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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-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 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,...
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 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.
Amino acids03:42

Amino acids

Amino acids are the monomers that comprise proteins. Each amino acid has the same fundamental structure, which consists of a central carbon atom, or the alpha (α) carbon, bonded to an amino group (NH2), a carboxyl group (COOH), and to a hydrogen atom. Every amino acid also has another atom or group of atoms bonded to the central atom known as the R group. There are 20 common amino acids present in proteins, each with a different R group. Variation in the amino acid sequence is responsible for...

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Related Experiment Video

Updated: Jun 18, 2026

Computational Prediction of Amino Acid Preferences of Potentially Multispecific Peptide-Binding Domains Involved in Protein-Protein Interactions
06:50

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

Published on: January 26, 2024

Exploiting amino acid composition for predicting protein-protein interactions.

Sushmita Roy1, Diego Martinez, Harriett Platero

  • 1Sushmita Roy Computer Science, University of New Mexico, Albuquerque, New Mexico, United States of America. sroy@cs.unm.edu

Plos One
|November 26, 2009
PubMed
Summary

Amino acid composition (AAC) effectively predicts protein interactions, performing comparably to domain-based methods. This simple feature is applicable to all proteins, aiding in discovering novel interactions and assigning functions to uncharacterized proteins.

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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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Area of Science:

  • Computational biology
  • Bioinformatics
  • Proteomics

Background:

  • Protein interaction prediction commonly relies on protein domains.
  • Domain-based methods fail for proteins lacking domain information.
  • Amino acid composition (AAC) offers an alternative feature applicable to all proteins.

Purpose of the Study:

  • To evaluate the effectiveness of AAC for protein interaction prediction.
  • To determine if AAC can compensate for the lack of domain information.
  • To explore AAC's utility in identifying novel protein interactions.

Main Methods:

  • Utilized normalized counts of single and pairs of amino acids (AAC) as features.
  • Applied AAC to protein interaction prediction tasks on yeast, worm, and fly datasets.
  • Employed various classifiers to assess feature robustness.

Main Results:

  • AAC performed on par with domain-based methods across multiple datasets.
  • Results were consistent across different classifiers, highlighting feature effectiveness.
  • Predicted interactions for the yeast proteome revealed novel interactions, many co-localizing or sharing processes.
  • Identified putative biological roles for uncharacterized proteins based on their predicted interactions.

Conclusions:

  • AAC is a simple yet powerful feature for protein interaction prediction.
  • AAC can be used independently or combined with protein domains.
  • AAC alone matches the performance of more complex features, indicating predictive sequence-level information beyond domains.