Abstract
Experimental structure determination for G protein-coupled receptors (GPCRs) and especially their complexes with protein and peptide ligands is at its infancy. In the absence of complex structures, molecular modeling and docking play a large role not only by providing a proper 3D context for interpretation of biochemical and biophysical data, but also by prospectively guiding experiments. Experimentally confirmed restraints may help improve the accuracy and information content of the computational models. Here we present a hybrid molecular modeling protocol that integrates heterogeneous experimental data with force field-based calculations in the stochastic global optimization of the conformations and relative orientations of binding partners. Some experimental data, such as pharmacophore-like chemical fields or disulfide-trapping restraints, can be seamlessly incorporated in the protocol, while other types of data are more useful at the stage of solution filtering. The protocol was successfully applied to modeling and design of a stable construct that resulted in crystallization of the first complex between a chemokine and its receptor. Examples from this work are used to illustrate the steps of the protocol. The utility of different types of experimental data for modeling and docking is discussed and caveats associated with data misinterpretation are highlighted.
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Acknowledgements
Authors thank Martin Gustavsson, Lauren G. Holden, Ling Qin, Yi Zheng, and other members of Handel lab at UCSD for valuable input regarding the disulfide trapping assay in application to chemokine receptor interactions. This work is partially supported by National Institutes of Health grants R01 GM071872, U01 GM094612, U54 GM094618, and R01 AI118985. We apologize to many researchers whose work could not be acknowledged appropriately due to space limitations.
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Kufareva, I., Handel, T.M., Abagyan, R. (2015). Experiment-Guided Molecular Modeling of Protein–Protein Complexes Involving GPCRs. In: Filizola, M. (eds) G Protein-Coupled Receptors in Drug Discovery. Methods in Molecular Biology, vol 1335. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-2914-6_19
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DOI: https://doi.org/10.1007/978-1-4939-2914-6_19
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