scalar bottom quark pair production with the ATLAS detector in pp collisions at sqrt[s]=7  TeV.

Physical review letters·2012
Same author

Therapeutic hypothermia for neonatal encephalopathy results in improved microstructure and metabolism in the deep gray nuclei.

AJNR. American journal of neuroradiology·2012
Same journal

De Novo Protein Design Using the Blueprint Builder in Rosetta.

Current protocols in protein science·2020
Same journal

Methods for Expression of Recombinant Proteins Using a Pichia pastoris Cell-Free System.

Current protocols in protein science·2020
Same journal

Histone Purification Combined with High-Resolution Mass Spectrometry to Examine Histone Post-Translational Modifications and Histone Variants in Caenorhabditis elegans.

Current protocols in protein science·2020
Same journal

A Rapid and Facile Purification Method for Glycan-Binding Proteins and Glycoproteins.

Current protocols in protein science·2020
Same journal

Synthesis of Recombinant Human Hemoglobin With NH<sub>2</sub> -Terminal Acetylation in Escherichia coli.

Current protocols in protein science·2020
Same journal

A Fluorescence-Based Assay to Monitor SUMOylation in Real-Time.

Current protocols in protein science·2020
See all related articles

Predicting protein tertiary structure from amino acid sequences is achievable using computational methods. This unit introduces three key techniques: homology modeling, fold recognition, and ab initio prediction for protein structure prediction.

Area of Science:

  • Biochemistry
  • Computational Biology
  • Structural Biology

Background:

  • Determining a protein's three-dimensional (tertiary) structure is crucial for understanding its function.
  • Experimental methods for structure determination can be time-consuming and costly.
  • Advances in computational power enable in silico approaches to protein structure prediction.

Purpose of the Study:

  • To provide an overview of computational methods for predicting protein tertiary structure.
  • To introduce key techniques used in bioinformatics for structure prediction.
  • To explain the principles behind homology modeling, fold recognition, and ab initio prediction.

Main Methods:

  • Homology modeling: Utilizes known protein structures with similar sequences.

Related Experiment Videos

  • Fold recognition: Identifies proteins with similar folds, even with low sequence identity.
  • Ab initio prediction: Predicts structure from sequence alone, without templates.

    • Main Results:

    • Computational methods offer viable alternatives for protein structure prediction.
    • Each method has specific strengths and limitations depending on the available data and sequence similarity.
    • Successful prediction relies on choosing the appropriate method for the given protein sequence.

    Conclusions:

    • Computational protein structure prediction is an essential tool in modern biology.
    • Understanding these prediction methods aids in biological research and drug discovery.
    • Further development of these techniques will enhance our ability to study protein function and design novel proteins.