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Related Concept Videos

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...
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...
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 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,...
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,...

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Related Experiment Video

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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

Human protein-protein interaction prediction by a novel sequence-based co-evolution method: co-evolutionary

Chia Hsin Liu1, Ker-Chau Li, Shinsheng Yuan

  • 1Institute of Statistical Science, Academia Sinica, Nangang, Taipei 115, Taiwan.

Bioinformatics (Oxford, England)
|October 20, 2012
PubMed
Summary

We developed a new computational method, co-evolutionary divergence (CD), to predict human protein-protein interactions (PPIs). The CD method significantly outperforms existing approaches, offering improved insights into gene function.

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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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16:02

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Protein-protein interactions (PPIs) are crucial for understanding gene function.
  • Existing computational PPI prediction methods require improvement, especially for large-scale proteomes.
  • Sequence-based co-evolution methods have shown promise but require further testing in complex organisms.

Purpose of the Study:

  • To propose a novel sequence-based co-evolution method for predicting human PPIs.
  • To evaluate the performance of the new method against existing techniques.
  • To provide a tool for enhanced understanding of human gene function through PPI prediction.

Main Methods:

  • Developed the co-evolutionary divergence (CD) method, a novel sequence-based approach.
  • Utilized evolutionary information from 14 vertebrate species.
  • Calculated likelihood ratios based on protein substitution rates to infer PPIs.

Main Results:

  • The CD method demonstrated superior performance compared to the mirror tree method.
  • Outperformed existing methods across three independent human PPI datasets.
  • The approach leverages evolutionary divergence for accurate PPI prediction.

Conclusions:

  • The CD method is a powerful new tool for human PPI prediction.
  • The method's performance can be further enhanced with increased genomic data.
  • This advancement aids in understanding complex biological systems and gene functions.