Literature DB >> 24573481

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

Gydo C P van Zundert1, Alexandre M J J Bonvin.   

Abstract

Protein-protein interactions lie at the heart of most cellular processes. Determining their high-resolution structures by experimental methods is a nontrivial task, which is why complementary computational approaches have been developed over the years. To gain structural and dynamical insight on an atomic scale in these interactions, computational modeling must often be complemented by low-resolution experimental information. For this purpose, we developed the user-friendly HADDOCK webserver, the interface to our biomolecular docking program, which can make use of a variety of low-resolution data to drive the docking process. In this chapter, we explain the use of the HADDOCK webserver based on the real-life Lys48-linked di-ubiquitin case, which led to the 2BGF PDB model. We demonstrate the use of chemical shift perturbation data in combination with residual dipolar couplings and further highlight a few other cases where our software was successfully used. The HADDOCK webserver is available to the science community for free at haddock.science.uu.nl/services/HADDOCK.

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Year:  2014        PMID: 24573481     DOI: 10.1007/978-1-4939-0366-5_12

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  17 in total

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Journal:  Microbiol Res       Date:  2022-06-25       Impact factor: 5.070

4.  Identification and Characterization of the Interaction Between the Methyl-7-Guanosine Cap Maturation Enzyme RNMT and the Cap-Binding Protein eIF4E.

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Journal:  Biomolecules       Date:  2021-04-24

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9.  Distinguishing crystallographic from biological interfaces in protein complexes: role of intermolecular contacts and energetics for classification.

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Journal:  BMC Bioinformatics       Date:  2018-11-30       Impact factor: 3.169

Review 10.  A Dynamic Overview of Antimicrobial Peptides and Their Complexes.

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Journal:  Molecules       Date:  2018-08-15       Impact factor: 4.411

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