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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,...
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...
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...
Ligand Binding Sites02:40

Ligand Binding Sites

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...

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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

PRED_PPI: a server for predicting protein-protein interactions based on sequence data with probability assignment.

Yanzhi Guo1, Menglong Li, Xuemei Pu

  • 1College of Chemistry, Sichuan University, Chengdu 610064, PR China. liml@scu.edu.cn.

BMC Research Notes
|May 27, 2010
PubMed
Summary
This summary is machine-generated.

A new computational tool predicts protein-protein interactions (PPIs) across five species with high accuracy. This system provides probability estimates, enabling confident identification of novel PPIs crucial for cellular 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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Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues
07:08

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues

Published on: July 14, 2015

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Molecular Biology

Background:

  • Protein-protein interactions (PPIs) are fundamental to cellular processes like metabolism, DNA replication, and signaling.
  • Experimental methods for PPI detection are costly and time-intensive.
  • Computational approaches are significant for efficient PPI identification.

Purpose of the Study:

  • To develop a comprehensive computational system for predicting PPIs.
  • To predict PPIs across multiple species, including humans, yeast, Drosophila, E. coli, and C. elegans.
  • To incorporate probability estimations for assessing prediction confidence.

Main Methods:

  • Utilized a support vector machine (SVM) algorithm.
  • Developed a prediction system for PPIs in five model organisms.
  • Implemented probability assignment for SVM predictions.

Main Results:

  • Achieved high average accuracies: 90.67% (humans), 88.99% (yeast), 90.09% (Drosophila), 92.73% (E. coli), and 97.51% (C. elegans).
  • Over 80% of correctly predicted PPIs had a high probability (>0.8).
  • The system provides probability estimates for each prediction.

Conclusions:

  • A web-based system, Pred_PPI, was developed for predicting PPIs.
  • Users can predict novel PPIs and obtain associated probability values.
  • Pred_PPI is freely accessible for research purposes.