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Related Concept Videos

Protein-protein Interfaces02:04

Protein-protein Interfaces

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 polypeptide...
Protein Families02:47

Protein Families

Protein families are groups of homologous proteins; that is, they have similarities in amino acid sequences and three-dimensional structures. Protein families usually occur because of gene duplication, where an additional copy of a gene is inserted into the genome of an organism.   Mutations that change the amino acids but still allow the protein to be properly synthesized, will lead to new protein family members.   If these new proteins contain similar amino acids in key locations, protein...
Protein Networks02:26

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,...
Conservation of Protein Domains Over Different Proteins02:26

Conservation of Protein Domains Over Different Proteins

Protein domains are small structurally independent units that are part of a single amino acid chain.  Although these domains are often structurally independent, they may rely on synergistic effects to perform their functions as part of a larger protein. Protein domains may be conserved within the same organism, as well as across different organisms.
A limited set of protein domains often duplicate and recombine during evolution. These domains can be organized in different combinations to form...
Conserved Binding Sites01:49

Conserved Binding Sites

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 analyses the...
Protein Folding01:25

Protein Folding

Proteins are chains of amino acids linked together by peptide bonds. Upon synthesis, a protein folds into a three-dimensional conformation, critical to its biological function. Interactions between its constituent amino acids guide protein folding, and hence the protein structure is primarily dependent on its amino acid sequence.
Protein Structure Is Critical to Its Biological Function
Proteins perform a wide range of biological functions such as catalyzing chemical reactions, providing...

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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

An iterative approach of protein function prediction.

Xiaoxiao Chi1, Jingyu Hou

  • 1School of Information Technology, Deakin University, Melbourne, Australia.

BMC Bioinformatics
|November 15, 2011
PubMed
Summary

This study introduces an iterative protein function prediction method that accounts for the dynamic nature of protein-protein interactions. The new approach improves prediction accuracy by considering mutual influences between protein functions.

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Computational Prediction of Amino Acid Preferences of Potentially Multispecific Peptide-Binding Domains Involved in Protein-Protein Interactions
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Computational Prediction of Amino Acid Preferences of Potentially Multispecific Peptide-Binding Domains Involved in Protein-Protein Interactions

Published on: January 26, 2024

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Systems Biology

Background:

  • Existing protein function prediction methods assume a one-way flow of information from annotated to un-annotated proteins.
  • These methods fail to account for the dynamic and mutual nature of protein-protein interactions (PPIs).
  • The iterative nature of protein function prediction, where newly predicted functions influence subsequent predictions, has been overlooked.

Purpose of the Study:

  • To develop a novel iterative approach for protein function prediction.
  • To incorporate the dynamic and mutual features of PPIs into prediction models.
  • To address the limitations of existing mono-directed and one-off prediction algorithms.

Main Methods:

  • Proposed a new iterative prediction approach for protein functions.
  • Developed a novel method for calculating protein similarity based on protein functions.
  • Introduced new evaluation metrics to assess prediction quality.
  • Conducted experiments on real-world PPI datasets.

Main Results:

  • The iterative approach effectively incorporates dynamic and mutual PPI features.
  • The new protein similarity measure is crucial for iterative function prediction.
  • Experimental results demonstrate superior performance of the iterative method over non-iterative approaches.
  • The proposed algorithm achieved higher prediction precision, recall, and F-value.

Conclusions:

  • The iterative approach better reflects the biological reality of protein interactions.
  • Accurate definition of protein similarity from functions is essential for iterative prediction.
  • The novel iterative method offers improved accuracy for predicting unknown protein functions.