In Silico Footprinting of Ligands Binding to the Minor Groove of DNA
Nahoum G. Anthony, Guillaume Huchet, Blair F. Johnston, John A. Parkinson, Colin J. Suckling, Roger D. Waigh, Simon P. Mackay
Abstract
Nahoum G. Anthony, Guillaume Huchet, Blair F. Johnston, John A. Parkinson, Colin J. Suckling, Roger D. Waigh, Simon P. Mackay
Abstract
The sequence selectivity of small molecules binding to the minor groove of DNA can be predicted by "in silico footprinting". Any potential ligand can be docked in the minor groove and then moved along it using simple simulation techniques. By applying a simple scoring function to the trajectory after energy minimization, the preferred binding site can be identified. We show application to all known noncovalent binding modes, namely 1:1 ligand:DNA binding (including hairpin ligands) and 2:1 side-by-side binding, with various DNA base pair sequences and show excellent agreement with experimental results from X-ray crystallography, NMR, and gel-based footprinting.
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The sequence selectivity of small molecules binding to the minor groove of DNA can be predicted by "in silico footprinting". Any potential ligand can be docked in the minor groove and then moved along it using simple simulation techniques. By applying a simple scoring function to the trajectory after energy minimization, the preferred binding site can be identified. We show application to all known noncovalent binding modes, namely 1:1 ligand:DNA binding (including hairpin ligands) and 2:1 side-by-side binding, with various DNA base pair sequences and show excellent agreement with experimental results from X-ray crystallography, NMR, and gel-based footprinting.
Key concepts: Footprinting, Minor groove, DNA footprinting, In silico, DNA, Base pair, Groove (engineering), Binding site