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SnugDock: Paratope Structural Optimization during Antibody-Antigen Docking Compensates for Errors in Antibody Homology Models
by
Gray, Jeffrey J.
, Sircar, Aroop
in
Accuracy
/ Algorithms
/ Antibodies - chemistry
/ Antibodies - metabolism
/ Antigen-Antibody Complex - chemistry
/ Antigen-Antibody Complex - metabolism
/ Antigen-antibody reactions
/ Antigens - chemistry
/ Antigens - metabolism
/ Binding Sites, Antibody
/ Biochemistry/Bioinformatics
/ Biochemistry/Drug Discovery
/ Biochemistry/Protein Folding
/ Biochemistry/Theory and Simulation
/ Biophysics/Biomacromolecule-Ligand Interactions
/ Biophysics/Protein Folding
/ Biophysics/Theory and Simulation
/ Computational Biology/Protein Structure Prediction
/ Crystal structure
/ Crystals
/ Immunology/Antigen Processing and Recognition
/ Medical research
/ Models, Molecular
/ Molecular Biology/Bioinformatics
/ Pharmacology/Drug Development
/ Protein Binding
/ Proteins
/ Structural Homology, Protein
/ Structure
2010
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SnugDock: Paratope Structural Optimization during Antibody-Antigen Docking Compensates for Errors in Antibody Homology Models
by
Gray, Jeffrey J.
, Sircar, Aroop
in
Accuracy
/ Algorithms
/ Antibodies - chemistry
/ Antibodies - metabolism
/ Antigen-Antibody Complex - chemistry
/ Antigen-Antibody Complex - metabolism
/ Antigen-antibody reactions
/ Antigens - chemistry
/ Antigens - metabolism
/ Binding Sites, Antibody
/ Biochemistry/Bioinformatics
/ Biochemistry/Drug Discovery
/ Biochemistry/Protein Folding
/ Biochemistry/Theory and Simulation
/ Biophysics/Biomacromolecule-Ligand Interactions
/ Biophysics/Protein Folding
/ Biophysics/Theory and Simulation
/ Computational Biology/Protein Structure Prediction
/ Crystal structure
/ Crystals
/ Immunology/Antigen Processing and Recognition
/ Medical research
/ Models, Molecular
/ Molecular Biology/Bioinformatics
/ Pharmacology/Drug Development
/ Protein Binding
/ Proteins
/ Structural Homology, Protein
/ Structure
2010
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SnugDock: Paratope Structural Optimization during Antibody-Antigen Docking Compensates for Errors in Antibody Homology Models
by
Gray, Jeffrey J.
, Sircar, Aroop
in
Accuracy
/ Algorithms
/ Antibodies - chemistry
/ Antibodies - metabolism
/ Antigen-Antibody Complex - chemistry
/ Antigen-Antibody Complex - metabolism
/ Antigen-antibody reactions
/ Antigens - chemistry
/ Antigens - metabolism
/ Binding Sites, Antibody
/ Biochemistry/Bioinformatics
/ Biochemistry/Drug Discovery
/ Biochemistry/Protein Folding
/ Biochemistry/Theory and Simulation
/ Biophysics/Biomacromolecule-Ligand Interactions
/ Biophysics/Protein Folding
/ Biophysics/Theory and Simulation
/ Computational Biology/Protein Structure Prediction
/ Crystal structure
/ Crystals
/ Immunology/Antigen Processing and Recognition
/ Medical research
/ Models, Molecular
/ Molecular Biology/Bioinformatics
/ Pharmacology/Drug Development
/ Protein Binding
/ Proteins
/ Structural Homology, Protein
/ Structure
2010
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SnugDock: Paratope Structural Optimization during Antibody-Antigen Docking Compensates for Errors in Antibody Homology Models
Journal Article
SnugDock: Paratope Structural Optimization during Antibody-Antigen Docking Compensates for Errors in Antibody Homology Models
2010
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Overview
High resolution structures of antibody-antigen complexes are useful for analyzing the binding interface and to make rational choices for antibody engineering. When a crystallographic structure of a complex is unavailable, the structure must be predicted using computational tools. In this work, we illustrate a novel approach, named SnugDock, to predict high-resolution antibody-antigen complex structures by simultaneously structurally optimizing the antibody-antigen rigid-body positions, the relative orientation of the antibody light and heavy chains, and the conformations of the six complementarity determining region loops. This approach is especially useful when the crystal structure of the antibody is not available, requiring allowances for inaccuracies in an antibody homology model which would otherwise frustrate rigid-backbone docking predictions. Local docking using SnugDock with the lowest-energy RosettaAntibody homology model produced more accurate predictions than standard rigid-body docking. SnugDock can be combined with ensemble docking to mimic conformer selection and induced fit resulting in increased sampling of diverse antibody conformations. The combined algorithm produced four medium (Critical Assessment of PRediction of Interactions-CAPRI rating) and seven acceptable lowest-interface-energy predictions in a test set of fifteen complexes. Structural analysis shows that diverse paratope conformations are sampled, but docked paratope backbones are not necessarily closer to the crystal structure conformations than the starting homology models. The accuracy of SnugDock predictions suggests a new genre of general docking algorithms with flexible binding interfaces targeted towards making homology models useful for further high-resolution predictions.
Publisher
Public Library of Science,Public Library of Science (PLoS)
Subject
/ Antigen-Antibody Complex - chemistry
/ Antigen-Antibody Complex - metabolism
/ Biochemistry/Protein Folding
/ Biochemistry/Theory and Simulation
/ Biophysics/Biomacromolecule-Ligand Interactions
/ Biophysics/Theory and Simulation
/ Computational Biology/Protein Structure Prediction
/ Crystals
/ Immunology/Antigen Processing and Recognition
/ Molecular Biology/Bioinformatics
/ Pharmacology/Drug Development
/ Proteins
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