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RosettaDock in CAPRI rounds 6-12
- Source :
- Proteins. 69(4)
- Publication Year :
- 2007
-
Abstract
- A challenge in protein–protein docking is to account for the conformational changes in the monomers that occur upon binding. The RosettaDock method, which incorporates sidechain flexibility but keeps the backbone fixed, was found in previous CAPRI rounds (4 and 5) to generate docking models with atomic accuracy, provided that conformational changes were mainly restricted to protein sidechains. In the recent rounds of CAPRI (6–12), large backbone conformational changes occur upon binding for several target complexes. To address these challenges, we explicitly introduced backbone flexibility in our modeling procedures by combining rigid-body docking with protein structure prediction techniques such as modeling variable loops and building homology models. Encouragingly, using this approach we were able to correctly predict a significant backbone conformational change of an interface loop for Target 20 (12 A rmsd between those in the unbound monomer and complex structures), but accounting for backbone flexibility in protein–protein docking is still very challenging because of the significantly larger conformational space, which must be surveyed. Motivated by these CAPRI challenges, we have made progress in reformulating RosettaDock using a “fold-tree” representation, which provides a general framework for treating a wide variety of flexible-backbone docking problems. Proteins 2007. © 2007 Wiley-Liss, Inc.
- Subjects :
- Proteomics
Conformational change
Proteomics methods
Computer science
Protein Conformation
Molecular Conformation
Computational biology
Biochemistry
Protein structure
Structural Biology
Computational chemistry
Catalytic Domain
Protein Interaction Mapping
Escherichia coli
Computer Simulation
Loop modeling
Databases, Protein
Molecular Biology
Monte carlo minimization
Computational Biology
Proteins
Protein structure prediction
Searching the conformational space for docking
Docking (molecular)
Dimerization
Monte Carlo Method
Algorithms
Software
Protein Binding
Subjects
Details
- ISSN :
- 10970134
- Volume :
- 69
- Issue :
- 4
- Database :
- OpenAIRE
- Journal :
- Proteins
- Accession number :
- edsair.doi.dedup.....e9de56b314831d0192b57f7a6a1b8688