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 Concept Videos

Protein Organization01:24

Protein Organization

Proteins are polymers of amino acid residues. They are versatile and responsible for different cellular functions, including DNA replication, molecular transport, catalysis, and structural support. Proteins have a hierarchical structure comprising at least three levels of organization: primary, secondary, and tertiary structure. Some large proteins have a quaternary structure where individual protein subunits are linked together.
The primary structure of a protein is its amino acid sequence.
Structural Protein Function01:56

Structural Protein Function

Structural proteins are a category of proteins responsible for functions ranging from cell shape and movement to providing support to major structures such as bones, cartilage, hair, and muscles. This group includes proteins such as collagen, actin, myosin, and keratin.
Collagen, the most abundant protein in mammals, is found throughout the body. In connective tissue, such as skin, ligaments, and tendons, it provides tensile strength and elasticity.  In bones and teeth, it mineralizes to form...
Structural Protein Function01:56

Structural Protein Function

Structural proteins are a category of proteins responsible for functions ranging from cell shape and movement to providing support to major structures such as bones, cartilage, hair, and muscles. This group includes proteins such as collagen, actin, myosin, and keratin.
Collagen, the most abundant protein in mammals, is found throughout the body. In connective tissue, such as skin, ligaments, and tendons, it provides tensile strength and elasticity.  In bones and teeth, it mineralizes to form...

You might also read

Related Articles

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

Sort by
Same author

Letter to Dr Maria Giulia Bellicini, MD, Brescia, in response to her letter to the editor of our published paper in ESC Heart Failure (online); Worse long-term outcomes in new-onset HFpEF vs HFrEF and HFmrEF: findings from the Stockholm PREFERS study.

ESC heart failure·2026
Same author

Worse long-term outcomes in new-onset HFpEF vs HFrEF and HFmrEF: findings from the Stockholm PREFERS study.

ESC heart failure·2026
Same author

Precision Omics Initiative Sweden (PROMISE) will integrate research with healthcare.

Nature medicine·2025
Same author

Baseline characteristics and 1-year outcome by left ventricular function in the CABG PREFERS.

European heart journal open·2025
Same author

Characteristics of gene expression in epicardial adipose tissue and subcutaneous adipose tissue in patients at risk for heart failure undergoing coronary artery bypass grafting.

BMC genomics·2024
Same author

ECCB2024: The 23rd European Conference on Computational Biology.

Bioinformatics (Oxford, England)·2024

Related Experiment Video

Updated: May 25, 2026

Identification and Classification of Position-specific GABAA Receptor Subunit Missense Variants for Their Role In Hippocampal Pyramidal Neurons
08:04

Identification and Classification of Position-specific GABAA Receptor Subunit Missense Variants for Their Role In Hippocampal Pyramidal Neurons

Published on: June 6, 2025

Investigating protein variants using structural calculation techniques.

Jonas Carlsson1, Bengt Persson

  • 1IFM Bioinformatics and SeRC (Swedish e-Science Research Centre), Linköping University, Linköping, Sweden.

Methods in Molecular Biology (Clifton, N.J.)
|February 11, 2012
PubMed
Summary

Understanding protein structure changes from sequence variations is crucial for disease research. Computational methods like energy minimization and molecular dynamics help predict mutation effects and disease mechanisms.

More Related Videos

In Vivo Functional Study of Disease-associated Rare Human Variants Using Drosophila
06:41

In Vivo Functional Study of Disease-associated Rare Human Variants Using Drosophila

Published on: August 20, 2019

Application of I TASSER, trRosetta, UCSF Chimera, HADDOCK server, and HEX loria for De Novo and In Silico Design of Proteins
05:08

Application of I TASSER, trRosetta, UCSF Chimera, HADDOCK server, and HEX loria for De Novo and In Silico Design of Proteins

Published on: July 8, 2025

Related Experiment Videos

Last Updated: May 25, 2026

Identification and Classification of Position-specific GABAA Receptor Subunit Missense Variants for Their Role In Hippocampal Pyramidal Neurons
08:04

Identification and Classification of Position-specific GABAA Receptor Subunit Missense Variants for Their Role In Hippocampal Pyramidal Neurons

Published on: June 6, 2025

In Vivo Functional Study of Disease-associated Rare Human Variants Using Drosophila
06:41

In Vivo Functional Study of Disease-associated Rare Human Variants Using Drosophila

Published on: August 20, 2019

Application of I TASSER, trRosetta, UCSF Chimera, HADDOCK server, and HEX loria for De Novo and In Silico Design of Proteins
05:08

Application of I TASSER, trRosetta, UCSF Chimera, HADDOCK server, and HEX loria for De Novo and In Silico Design of Proteins

Published on: July 8, 2025

Area of Science:

  • Computational biology
  • Structural bioinformatics
  • Molecular modeling

Background:

  • Sequence information alone is insufficient to understand disease mechanisms.
  • Knowledge of modified protein structures is essential for studying diseases caused by residue exchanges.

Purpose of the Study:

  • To describe structure calculation techniques for studying sequence variation effects.
  • To explain how computational methods can elucidate disease mechanisms caused by mutations.

Main Methods:

  • Energy minimization
  • Molecular dynamics simulations
  • Investigation of other protein properties
  • Mutation effect prediction methods

Main Results:

  • Computational techniques bridge the gap between sequence and structure.
  • Energy minimization and molecular dynamics reveal structural effects of sequence variation.
  • Combined analysis provides a comprehensive understanding of disease-causing mutations.

Conclusions:

  • Structure calculation techniques are vital for understanding disease-related mutations.
  • Predictive methods aid in evaluating mutation impacts and protein property interplay.
  • Computational approaches offer insights into molecular mechanisms of genetic diseases.