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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...
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...
Protein Complexes with Interchangeable Parts01:57

Protein Complexes with Interchangeable Parts

Groups of proteins may form a complex where each protein in this complex has a different role in the overall execution of the complex’s function. Often some of the proteins in the complex can be replaced by a closely related variant to give a complex that contains many of the same components yet is functionally distinct.
The SCF ubiquitin ligase is a protein complex of five individual proteins. This complex attaches ubiquitin to other target proteins to mark them for degradation. In order to...

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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
06:50

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

Published on: January 26, 2024

New computational method for prediction of interacting protein loop regions.

Matthew L Danielson1, Markus A Lill

  • 1Department of Medicinal Chemistry and Molecular Pharmacology, Purdue University, West Lafayette, Indiana 47907, USA.

Proteins
|February 27, 2010
PubMed
Summary

Predicting interacting protein loops simultaneously using CorLps improves accuracy over sequential methods. This computational approach enhances understanding of protein dynamics and function.

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Area of Science:

  • Computational Biology
  • Structural Bioinformatics
  • Protein Dynamics

Background:

  • Flexible loop regions are critical for protein functions like ligand recognition and catalysis.
  • Existing computational methods often predict loop conformations individually, neglecting crucial inter-loop interactions.
  • Interacting loops can stabilize each other's conformations, influencing overall protein structure and function.

Purpose of the Study:

  • To develop a novel computational method, CorLps, for simultaneous prediction of interacting protein loop conformations.
  • To evaluate the efficacy of CorLps compared to sequential loop prediction methods.
  • To enhance the accuracy of loop conformation prediction by considering mutual interactions.

Main Methods:

  • Generating ensembles of individual loop conformations for each loop region.
  • Combining individual ensembles and filtering based on steric clashes.
  • Employing side-chain optimization and the DFIRE statistical potential for ranking conformations.
  • Utilizing quality threshold clustering to diversify initial conformation pools for longer loops.

Main Results:

  • CorLps demonstrates superior performance in predicting interacting loops compared to sequential prediction.
  • The accuracy of CorLps is comparable to methods predicting single loop regions.
  • Diversifying initial conformations using clustering improves top-ranked solution accuracy for 12-residue loops.

Conclusions:

  • Simultaneous prediction of interacting loops is more effective than sequential approaches.
  • CorLps offers a robust method for modeling protein loop conformations, considering their mutual influences.
  • The findings contribute to more accurate protein structure and function prediction through improved loop modeling.