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 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

Protein and Protein Structure

Protein and Protein Structure

Proteins are one of the most abundant organic molecules in living systems and have the most diverse range of functions of all macromolecules. Proteins may be structural, regulatory, contractile, or protective. They may serve in transport, storage, or membranes; or they may be toxins or enzymes. Their structures, like their functions, vary greatly. They are all, however, amino acid polymers arranged in a linear sequence.
A protein's shape is critical to its function. For example, an enzyme...

Sequence Networks of Rotating Machines

Sequence Networks of Rotating Machines

A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...

Structural Protein Function

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...

Structural Protein Function

Structural Protein Function

You might also read

Related Articles

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

Sort by

Same author

Emergence of Escherichia coli Hybrid Pathotype ETEC/STEC: A Macroepidemiological Approach of Molecular Characterization in the United States Swine Population.

Transboundary and emerging diseases·2026

Same author

EC-Dock: A Fast Equivariant Consistency Model for Molecular Docking and Virtual Screening.

Journal of chemical information and modeling·2026

Same author

A framework for building a synthetic cell from the SynCell Asia Initiative.

Nature biotechnology·2026

Same author

AI-driven radiomics in vascular disease: a narrative review of image analysis and clinical translation.

Cardiovascular diagnosis and therapy·2026

Same author

Accurate prediction of oligonucleotide probe hybridization efficiency via a transformer-based model.

BMC genomics·2026

Same author

Impact of comorbidities and extra-musculoskeletal manifestations on radiographic progression in ankylosing spondylitis.

Rheumatology (Oxford, England)·2026

Same journal

Engineered HSP90-MP65 Bivalent Fusion Antigen: A Novel Vaccine Candidate Against Invasive Candidiasis.

Proteins·2026

Same journal

Physics-Based Energy Functions for Computational Protein Design.

Proteins·2026

Same journal

Impact of Stabilizing Osmolytes on the Conformational Dynamics of Human and Rat Islet Amyloid Polypeptides.

Proteins·2026

Same journal

Stabilization of Bone Morphogenetic Protein-2 at Physiological pH: Contrasting Roles of CHAPS and Arginine in Aggregation Inhibition.

Proteins·2026

Same journal

Structural Insights Into the Function of Leishmania major Adenylosuccinate Lyase.

Proteins·2026

Same journal

Generalizing the Gaussian Network Model: Spanning-Tree Thermodynamics Shows Entropy-Driven KRAS Activation.

Proteins·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Feb 13, 2026

Deep Neural Networks for Image-Based Dietary Assessment

Deep Neural Networks for Image-Based Dietary Assessment

Published on: March 13, 2021

SPIN2: Predicting sequence profiles from protein structures using deep neural networks.

James O'Connell¹, Zhixiu Li^2,3, Jack Hanson¹

¹Signal Processing Laboratory, Griffith University, Nathan, Australia.

|March 7, 2018

Summary

This summary is machine-generated.

SPIN2, a new protein design model, improves sequence recovery accuracy by 4% over its predecessor, SPIN. This advancement in predicting protein sequences from structures aids protein design and fold recognition.

Keywords:

bioinformatics deep learning fold recognition neural networks structure prediction

More Related Videos

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

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

Related Experiment Videos

Last Updated: Feb 13, 2026

Deep Neural Networks for Image-Based Dietary Assessment

Deep Neural Networks for Image-Based Dietary Assessment

Published on: March 13, 2021

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

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

Area of Science:

Computational biology
Protein engineering

Background:

The inverse protein-folding problem involves designing protein sequences for specific structures.
Current methods achieve limited accuracy in recovering wild-type sequences from native structures.

Purpose of the Study:

To improve sequence recovery accuracy for protein design using a novel deep learning model.
To enhance the capabilities of protein design and fold recognition techniques.

Main Methods:

Development of SPIN2, a deep neural network model incorporating additional structural features.
Utilizing fragment-based local and energy-based nonlocal profiles.
Evaluation through 10-fold cross-validation and independent tests.

Main Results:

SPIN2 achieved over 34% sequence recovery accuracy, a 4% improvement over the previous SPIN system.
Demonstrated enhanced performance in predicting sequences compatible with given protein structures.

Conclusions:

SPIN2 represents a significant advancement in the inverse protein-folding problem.
The generated sequence profiles offer potential for improving fold recognition and protein design methodologies.