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Related Concept Videos

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,...
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...
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...

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Related Experiment Video

Updated: Jul 13, 2026

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

Protein-protein interaction hotspots carved into sequences.

Yanay Ofran1, Burkhard Rost

  • 1Department of Biochemistry and Molecular Biophysics, Columbia University, New York, New York, USA. yo135@columbia.edu

Plos Computational Biology
|July 17, 2007
PubMed
Summary

We developed a new method to predict protein-protein interaction hotspots directly from a single protein sequence. This advancement aids in understanding biological mechanisms and facilitates drug development.

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Last Updated: Jul 13, 2026

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues
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Published on: July 14, 2015

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Published on: November 18, 2014

Investigating Protein Sequence-structure-dynamics Relationships with Bio3D-web
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Investigating Protein Sequence-structure-dynamics Relationships with Bio3D-web

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Area of Science:

  • Molecular Biology
  • Bioinformatics
  • Structural Biology

Background:

  • Protein-protein interactions are crucial for biological processes but their underlying mechanisms are not fully understood.
  • Identifying essential residues, or 'hotspots,' at protein interfaces is key, as they significantly impact interaction binding.
  • Current in silico tools often predict all interface residues, not specifically hotspots, and only a small fraction of actual interface residues are successfully identified.

Purpose of the Study:

  • To test the hypothesis that existing in silico prediction methods for protein-protein interfaces preferentially identify hotspots.
  • To develop a method for predicting interaction hotspots from the sequence of a single protein, without needing its binding partner.

Main Methods:

  • Analysis of existing in silico prediction methods for protein-protein interfaces.
  • Development and validation of a novel sequence-based prediction method for identifying interaction hotspots.

Main Results:

  • Demonstrated that in silico methods indeed preferentially predict hotspots, explaining their low success rate in identifying all interface residues.
  • Successfully developed a method to predict interaction hotspots directly from a single protein's sequence.
  • Findings suggest that protein complexes are stabilized by common fundamental principles.

Conclusions:

  • The ability to predict protein-protein interaction hotspots from sequence alone is now feasible.
  • This advancement enables large-scale analysis of interaction hotspots across organisms, potentially improving protein function prediction and drug development.
  • A prediction server is available at http://www.rostlab.org/services/isis.