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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...
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...
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.
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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.
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Intrinsically disordered proteins are a group of proteins that do not fold into specific three-dimensional structures. Their structural flexibility allows them to complement ordered proteins to perform functions that are inaccessible to rigid structures. They are more common in eukaryotes than prokaryotes and may either be exclusively intrinsically disordered or hybrid proteins, consisting of a mix of ordered and disordered regions. The absence of a rigid structure in these proteins can be...

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Related Experiment Video

Updated: Jul 2, 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

Predicting PDZ domain-peptide interactions from primary sequences.

Jiunn R Chen1, Bryan H Chang, John E Allen

  • 1Department of Molecular and Cellular Biology, Harvard University, 12 Oxford Street, Cambridge, Massachusetts 02138, USA.

Nature Biotechnology
|August 20, 2008
PubMed
Summary
This summary is machine-generated.

This study developed a predictive model for PDZ domain interactions, accurately forecasting peptide binding affinities. The model successfully generalizes across species, offering insights into protein-protein interactions.

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

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Area of Science:

  • Molecular Biology
  • Bioinformatics
  • Protein Interactions

Background:

  • PDZ domains are a large family of protein interaction domains.
  • They play a crucial role in molecular recognition by binding to C-terminal peptides.
  • Understanding PDZ domain binding specificity is vital for deciphering cellular signaling pathways.

Purpose of the Study:

  • To develop a computational model for predicting PDZ domain-peptide binding.
  • To capture the binding selectivity across the diverse PDZ domain family.
  • To analyze the impact of mutations on binding affinity.

Main Methods:

  • Utilized Bayesian estimation to create a 3D extension of position-specific scoring matrices.
  • Trained the model on interaction data from 82 mouse PDZ domains and 93 mouse peptides.
  • Validated the model's predictive power across different species (mouse, Drosophila, C. elegans).

Main Results:

  • The model accurately predicts binding interactions for novel PDZ domains and peptides.
  • Successful prediction of interactions involving PDZ domains from different species.
  • The model quantifies the effect of single-point mutations on binding affinity.

Conclusions:

  • A unified computational approach can effectively model PDZ domain binding selectivity.
  • The developed model provides a powerful tool for studying protein-protein interactions.
  • This work advances the understanding of molecular recognition mediated by PDZ domains.