Projects per year
Abstract
A combined structural and quantitative biophysical profile of the DNA binding affinity, kinetics and sequence-selectivity of hairpin polyamide analogues is described. DNA duplexes containing either target polyamide binding sites or mismatch sequences are immobilized on a microelectrode surface. Quantitation of the DNA binding profile of polyamides containing N-terminal 1-alkylimidazole (Im) units exhibit picomolar binding affinities for their target sequences, whereas 5-alkylthiazole (Nt) units are an order of magnitude lower (low nanomolar). Comparative NMR structural analyses of the polyamide series shows that the steric bulk distal to the DNA-binding face of the hairpin iPr-Nt polyamide plays an influential role in the allosteric modulation of the overall DNA duplex structure. This combined kinetic and structural study provides a foundation to develop next-generation hairpin designs where the DNA-binding profile of polyamides is reconciled with their physicochemical properties.
Original language | English |
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Pages (from-to) | 2757-2763 |
Number of pages | 7 |
Journal | Chemistry - A European Journal |
Volume | 25 |
Issue number | 11 |
Early online date | 8 Nov 2018 |
DOIs | |
Publication status | Published - 21 Feb 2019 |
Keywords
- DNA-binding polyamides
- DNA binding
- polyamide binding
Fingerprint
Dive into the research topics of 'Structural and kinetic profiling of allosteric modulation of duplex DNA induced by DNA-binding polyamide analogues'. Together they form a unique fingerprint.Projects
- 2 Finished
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Global Engagements: Glenn Burley Arizona State University
9/02/15 → 8/02/16
Project: Internally funded project
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A Dynamic Perspective on DNA-binding
Hunt, N., Burley, G. & Suckling, C.
STFC Science and Technology Facilities Council
1/12/14 → 30/11/15
Project: Research
Datasets
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Data for: "Structural and kinetic profiling of allosteric modulation of duplex DNA induced by DNA-binding polyamide analogues"
Aman, K. (Creator), University of Strathclyde, 21 Jan 2019
DOI: 10.15129/b26c367d-6e17-4822-91b3-fa2dd5235969
Dataset