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ATTRACT and PTOOLS: Open Source Programs for Protein–Protein Docking

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Computational Drug Discovery and Design

Part of the book series: Methods in Molecular Biology ((MIMB,volume 819))

Abstract

The prediction of the structure of protein-protein complexes based on structures or structural models of isolated partners is of increasing importance for structural biology and bioinformatics. The ATTRACT program can be used to perform systematic docking searches based on docking energy minimization. It is part of the object-oriented PTools library written in Python and C++. The library contains various routines to manipulate protein structures, to prepare and perform docking searches as well as analyzing docking results. It also intended to facilitate further methodological developments in the area of macromolecular docking that can be easily integrated. Here, we describe the application of PTools to perform systematic docking searches and to analyze the results. In addition, the possibility to perform multi-component docking will also be presented.

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References

  1. Zacharias, M. (2003) Protein-protein docking with a reduced protein model accounting for side-chain flexibility.Protein Sci. 12, 1271–1282.

    Article  PubMed  CAS  Google Scholar 

  2. May, A., and Zacharias, M. (2005) Accounting for global protein deformability during protein-protein and protein-ligand docking.Biochem. Biophys. Acta 1754, 225–231.

    PubMed  CAS  Google Scholar 

  3. Zacharias, M. (2005) ATTRACT: Protein-Protein Docking in CAPRI Using a Reduced Protein Model.Proteins 60, 252–256.

    Article  PubMed  CAS  Google Scholar 

  4. Bastard, K., Prevost, C., and Zacharias, M. (2006) Accounting for loop flexibility during protein-protein docking.Proteins 62, 956–969.

    Article  PubMed  CAS  Google Scholar 

  5. Poulain, P., Saladin, A., Hartmann, B., and Prevost, C. (2008) Insights on protein-DNA recognition by coarse-grain modeling.J. Comput. Chem. 29, 2582–2592.

    Article  PubMed  CAS  Google Scholar 

  6. May, A. and Zacharias, M. (2008) Protein-protein docking in CAPRI using ATTRACT to account for global and local flexibility.Proteins 69, 774–780.

    Article  Google Scholar 

  7. Zacharias, M. (2010) Accounting for conformational changes during protein-protein docking.Curr. Opin. Struct. Biol. 20, 180–186.

    Article  PubMed  CAS  Google Scholar 

  8. Fiorucci, S., and M. Zacharias (2010) Binding site prediction and improved scoring during flexible protein-protein docking with ATTRACT.Proteins 78, 3131–3119.

    Article  PubMed  CAS  Google Scholar 

  9. Saladin, A., Fiorucci, S., Poulain, P., Prévost, C., and Zacharias, M. (2009) PTools: an opensource molecular docking library.BMC Struct. Biol. 9, 27–38.

    Article  PubMed  Google Scholar 

  10. Saladin, A., Amourda, C., Poulain, P., Férey, N., Baaden, M., Zacharias, M., and Delalande, O. (2010) Modeling the early stage of DNA sequence recognition within RecA nucleoprotein filaments. Nucleic Acids Res.38, 6313–6323.

    Google Scholar 

  11. Qin, S.B. and Zhou, H.-X. (2007) meta-PPISP: a meta web server for protein-protein interaction site prediction, Bioinformatics 23, 3386–338.

    Article  PubMed  CAS  Google Scholar 

  12. Fiorucci, S. and Zacharias, M. (2010) Prediction of protein-protein interaction sites using electrostatic desolvation profiles Biophys. J. 98, 1921–1930.

    Article  PubMed  CAS  Google Scholar 

  13. van Heesch, D. (2008) Doxygen: Source code documentation generator tool. [http://www.stack.nl/~dimitri/doxygen/].

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Acknowldgements

We thank the Deutsche Forschungsgemeinschaft (DFG) for financial support (grant Za-153/5-3) to MZ.

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Correspondence to Martin Zacharias .

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© 2012 Springer Science+Business Media, LLC

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Schneider, S., Saladin, A., Fiorucci, S., Prévost, C., Zacharias, M. (2012). ATTRACT and PTOOLS: Open Source Programs for Protein–Protein Docking. In: Baron, R. (eds) Computational Drug Discovery and Design. Methods in Molecular Biology, vol 819. Springer, New York, NY. https://doi.org/10.1007/978-1-61779-465-0_15

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  • DOI: https://doi.org/10.1007/978-1-61779-465-0_15

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  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-61779-464-3

  • Online ISBN: 978-1-61779-465-0

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