Abstract
Advances in biophysics and biochemistry have pushed back the limits of the structural characterization of biomolecular assemblies. Mixing even a limited amount of experimental and/or bioinformatics data with modeling methods such as macromolecular docking represents a valuable strategy to predict the three-dimensional structures of complexes. In this chapter, we discuss the HADDOCK data-driven approach to the modeling of complexes. The program supports a wide range of NMR and other experimental data as well as bioinformatics predictions. It is also available as a user-friendly web server, facilitating the modeling of biomolecular complexes for a wide community.
Original language | English |
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Title of host publication | NMR of biomolecules : towards mechanistic systems biology |
Editors | Ivano Bertini, Kathleen S. McGreevy, Giacomo Parigi |
Place of Publication | Weinheim |
Publisher | Wiley |
Pages | 520-535 |
Number of pages | 612 |
ISBN (Electronic) | 9783527644506 |
ISBN (Print) | 9783527328505 |
DOIs | |
Publication status | Published - 14 Mar 2012 |
Keywords
- protein–protein docking
- HADDOCK
- bioinformatics
- macromolecular docking
- three-dimensional structure
- web server
- biomolecular modeling