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Insights on protein-DNA recognition by coarse grain modelling.

Abstract : Coarse grain modelling of macromolecules is a new approach, potentially well adapted to answer numerous issues, ranging from physics to biology. We propose here an original DNA coarse grain model specifically dedicated to protein-DNA docking, a crucial, but still largely unresolved, question in molecular biology. Using a representative set of protein-DNA complexes, we first show that our model is able to predict the interaction surface between the macromolecular partners taken in their bound form. In a second part, the impact of the DNA sequence and electrostatics, together with the DNA and protein conformations on docking is investigated. Our results strongly suggest that the overall DNA structure mainly contributes in discriminating the interaction site on cognate proteins. Direct electrostatic interactions between phosphate groups and amino acid side chains strengthen the binding. Overall, this work demonstrates that coarse grain modeling can reveal itself a precious auxiliary for a general and complete description and understanding of protein-DNA association mechanisms.
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Contributor : Pierre Poulain <>
Submitted on : Monday, April 19, 2010 - 9:41:55 AM
Last modification on : Tuesday, December 15, 2020 - 5:30:02 PM
Long-term archiving on: : Friday, October 19, 2012 - 1:36:17 PM


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Pierre Poulain, Adrien Saladin, Brigitte Hartmann, Chantal Prévost. Insights on protein-DNA recognition by coarse grain modelling.. Journal of Computational Chemistry, Wiley, 2008, 29 (15), pp.2582-92. ⟨10.1002/jcc.21014⟩. ⟨inserm-00320808⟩



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