Supramolecular Recognition of a DNA Four‐Way Junction by an M <sub>2</sub> L <sub>4</sub> Metallo‐Cage, Inspired by a Simulation‐Guided Design Approach

DNA four-way junctions (4WJs) play an important biological role in DNA repair and recombination, and viral regulation, and are attractive therapeutic targets. Compounds that recognise the junction structure are rare; in this work, we describe cationic metallo-supramolecular M<sub>2</sub>L<sub>4</sub> cages as a new type of 4WJ binder with nanomolar affinities. A combination of molecular dynamics (MD) simulations and biophysical experiments show that the size and shape of a compound comprising square planar Pd or Pt and anthracene-based ligands is an excellent fit for the 4WJ cavity. Whilst the cage is also capable of binding to three-way junctions (3WJs) and Y-fork structures, we show that the 4WJ is the preferred DNA target, and that duplex B-DNA is not a competitor. Among 3WJs, T-shape bulged 3WJs are bound more preferably than perfect Y-shaped 3WJs. Whilst previous work studying M<sub>2</sub>L<sub>4</sub> metallo-supramolecular cages has focused on binding inside their structures, this work exploits the external aromatic surfaces of the supramolecule, creating a supramolecular guest that ideally matches the DNA host cavity. This approach allows available structures to be identified as potential junction binders and then screened for their fit to a nucleic acid junction target using simulations. This has potential to significantly accelerate discovery.

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Publication Details

Journal
Angewandte Chemie International Edition
Published
2025-04-17
DOI
https://doi.org/10.1002/anie.202504866
Citations
4
Primary Topic
Advanced biosensing and bioanalysis techniques
Type
article
Field-Weighted Citation Impact
3.22

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article

Supramolecular Recognition of a DNA Four‐Way Junction by an M 2 L 4 Metallo‐Cage, Inspired by a Simulation‐Guided Design Approach

Samuel J. Dettmer, Richard Napier, Hugo D. Williams, Michael J. Hannon et al.
4 citations
Angewandte Chemie International Edition
Advanced biosensing and bioanalysis techniques
3.22
article

Supramolecular Recognition of a DNA Four‐Way Junction by an M 2 L 4 Metallo‐Cage, Inspired by a Simulation‐Guided Design Approach

Samuel J. Dettmer, Richard Napier, Hugo D. Williams, Michael J. Hannon, Timothy D. Craggs, Joseph M. Beames, Steffan Walker-Griffiths
article en
4 citations

Abstract

DNA four-way junctions (4WJs) play an important biological role in DNA repair and recombination, and viral regulation, and are attractive therapeutic targets. Compounds that recognise the junction structure are rare; in this work, we describe cationic metallo-supramolecular M<sub>2</sub>L<sub>4</sub> cages as a new type of 4WJ binder with nanomolar affinities. A combination of molecular dynamics (MD) simulations and biophysical experiments show that the size and shape of a compound comprising square planar Pd or Pt and anthracene-based ligands is an excellent fit for the 4WJ cavity. Whilst the cage is also capable of binding to three-way junctions (3WJs) and Y-fork structures, we show that the 4WJ is the preferred DNA target, and that duplex B-DNA is not a competitor. Among 3WJs, T-shape bulged 3WJs are bound more preferably than perfect Y-shaped 3WJs. Whilst previous work studying M<sub>2</sub>L<sub>4</sub> metallo-supramolecular cages has focused on binding inside their structures, this work exploits the external aromatic surfaces of the supramolecule, creating a supramolecular guest that ideally matches the DNA host cavity. This approach allows available structures to be identified as potential junction binders and then screened for their fit to a nucleic acid junction target using simulations. This has potential to significantly accelerate discovery.

Angewandte Chemie International EditionVol. 64(26)
University of Warwick (GB), Physical Sciences (United States) (US), University of Birmingham (GB), University of Sheffield (GB)
University of Warwick, Engineering and Physical Sciences Research Council, Biotechnology and Biological Sciences Research Council
Openalex Percentile: Top 9%
Advanced biosensing and bioanalysis techniques
3.22
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