Abstract
Structural characterization of protein–protein interactions can provide essential details to understand biological functions at the molecular level and to facilitate their manipulation for biotechnological and biomedical purposes. Unfortunately, the 3D structure is available for only a small fraction of all possible protein–protein interactions, due to the technical limitations of high-resolution structural determination methods. In this context, low-resolution structural techniques, such as small-angle X-ray scattering (SAXS), can be combined with computational docking to provide structural models of protein–protein interactions at large scale. In this chapter, we describe the pyDockSAXS web server (https://life.bsc.es/pid/pydocksaxs), which uses pyDock docking and scoring to provide structural models that optimally satisfy the input SAXS data. This server, which is freely available to the scientific community, provides an automatic pipeline to model the structure of a protein–protein complex from SAXS data.
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References
Koch MH, Vachette P, Svergun DI (2003) Small-angle scattering: a view on the properties, structures and structural changes of biological macromolecules in solution. Q Rev Biophys 36:147–227
Putnam CD, Hammel M, Hura GL, Tainer JA (2007) X-ray solution scattering (SAXS) combined with crystallography and computation: defining accurate macromolecular structures, conformations and assemblies in solution. Q Rev Biophys 40:191–285
Jacques DA, Trewhella J (2010) Small-angle scattering for structural biology—expanding the frontier while avoiding the pitfalls. Protein Sci 19:642–657
Cordeiro TN, Herranz-Trillo F, Urbanek A, Estaña A, Cortés J, Sibille N, Bernadó P (2017) Small-angle scattering studies of intrinsically disordered proteins and their complexes. Curr Opin Struct Biol 42:15–23
Bernadó P, Shimizu N, Zaccai G, Kamikubo H, Sugiyama M (2018) Solution scattering approaches to dynamical ordering in biomolecular systems. Biochim Biophys Acta Gen Subj 1862:253–274
Hub JS (2018) Interpreting solution X-ray scattering data using molecular simulations. Curr Opin Struct Biol 49:18–26
Yang S (2014) Methods for SAXS-based structure determination of biomolecular complexes. Adv Mater 26:7902–7910
Petoukhov MV, Svergun DI (2005) Global rigid body modeling of macromolecular complexes against small-angle scattering data. Biophys J 89:1237–1250
Ritchie DW (2008) Recent progress and future directions in protein-protein docking. Curr Protein Pept Sci 9:1–15
Pons C, D’Abramo M, Svergun DI, Orozco M, Bernado P, Fernandez-Recio J (2010) Structural characterization of protein-protein complexes by integrating computational docking with small-angle scattering data. J Mol Biol 403:217–230
Schneidman-Duhovny D, Hammel M, Sali A (2011) Macromolecular docking restrained by a small angle X-ray scattering profile. J Struct Biol 173:461–471
Schneidman-Duhovny D, Hammel M, Tainer JA, Sali A (2016) FoXS, FoXSDock and MultiFoXS: single-state and multi-state structural modeling of proteins and their complexes based on SAXS profiles. Nucleic Acids Res 44(W1):W424–W429
Sønderby P, Rinnan Å, Madsen JJ, Harris P, Bukrinski JT, Peters GHJ (2017) Small-angle X-ray scattering data in combination with RosettaDock improves the docking energy landscape. J Chem Inf Model 57:2463–2475
Schindler CEM, de Vries SJ, Sasse A, Zacharias M (2016) SAXS data alone can generate high-quality models of protein-protein complexes. Structure 24:1387–1397
Schneidman-Duhovny D, Hammel M (2018) Modeling structure and dynamics of protein complexes with SAXS profiles. Methods Mol Biol 1764:449–473
Bonvin AMJJ, Karaca E (2013) On the usefulness of ion-mobility mass spectrometry and SAXS data in scoring docking decoys. Acta Crystallogr D Biol Crystallogr 69:683–694
Jiménez-García B, Pons C, Svergun DI, Bernadó P, Fernández-Recio J (2015) pyDockSAXS: protein–protein complex structure by SAXS and computational docking. Nucleic Acids Res 43(W1):W356–W356
Svergun DI, Barberato C, Koch MHJ (1995) CRYSOL – a program to evaluate X-ray solution scattering of biological macromolecules from atomic coordinates. J Appl Crystallogr 28:768–773
Gabb HA, Jackson RM, Sternberg MJ (1997) Modelling protein docking using shape complementarity, electrostatics and biochemical information. J Mol Biol 272:106–120
Cheng TM, Blundell TL, Fernandez-Recio J (2007) pyDock: electrostatics and desolvation for effective scoring of rigid-body protein-protein docking. Proteins 68:503–515
Wang Q, Canutescu AA, Dunbrack RL Jr (2008) SCWRL and MolIDE: computer programs for side-chain conformation prediction and homology modeling. Nat Protoc 3:1832–1847
Jiménez-García B, Pons C, Fernández-Recio J (2013) pyDockWEB: a web server for rigid-body protein-protein docking using electrostatics and desolvation scoring. Bioinformatics 29:1698–1699
Cornell WD, Cieplak P, Bayly CI, Gould IR, Merz KM, Ferguson DM, Spellmeyer DC, Fox T, Caldwell JW, Kollman PA (1995) A second generation force field for the simulation of proteins, nucleic acids, and organic molecules. J Am Chem Soc 117:5179–5197
Acknowledgments
This work was supported by the Spanish Ministry of Science (grant BIO2016-79930-R), the European Union H2020 programme (grant MuG 676566), and the Labex EpiGenMed, an “Investissements d’avenir” program (ANR-10-LABX-12-01). The CBS is a member of France-BioImaging (FBI) and the French Infrastructure for Integrated Structural Biology (FRISBI), two national infrastructures supported by the French National Research Agency (ANR-10-INSB-04-01 and ANR-10-INSB-05, respectively).
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Jiménez-García, B., Bernadó, P., Fernández-Recio, J. (2020). Structural Characterization of Protein–Protein Interactions with pyDockSAXS. In: Gáspári, Z. (eds) Structural Bioinformatics. Methods in Molecular Biology, vol 2112. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-0270-6_10
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DOI: https://doi.org/10.1007/978-1-0716-0270-6_10
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