TY - JOUR
T1 - RosettaDock in CAPRI rounds 6-12
AU - Wang, Chu
AU - Schueler-Furman, Ora
AU - Andre, Ingemar
AU - London, Nir
AU - Fleishman, Sarel J.
AU - Bradley, Philip
AU - Qian, Bin
AU - Baker, David
PY - 2007/12
Y1 - 2007/12
N2 - 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 hops 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 Å 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.
AB - 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 hops 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 Å 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.
KW - CAPRI
KW - Flexible-backbone docking
KW - Homology docking
KW - Loop modeling
KW - Monte Carlo minimization
UR - http://www.scopus.com/inward/record.url?scp=36749066580&partnerID=8YFLogxK
U2 - 10.1002/prot.21684
DO - 10.1002/prot.21684
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C2 - 17671979
AN - SCOPUS:36749066580
SN - 0887-3585
VL - 69
SP - 758
EP - 763
JO - Proteins: Structure, Function and Genetics
JF - Proteins: Structure, Function and Genetics
IS - 4
ER -