Genetic selection of cyclic peptide G-quadruplex ligands
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Abstract
Molecular probes are often at the forefront of chemical attempts to investigate biological
structures for their function. Indeed, molecular probes that bind the G-quadruplex (G4)
nucleic acid structure have been instrumental in demonstrating the existence and biological
importance of these non-canonical secondary structures. There is increasing evidence that
G4s present new opportunities in treating cancer and neurodegenerative disease, but a deeper
understanding of the mechanistic logic behind G4 function is necessary to exploit this secondary
structure as a clinical target. The generation of new, high-quality G4 probes can
address this challenge. Firstly, investigating G4s with molecular probes becomes especially
powerful when chemically contrasting G4 ligands reveal similar observations in a biological
context. Secondly, molecular probes often spearhead the development of new methods of
therapeutic intervention.
This thesis commences the exploration of cyclic peptides as alternative chemical scaffolds
for de novo G4 ligand generation. Widely used to generate protein binders as drug leads but
relatively under-explored for nucleic acid targeting, cyclic peptides lie in the chemical space
between small molecules and antibodies and combine advantages of both. In particular, the
rich 3D stereochemical complexity of cyclic peptides allows these molecules to access binding modes resembling that of a protein active site, and yet retain a small molecule’s ease of chemical
manipulation. Moreover, since amino acids are genetically encodable, they naturally lend
themselves to biosynthetic, high-throughput selection methodologies, allowing simultaneous
analysis and identification from libraries containing millions of different molecules.
Two contrasting cyclic peptide systems are focused on; the first generates bicyclic peptides
(so-called ‘bicycles’) with phage display. Cysteine-rich peptides displayed on the virus coats
are readily modified in situ to generate libraries (10