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Pushing the limits of what is achievable in protein–DNA docking: benchmarking HADDOCK’s performance

The intrinsic flexibility of DNA and the difficulty of identifying its interaction surface have long been challenges that prevented the development of efficient protein–DNA docking methods. We have demonstrated the ability our flexible data-driven docking method HADDOCK to deal with these before, by...

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Detalles Bibliográficos
Autores principales: van Dijk, Marc, Bonvin, Alexandre M. J. J.
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2943626/
https://www.ncbi.nlm.nih.gov/pubmed/20466807
http://dx.doi.org/10.1093/nar/gkq222
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author van Dijk, Marc
Bonvin, Alexandre M. J. J.
author_facet van Dijk, Marc
Bonvin, Alexandre M. J. J.
author_sort van Dijk, Marc
collection PubMed
description The intrinsic flexibility of DNA and the difficulty of identifying its interaction surface have long been challenges that prevented the development of efficient protein–DNA docking methods. We have demonstrated the ability our flexible data-driven docking method HADDOCK to deal with these before, by using custom-built DNA structural models. Here we put our method to the test on a set of 47 complexes from the protein–DNA docking benchmark. We show that HADDOCK is able to predict many of the specific DNA conformational changes required to assemble the interface(s). Our DNA analysis and modelling procedure captures the bend and twist motions occurring upon complex formation and uses these to generate custom-built DNA structural models, more closely resembling the bound form, for use in a second docking round. We achieve throughout the benchmark an overall success rate of 94% of one-star solutions or higher (interface root mean square deviation ≤4 Å and fraction of native contacts >10%) according to CAPRI criteria. Our improved protocol successfully predicts even the challenging protein–DNA complexes in the benchmark. Finally, our method is the first to readily dock multiple molecules (N > 2) simultaneously, pushing the limits of what is currently achievable in the field of protein–DNA docking.
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spelling pubmed-29436262010-09-22 Pushing the limits of what is achievable in protein–DNA docking: benchmarking HADDOCK’s performance van Dijk, Marc Bonvin, Alexandre M. J. J. Nucleic Acids Res Computational Biology The intrinsic flexibility of DNA and the difficulty of identifying its interaction surface have long been challenges that prevented the development of efficient protein–DNA docking methods. We have demonstrated the ability our flexible data-driven docking method HADDOCK to deal with these before, by using custom-built DNA structural models. Here we put our method to the test on a set of 47 complexes from the protein–DNA docking benchmark. We show that HADDOCK is able to predict many of the specific DNA conformational changes required to assemble the interface(s). Our DNA analysis and modelling procedure captures the bend and twist motions occurring upon complex formation and uses these to generate custom-built DNA structural models, more closely resembling the bound form, for use in a second docking round. We achieve throughout the benchmark an overall success rate of 94% of one-star solutions or higher (interface root mean square deviation ≤4 Å and fraction of native contacts >10%) according to CAPRI criteria. Our improved protocol successfully predicts even the challenging protein–DNA complexes in the benchmark. Finally, our method is the first to readily dock multiple molecules (N > 2) simultaneously, pushing the limits of what is currently achievable in the field of protein–DNA docking. Oxford University Press 2010-09 2010-05-13 /pmc/articles/PMC2943626/ /pubmed/20466807 http://dx.doi.org/10.1093/nar/gkq222 Text en © The Author(s) 2010. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/2.5 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Computational Biology
van Dijk, Marc
Bonvin, Alexandre M. J. J.
Pushing the limits of what is achievable in protein–DNA docking: benchmarking HADDOCK’s performance
title Pushing the limits of what is achievable in protein–DNA docking: benchmarking HADDOCK’s performance
title_full Pushing the limits of what is achievable in protein–DNA docking: benchmarking HADDOCK’s performance
title_fullStr Pushing the limits of what is achievable in protein–DNA docking: benchmarking HADDOCK’s performance
title_full_unstemmed Pushing the limits of what is achievable in protein–DNA docking: benchmarking HADDOCK’s performance
title_short Pushing the limits of what is achievable in protein–DNA docking: benchmarking HADDOCK’s performance
title_sort pushing the limits of what is achievable in protein–dna docking: benchmarking haddock’s performance
topic Computational Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2943626/
https://www.ncbi.nlm.nih.gov/pubmed/20466807
http://dx.doi.org/10.1093/nar/gkq222
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