Skip to main content

Genome-Wide Structural Modeling of Protein-Protein Interactions

  • Conference paper
  • First Online:
Book cover Bioinformatics Research and Applications (ISBRA 2016)

Abstract

Structural characterization of protein-protein interactions is essential for fundamental understanding of biomolecular processes and applications in biology and medicine. The number of protein interactions in a genome is significantly larger than the number of individual proteins. Most protein structures have to be models of limited accuracy. The structure-based methods for building the network of protein interactions have to be fast and insensitive to the inaccuracies of the modeled structures. This paper describes our latest development of the docking methodology, including global docking search, scoring and refinement of the predictions, its systematic benchmarking on comprehensive sets of protein structures of different accuracy, and application to the genome-wide networks of protein interactions.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Vakser, I.A.: Low-resolution structural modeling of protein interactome. Curr. Opin. Struct. Biol. 23, 198–205 (2013)

    Article  Google Scholar 

  2. Vakser, I.A.: Protein-protein docking: From interaction to interactome. Biophys. J. 107, 1785–1793 (2014)

    Article  Google Scholar 

  3. Katchalski-Katzir, E., Shariv, I., Eisenstein, M., Friesem, A.A., Aflalo, C., Vakser, I.A.: Molecular surface recognition: Determination of geometric fit between proteins and their ligands by correlation techniques. Proc. Natl. Acad. Sci. U.S.A. 89, 2195–2199 (1992)

    Article  Google Scholar 

  4. Szilagyi, A., Zhang, Y.: Template-based structure modeling of protein–protein interactions. Curr. Opin. Struct. Biol. 24, 10–23 (2014)

    Article  Google Scholar 

  5. Zhang, Q.C., Petrey, D., Deng, L., Qiang, L., Shi, Y., Thu, C.A., et al.: Structure-based prediction of protein-protein interactions on a genome-wide scale. Nature 490, 556–560 (2012)

    Article  Google Scholar 

  6. Vakser, I.A.: Protein docking for low-resolution structures. Protein Eng. 8, 371–377 (1995)

    Article  Google Scholar 

  7. Kundrotas, P.J., Zhu, Z., Janin, J., Vakser, I.A.: Templates are available to model nearly all complexes of structurally characterized proteins. Proc. Natl. Acad. Sci. U.S.A. 109, 9438–9441 (2012)

    Article  Google Scholar 

  8. Kundrotas, P.J., Vakser, I.A.: Global and local structural similarity in protein-protein complexes: Implications for template-based docking. Proteins 81, 2137–2142 (2013)

    Article  Google Scholar 

  9. Berman, H.M., Westbrook, J., Feng, Z., Gilliland, G., Bhat, T.N., Weissig, H., et al.: The Protein Data Bank. Nucleic Acids Res. 28, 235–242 (2000)

    Article  Google Scholar 

  10. Anishchenko, I., Kundrotas, P.J., Tuzikov, A.V., Vakser, I.A.: Structural templates for comparative protein docking. Proteins. 83, 1563–1570 (2015)

    Article  Google Scholar 

  11. Lensink, M.F., Wodak, S.J.: Docking, scoring, and affinity prediction in CAPRI. Proteins. 81, 2082–2095 (2013)

    Article  Google Scholar 

  12. Krallinger, M., Valencia, A.: Text-mining and information-retrieval services for molecular biology. Genome Biol. 6, 224 (2005)

    Article  Google Scholar 

  13. Badal, V.D., Kundrotas, P.J., Vakser, I.A.: Text mining for protein docking. PLoS Comp Biol. 11, e1004630 (2015)

    Article  Google Scholar 

  14. Kirys, T., Ruvinsky, A., Tuzikov, A.V., Vakser, I.A.: Rotamer libraries and probabilities of transition between rotamers for the side chains in protein-protein binding. Proteins. 80, 2089–2098 (2012)

    Google Scholar 

  15. Elber, R., Karplus, M.: A method for determining reaction paths in large molecules - application to myoglobin. Chem. Phys. Lett. 139, 375–380 (1987)

    Article  Google Scholar 

  16. Anishchenko, I., Kundrotas, P.J., Tuzikov, A.V., Vakser, I.A.: Protein models docking benchmark 2. Proteins. 83, 891–897 (2015)

    Article  Google Scholar 

  17. Miyazawa, S., Jernigan, R.L.: Self-consistent estimation of inter-residue protein contact energies based on an equilibrium mixture approximation of residues. Proteins 34, 49–68 (1999)

    Article  Google Scholar 

  18. Pierce, B.G., Hourai, Y., Weng, Z.: Accelerating protein docking in ZDOCK using an advanced 3D convolution library. PLoS ONE 6, e24657 (2011)

    Article  Google Scholar 

  19. Zhang, Y., Skolnick, J.: TM-align: A protein structure alignment algorithm based on the TM-score. Nucl. Acid Res. 33, 2302–2309 (2005)

    Article  Google Scholar 

  20. Kundrotas, P.J., Zhu, Z., Vakser, I.A.: GWIDD: Genome-Wide Protein Docking Database. Nucl Acid Res. 38, D513–D517 (2010)

    Article  Google Scholar 

  21. Stark, C., Breitkreutz, B.J., Chatr-Aryamontri, A., Boucher, L., Oughtred, R., Livstone, M.S., et al.: The BioGRID Interaction Database: 2011 update. Nucl Acid Res. 39, D698–D704 (2011)

    Article  Google Scholar 

  22. Orchard, S., et al.: The MIntAct project-IntAct as a common curation platform for 11 molecular interaction databases. Nucl Acid Res. 42, D358–D363 (2014)

    Article  Google Scholar 

Download references

Acknowledgments

This study was supported by NIH grant R01GM074255 and NSF grant DBI1262621. Calculations were conducted in part on ITTC computer cluster at The University of Kansas.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ilya A. Vakser .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this paper

Cite this paper

Anishchenko, I. et al. (2016). Genome-Wide Structural Modeling of Protein-Protein Interactions. In: Bourgeois, A., Skums, P., Wan, X., Zelikovsky, A. (eds) Bioinformatics Research and Applications. ISBRA 2016. Lecture Notes in Computer Science(), vol 9683. Springer, Cham. https://doi.org/10.1007/978-3-319-38782-6_8

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-38782-6_8

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-38781-9

  • Online ISBN: 978-3-319-38782-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics