Resolution and characterization of the structural polymorphism of a single quadruplex-forming sequence.

The remarkable structural polymorphism of quadruplex-forming sequences has been a considerable impediment in the elucidation of quadruplex folds. Sequence modifications have commonly been used to perturb and purportedly select a particular form out of the ensemble of folds for nuclear magnetic resonance (NMR) or X-ray crystallographic analysis. Here we report a simple chromatographic technique that separates the individual folds without need for sequence modification. The sequence d(GGTGGTGGTGGTTGTGGTGGTGGTGG) forms a compact quadruplex according to a variety of common biophysical techniques. However, NMR and chromatography showed that this oligonucleotide produces at least eight monomeric quadruplex species that interconvert very slowly at room temperature. We have used a combination of spectroscopic, hydrodynamic and thermodynamic techniques to evaluate the physicochemical properties of the mixture and the individual species. These species have almost identical thermodynamic, hydrodynamic and electrophoretic properties, but significantly different NMR and circular dichroism (CD) spectra, as well as kinetic stability. These results demonstrate that simple standard low-resolution techniques cannot always be used for quadruplex fold determination or quality control purposes, and that simple thermodynamic analysis does not directly provide interpretable thermodynamic parameters.

Structure-based drug design: from nucleic acid to membrane protein targets.

The in silico methods for drug discovery are becoming increasingly powerful and useful. That, in combination with increasing computer processor power, in our case using a novel distributed computing grid, has enabled us to greatly enhance our virtual screening efforts. Herein we review some of these efforts using both receptor and ligand-based virtual screening, with the goal of finding new anti-cancer agents. In particular, nucleic acids are a neglected set of targets, especially the different morphologies of duplex, triplex, and quadruplex DNA, many of which have increasing biological relevance. We also review examples of molecular modeling to understand receptors and using virtual screening against G-protein coupled receptor membrane proteins.