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Related Concept Videos

Molecular Models02:00

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Physical models representing molecular architectures of chemical compounds play essential roles in understanding chemistry. The use of molecular models makes it easier to visualize the structures and shapes of atoms and molecules.
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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.
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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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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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Related Experiment Video

Updated: Sep 19, 2025

Application of I TASSER, trRosetta, UCSF Chimera, HADDOCK server, and HEX loria for De Novo and In Silico Design of Proteins
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HADDOCK3: A Modular and Versatile Platform for Integrative Modeling of Biomolecular Complexes.

Marco Giulini1, Victor Reys1, João M C Teixeira1,2

  • 1Bijvoet Centre for Biomolecular Research, Faculty of Science─Chemistry, Utrecht University, Padualaan 8, 3584 CH Utrecht, The Netherlands.

Journal of Chemical Information and Modeling
|June 17, 2025
PubMed
Summary
This summary is machine-generated.

HADDOCK3 is a new modular version of the HADDOCK software, enhancing biomolecular complex modeling. This flexible tool integrates experimental data with physics-based calculations, complementing machine learning predictions in structural biology.

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Area of Science:

  • Structural Biology
  • Computational Biology
  • Biophysics

Background:

  • HADDOCK is a established tool for integrative modeling of biomolecular complexes.
  • It incorporates experimental data into physics-based calculations for prediction and analysis.
  • Previous versions had a rigid pipeline, limiting flexibility.

Purpose of the Study:

  • Introduce HADDOCK3, a new modular version of the HADDOCK software.
  • Enhance flexibility and expand capabilities for integrative modeling.
  • Provide a physics-based tool to complement machine learning predictions.

Main Methods:

  • Deconstructed the original HADDOCK pipeline into independent modules.
  • Integrated powerful analysis tools and third-party software.
  • Developed HADDOCK3 to handle diverse integrative modeling scenarios.

Main Results:

  • HADDOCK3 offers increased flexibility for various modeling tasks.
  • Demonstrated successful applications not feasible with previous HADDOCK versions.
  • Highlighted expanded capabilities for complex structural predictions.

Conclusions:

  • HADDOCK3 is a versatile, physics-based tool for biomolecular complex modeling.
  • Its modular design and enhanced features support advanced structural biology research.
  • It effectively complements machine learning approaches in the post-AlphaFold era.