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Modeling protein-protein complexes using the HADDOCK webserver "modeling protein complexes with HADDOCK".

Gydo C P van Zundert1, Alexandre M J J Bonvin

  • 1Faculty of Science - Chemistry, Bijvoet Center for Biomolecular Research, Utrecht University, CH Utrecht, The Netherlands.

Methods in Molecular Biology (Clifton, N.J.)
|February 28, 2014
PubMed
Summary

Computational modeling aids in understanding protein-protein interactions. The HADDOCK webserver integrates low-resolution experimental data, like chemical shift perturbations and residual dipolar couplings, to determine complex structures, exemplified by the Lys48-linked di-ubiquitin case.

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Area of Science:

  • Biochemistry
  • Structural Biology
  • Computational Biology

Background:

  • Protein-protein interactions are crucial for cellular functions.
  • Experimental determination of high-resolution protein interaction structures is challenging.
  • Computational modeling offers complementary insights into molecular interactions.

Purpose of the Study:

  • To present the HADDOCK webserver for biomolecular docking.
  • To demonstrate the integration of low-resolution experimental data in computational modeling.
  • To provide a user-friendly tool for structural and dynamical analysis of protein complexes.

Main Methods:

  • Development of the HADDOCK webserver, an interface for a biomolecular docking program.
  • Utilizing various low-resolution experimental data (chemical shift perturbation, residual dipolar couplings) to guide the docking process.
  • Case study using Lys48-linked di-ubiquitin to generate the 2BGF PDB model.

Main Results:

  • Successful application of the HADDOCK webserver in determining the structure of Lys48-linked di-ubiquitin.
  • Demonstration of effective integration of chemical shift perturbation and residual dipolar couplings.
  • Validation of HADDOCK's utility through other successful case studies.

Conclusions:

  • The HADDOCK webserver is a valuable, free resource for the scientific community.
  • It enables accurate structural and dynamical insights into protein-protein interactions.
  • The integration of diverse experimental data enhances the reliability of computational docking.