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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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Protein-Protein Interfaces02:04

Protein-Protein Interfaces

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4.3K
Protein Organization01:24

Protein Organization

8.7K
Proteins are polymers of amino acid residues. They are versatile and responsible for different cellular functions, including DNA replication, molecular transport, catalysis, and structural support. Proteins have a hierarchical structure comprising at least three levels of organization: primary, secondary, and tertiary structure. Some large proteins have a quaternary structure where individual protein subunits are linked together.
The primary structure of a protein is its amino acid sequence....
8.7K
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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Conserved Binding Sites01:49

Conserved Binding Sites

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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...
4.9K
Protein Complexes with Interchangeable Parts01:57

Protein Complexes with Interchangeable Parts

2.8K
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...
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Related Experiment Video

Updated: Dec 11, 2025

Incorporating Target Protein Structure Flexibility and Dynamics in Computational Drug Discovery Using Ensemble-Based Docking Analysis
08:49

Incorporating Target Protein Structure Flexibility and Dynamics in Computational Drug Discovery Using Ensemble-Based Docking Analysis

Published on: June 20, 2025

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Challenges in protein docking.

Ilya A Vakser1

  • 1Computational Biology Program and Department of Molecular Biosciences, The University of Kansas, Lawrence, KS 66045, USA.

Current Opinion in Structural Biology
|August 25, 2020
PubMed
Summary
This summary is machine-generated.

Protein docking models macromolecular complexes, enhancing accuracy and utility. Future directions include modeling in vivo environments and using deep learning for better protein interaction predictions.

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Area of Science:

  • Structural biology
  • Computational biology
  • Biophysics

Background:

  • Protein docking is crucial for modeling macromolecular complexes.
  • Current methods face challenges in accuracy, applicability, and utility.
  • Advancements are needed for diverse molecular targets and conformational flexibility.

Purpose of the Study:

  • To review current developments in protein docking.
  • To discuss challenges in modeling macromolecular complexes.
  • To provide a perspective on the future of protein docking.

Main Methods:

  • Review of current protein docking methodologies.
  • Discussion of emerging techniques like residue co-evolution and deep learning.
  • Consideration of in vivo modeling and system dynamics.

Main Results:

  • Protein docking is evolving towards greater accuracy and broader applicability.
  • New methods incorporate residue co-evolution and deep learning.
  • Focus is shifting towards realistic in vivo modeling.

Conclusions:

  • The future of protein docking involves advanced computational methods.
  • Accurate modeling of protein interactions in cellular environments is a key goal.
  • Continued development of automated servers and affinity prediction is essential.