X-ray crystallography and NMR can provide detailed structural information of protein protein complexes, but technical problems make their application challenging in the high-throughput regime. Other methods such as small-angle X-ray scattering (SAXS) are more promising for large-scale application, but at the cost of lower resolution, which is a problem that can be solved by complementing SAXS data with theoretical simulations. Here, we propose a novel strategy that combines SAXS data and accurate protein protein docking simulations. The approach has been benchmarked on a large pool of known structures with synthetic SAXS data, and on three experimental examples. The combined approach (pyDockSAXS) provided a significantly better success rate (43% for the top 10 predictions) than either of the two methods alone. Further analysis of the influence of different docking parameters made it possible to increase the success rates for specific cases, and to define guidelines for improving the data-driven protein protein docking protocols. (C) 2010 Elsevier Ltd. All rights reserved.

Structural Characterization of Protein-Protein Complexes by Integrating Computational Docking with Small-angle Scattering Data / Pons, Carles; D'Abramo, Marco; Svergun, Dmitri I.; Orozco, Modesto; Bernadó, Pau; Fernández Recio, Juan. - In: JOURNAL OF MOLECULAR BIOLOGY. - ISSN 0022-2836. - STAMPA. - 403:2(2010), pp. 217-230. [10.1016/j.jmb.2010.08.029]

Structural Characterization of Protein-Protein Complexes by Integrating Computational Docking with Small-angle Scattering Data

D'ABRAMO, Marco;
2010

Abstract

X-ray crystallography and NMR can provide detailed structural information of protein protein complexes, but technical problems make their application challenging in the high-throughput regime. Other methods such as small-angle X-ray scattering (SAXS) are more promising for large-scale application, but at the cost of lower resolution, which is a problem that can be solved by complementing SAXS data with theoretical simulations. Here, we propose a novel strategy that combines SAXS data and accurate protein protein docking simulations. The approach has been benchmarked on a large pool of known structures with synthetic SAXS data, and on three experimental examples. The combined approach (pyDockSAXS) provided a significantly better success rate (43% for the top 10 predictions) than either of the two methods alone. Further analysis of the influence of different docking parameters made it possible to increase the success rates for specific cases, and to define guidelines for improving the data-driven protein protein docking protocols. (C) 2010 Elsevier Ltd. All rights reserved.
2010
protein-protein interactions, docking, small-angle X-ray scattering, protein complex structure, binding energy
01 Pubblicazione su rivista::01a Articolo in rivista
Structural Characterization of Protein-Protein Complexes by Integrating Computational Docking with Small-angle Scattering Data / Pons, Carles; D'Abramo, Marco; Svergun, Dmitri I.; Orozco, Modesto; Bernadó, Pau; Fernández Recio, Juan. - In: JOURNAL OF MOLECULAR BIOLOGY. - ISSN 0022-2836. - STAMPA. - 403:2(2010), pp. 217-230. [10.1016/j.jmb.2010.08.029]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/556433
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