Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Protein Organization

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.

Protein Organization

Protein Organization

Protein Organization

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.

Protein Organization

Protein Organization

Protein Networks

Protein Networks

An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...

Protein Networks

Protein Networks

An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...

You might also read

Related Articles

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

Sort by

Same author

Nomogram for predicting postoperative temporomandibular joint degeneration after mandibulectomy for oral cavity cancer: a study on patients using CT and MRI data.

International journal of oral and maxillofacial surgery·2024

Same author

A re-evaluation of the D-dimer cut-off value for making a diagnosis according to the ISTH overt-DIC diagnostic criteria: communication from the SSC of the ISTH.

Journal of thrombosis and haemostasis : JTH·2018

Same author

Laboratory evidence of disseminated intravascular coagulation is associated with a fatal outcome in children with cerebral malaria despite an absence of clinically evident thrombosis or bleeding.

Journal of thrombosis and haemostasis : JTH·2015

Same author

Differentiating Components of Cerebral Arteriovenous Malformations Using T1-Weighted Gradient Recall Echo MR Imaging.

The neuroradiology journal·2013

Same author

Harmonized guidance for disseminated intravascular coagulation from the International Society on Thrombosis and Haemostasis and the current status of anticoagulant therapy in Japan: a rebuttal.

Journal of thrombosis and haemostasis : JTH·2013

Same author

Cerebral diffusion tensor MR tractography in tuberous sclerosis complex: correlation with neurologic severity and tract-based spatial statistical analysis.

AJNR. American journal of neuroradiology·2013

Same journal

Screen for Footprints of Selection during Domestication/Captive Breeding of Atlantic Salmon.

Comparative and functional genomics·2013

Same journal

Gemi: PCR primers prediction from multiple alignments.

Comparative and functional genomics·2013

Same journal

TnpPred: A Web Service for the Robust Prediction of Prokaryotic Transposases.

Comparative and functional genomics·2012

Same journal

The α(1)AT and TIMP-1 Gene Polymorphism in the Development of Asthma.

Comparative and functional genomics·2012

Same journal

Comparative Analysis of MicroRNAs between Sporophyte and Gametophyte of Porphyra yezoensis.

Comparative and functional genomics·2012

Same journal

Correlation of aquaporins and transmembrane solute transporters revealed by genome-wide analysis in developing maize leaf.

Comparative and functional genomics·2012

See all related articles

Search research articles

Related Experiment Video

Updated: Jul 3, 2026

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

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

Computational aspects of protein functionality.

R C Paton¹, C-H Toh

¹Department of Computer Science, University of Liverpool, Liverpool L69 3BX, UK. r.c.paton@csc.liv.ac.uk

Comparative and Functional Genomics

|July 17, 2008

Summary

This summary is machine-generated.

This study explores protein functionality using computational modeling and lexical analysis. It examines the computational metaphor in relation to protein multifunctionality, using von Willebrand factor as an example.

More Related Videos

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues

Published on: July 14, 2015

A Protocol for Computer-Based Protein Structure and Function Prediction

A Protocol for Computer-Based Protein Structure and Function Prediction

Published on: November 3, 2011

Related Experiment Videos

Last Updated: Jul 3, 2026

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

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

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues

Published on: July 14, 2015

A Protocol for Computer-Based Protein Structure and Function Prediction

A Protocol for Computer-Based Protein Structure and Function Prediction

Published on: November 3, 2011

Area of Science:

Computational biology
Biochemistry
Bioinformatics

Background:

Understanding protein functionality is crucial for modeling biological systems.
The computational metaphor offers a framework for analyzing complex biological processes.
Multifunctional proteins present unique challenges in biological modeling.

Purpose of the Study:

To examine protein functionality from a computational perspective.
To explore the relationship between lexical dimensions and protein function.
To discuss the computational metaphor in the context of protein multifunctionality.

Main Methods:

Lexical analysis of protein function descriptions.
Conceptual exploration of the computational metaphor.
Case study analysis of von Willebrand factor.

Main Results:

Identified key organizing ideas related to protein functionality.
Demonstrated the relevance of the computational metaphor to protein multifunctionality.
Highlighted von Willebrand factor as a model for 'smart' multifunctional proteins.

Conclusions:

Protein functionality can be effectively analyzed through computational and lexical approaches.
The computational metaphor provides valuable insights into protein behavior.
Diagrammatic techniques can enhance the articulation of protein function.