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 Networks02:26

Protein Networks

4.6K
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,...
4.6K
Protein Networks02:26

Protein Networks

2.9K
2.9K
Protein-protein Interfaces02:04

Protein-protein Interfaces

14.9K
Many proteins form complexes to carry out their functions, making protein-protein interactions (PPIs) essential for an organism's survival. Most PPIs are stabilized by numerous weak noncovalent chemical forces. The physical shape of the interfaces determines the way two proteins interact. Many globular proteins have closely-matching shapes on their surfaces, which form a large number of weak bonds. Additionally, many PPIs occur between two helices or between a surface cleft and a...
14.9K
Protein-Protein Interfaces02:04

Protein-Protein Interfaces

4.5K
4.5K
Conserved Binding Sites01:49

Conserved Binding Sites

5.2K
Many proteins’ biological role depends on their interactions with their ligands, small molecules that bind to specific locations on the protein known as ligand-binding sites. Ligand-binding sites are often conserved among homologous proteins as these sites are critical for protein function.
Binding sites are often located in large pockets, and if their location on a protein’s surface is unknown, it can be predicted using various approaches. The energetic method computationally...
5.2K
Ligand Binding Sites02:40

Ligand Binding Sites

15.4K
Proteins are dynamic macromolecules that carry out a wide variety of essential processes; however, the activities of most proteins depend on their interactions with other molecules or ions, known as ligands.
Protein-ligand interactions are quite specific; even though numerous potential ligands surround a cellular protein at any given time, only a particular ligand can bind to that protein. Moreover, a ligand binds only to a dedicated area on the surface of the protein, known as the...
15.4K

You might also read

Related Articles

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

Sort by
Same author

IIC-DTI: A Contrastive Learning Enhanced Inter-Intra Molecular Fusing Framework for Drug-Target Interaction Prediction.

Interdisciplinary sciences, computational life sciences·2026
Same author

Graph convolution network based on meta-paths and mutual information for drug-target interaction prediction.

BMC bioinformatics·2025
Same author

The study of the variation of mineral distribution and relative concentration on varieties of oat using synchrotron-based X-ray fluorescence imaging.

Food research international (Ottawa, Ont.)·2025
Same author

Predicting miRNA-Drug Interactions Based on Multi-source Feature Fusion of Heterogeneous Network.

Interdisciplinary sciences, computational life sciences·2025
Same author

Low-Count PET Image Reconstruction With Generalized Sparsity Priors via Unrolled Deep Networks.

IEEE journal of biomedical and health informatics·2025
Same author

DA-HGL: a domain-augmented heterogeneous graph learning framework for protein function prediction.

Briefings in bioinformatics·2025

Related Experiment Video

Updated: Mar 3, 2026

Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions
06:50

Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions

Published on: January 26, 2024

2.6K

Computational Methods to Predict Protein Functions from Protein-Protein Interaction Networks.

Bihai Zhao1, Jianxin Wang2, Fang-Xiang Wu3

  • 1Department of Mathematics and Computer Science, Changsha University, Changsha, 410022. China.

Current Protein & Peptide Science
|May 6, 2017
PubMed
Summary

Computational methods offer a scalable solution for predicting protein functions, overcoming the limitations of expensive experimental techniques. This survey details current computational approaches for protein function prediction.

Keywords:
Protein-protein interactionfrequent patternfunctional similarity.heterogeneous data fusionneural networkprotein function predictionsupport vector machine

More Related Videos

Genome-wide Protein-protein Interaction Screening by Protein-fragment Complementation Assay PCA in Living Cells
08:38

Genome-wide Protein-protein Interaction Screening by Protein-fragment Complementation Assay PCA in Living Cells

Published on: March 3, 2015

14.0K
A Protocol for Computer-Based Protein Structure and Function Prediction
16:41

A Protocol for Computer-Based Protein Structure and Function Prediction

Published on: November 3, 2011

70.0K

Related Experiment Videos

Last Updated: Mar 3, 2026

Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions
06:50

Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions

Published on: January 26, 2024

2.6K
Genome-wide Protein-protein Interaction Screening by Protein-fragment Complementation Assay PCA in Living Cells
08:38

Genome-wide Protein-protein Interaction Screening by Protein-fragment Complementation Assay PCA in Living Cells

Published on: March 3, 2015

14.0K
A Protocol for Computer-Based Protein Structure and Function Prediction
16:41

A Protocol for Computer-Based Protein Structure and Function Prediction

Published on: November 3, 2011

70.0K

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Protein function prediction is crucial in the post-genomic era.
  • Experimental methods are costly and cannot handle large datasets.
  • Computational approaches are needed to address these limitations.

Purpose of the Study:

  • To provide a comprehensive survey of computational protein function prediction techniques.
  • To categorize and explain current methods.
  • To identify future research directions.

Main Methods:

  • Formal description of protein function prediction.
  • Evaluation metrics for prediction methods.
  • Categorization into supervised and unsupervised learning approaches.

Main Results:

  • Overview of diverse computational strategies for protein function prediction.
  • Discussion of the strengths and weaknesses of different methods.
  • Identification of key challenges in the field.

Conclusions:

  • Computational methods are essential for large-scale protein function prediction.
  • Supervised and unsupervised learning offer distinct pathways.
  • Further research is needed to address existing challenges and improve accuracy.