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Protein-protein Interfaces02:04

Protein-protein Interfaces

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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...
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Ligand Binding and Linkage00:49

Ligand Binding and Linkage

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Allosteric proteins have more than one ligand binding site; the binding of a ligand to any of these sites influences the binding of ligands to the other sites. When a protein is allosteric, its binding sites are called coupled or linked.  In the case of enzymes, the site that binds to the substrate is known as the active site and the other site is known as the regulatory site. When a ligand binds to the regulatory site, this leads to conformational changes in the protein that can influence...
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Ligand Binding Sites02:40

Ligand Binding Sites

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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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Related Experiment Video

Updated: May 13, 2025

Development of Inhibitors of Protein-protein Interactions through REPLACE: Application to the Design and Development Non-ATP Competitive CDK Inhibitors
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A New Discrete-Geometry Approach for Integrative Docking of Proteins Using Chemical Cross-Links.

Yichi Zhang1, Muskaan Jindal2, Shruthi Viswanath2

  • 1CISE Department, University of Florida, Gainesville 32611-6120, Florida, United States.

Journal of Chemical Information and Modeling
|April 29, 2025
PubMed
Summary

A new computational method, wall-EASAL, enables efficient and robust integrative rigid docking of protein pairs using chemical cross-links. It performs comparably to existing methods but is faster and more resilient to inaccurate data.

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Area of Science:

  • Computational structural biology
  • Biophysics
  • Bioinformatics

Background:

  • Understanding protein complex structures is crucial for deciphering biological functions.
  • Integrative docking combines structural data with experimental information like chemical cross-links to predict complex structures.
  • Existing methods face challenges in efficiency and robustness against data inaccuracies.

Purpose of the Study:

  • To develop a novel discrete geometry-based method, wall-EASAL, for integrative rigid docking of protein pairs.
  • To assess the performance of wall-EASAL against established integrative modeling platforms (IMP).
  • To evaluate the method's efficiency and robustness using varying cross-linking data.

Main Methods:

  • Developed wall-EASAL, an adaptation of the efficient atlasing and search of assembly landscapes (EASAL) method.
  • Employed discrete geometry principles for efficient sampling of macromolecular configurations under distance constraints.
  • Validated the method using a benchmark dataset with diverse cross-linking and monomer structure inputs.

Main Results:

  • wall-EASAL demonstrates comparable accuracy to IMP in satisfying cross-link constraints and matching native structures.
  • wall-EASAL significantly outperforms IMP in computational efficiency for binary rigid docking.
  • The method shows enhanced robustness against false positive cross-links compared to IMP.

Conclusions:

  • wall-EASAL offers an efficient and robust alternative for integrative rigid protein docking using cross-linking data.
  • The method's generality allows for integration of various distance constraint sources beyond cross-links.
  • wall-EASAL structures can inform larger-scale modeling efforts, improving accuracy and efficiency in characterizing macromolecular assemblies.