journal article·2021-04-29Open access

Reconstructing the Free Energy Profiles Describing the Switching Mechanism of a pH-Dependent DNA Nanodevice from ABMD Simulations

Alice Romeo, Mattia Falconi, Alessandro Desideri, Federico Iacovelli

Applied Sciences· Volume 11· Issue 9

Abstract

The pH-responsive behavior of six triple-helix DNA nanoswitches, differing in the number of protonation centers (two or four) and in the length of the linker (5, 15 or 25 bases), connecting the double-helical region to the single-strand triplex-forming region, was characterized at the atomistic level through Adaptively Biased Molecular Dynamics simulations. The reconstruction of the free energy profiles of triplex-forming oligonucleotide unbinding from the double helix identified a different minimum energy path for the three diprotic nanoswitches, depending on the length of the connecting linker and leading to a different per-base unbinding profile. The same analyses carried out on the tetraprotic switches indicated that, in the presence of four protonation centers, the unbinding process occurs independently of the linker length. The simulation data provide an atomistic explanation for previously published experimental results showing, only in the diprotic switch, a two unit increase in the pKa switching mechanism decreasing the linker length from 25 to 5 bases, endorsing the validity of computational methods for the design and refinement of functional DNA nanodevices.
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Research context

OpenAlex topics: Advanced biosensing and bioanalysis techniques · DNA and Nucleic Acid Chemistry · RNA Interference and Gene Delivery

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Biology, Interuniversity Consortium, National Institute Biostructure and Biosystem (INBB), University of Rome Tor Vergata, Via della Ricerca Scientifica 1, 00133 Rome, Italy

References (49)

Show source-provided references
1. Recent advances in DNA nanotechnology10.1016/j.cbpa.2018.04.012 ↗
2. Dynamic DNA nanotechnology: Toward functional nanoscale devices10.1039/C9NH00529C ↗
3. Keller, A., and Linko, V. (2020). Challenges and Perspectives of DNA Nanostructures in Biomedicine. Angew. Chem. Int. Ed. Engl.10.1002/anie.201916390 ↗
4. Assembly and structural analysis of a covalently closed nano-scale DNA cage10.1093/nar/gkm1124 ↗
5. Icosahedral DNA nanocapsules by modular assembly10.1002/anie.200806000 ↗
6. A Simple and Fast Semiautomatic Procedure for the Atomistic Modeling of Complex DNA Polyhedra10.1021/acs.jcim.5b00586 ↗
7. Self-Assembly of a DNA Dodecahedron from 20 Trisoligonucleotides withC3h Linkers10.1002/anie.200702682 ↗
8. Create Nanoscale Patterns with DNA Origami10.1002/smll.201805554 ↗
9. Endo, M., and Sugiyama, H. (2018). DNA Origami Nanomachines. Molecules, 23.10.3390/molecules23071766 ↗
10. Self-assembly of a nanoscale DNA box with a controllable lid10.1038/nature07971 ↗
11. Quantitative prediction of 3D solution shape and flexibility of nucleic acid nanostructures10.1093/nar/gkr1173 ↗
12. Control of enzyme reactions by a reconfigurable DNA nanovault10.1038/s41467-017-01072-8 ↗
13. DNA Nanocarriers: Programmed to Deliver10.1016/j.tibs.2018.09.010 ↗
14. Temperature-Controlled Encapsulation and Release of an Active Enzyme in the Cavity of a Self-Assembled DNA Nanocage10.1021/nn4030543 ↗
15. DNA hairpins promote temperature controlled cargo encapsulation in a truncated octahedral nanocage structure family10.1039/C6NR01806H ↗
16. Raniolo, S., Iacovelli, F., Unida, V., Desideri, A., and Biocca, S. (2019). In Silico and In Cell Analysis of Openable DNA Nanocages for miRNA Silencing. Int. J. Mol. Sci., 21.10.3390/ijms21010061 ↗
17. Nucleic Acid Nanostructures for Chemical and Biological Sensing10.1002/smll.201503854 ↗
18. Rutten, I., Daems, D., and Lammertyn, J. (2020). Boosting biomolecular interactions through DNA origami nano-tailored biosensing interfaces. J. Mater. Chem. B.10.1039/C9TB02439E ↗
19. The Growing Development of DNA Nanostructures for Potential Healthcare-Related Applications10.1002/adhm.201801546 ↗
20. Nano-oddities: Unusual nucleic acid assemblies for DNA-based nanostructures and nanodevices10.1021/ar500063x ↗
21. Triplex DNA Nanostructures: From Basic Properties to Applications10.1002/anie.201701868 ↗
22. General Strategy to Introduce pH-Induced Allostery in DNA-Based Receptors to Achieve Controlled Release of Ligands10.1021/acs.nanolett.5b00852 ↗
23. Selective control of reconfigurable chiral plasmonic metamolecules10.1126/sciadv.1602803 ↗
24. Reconfigurable DNA Origami Nanocapsule for pH-Controlled Encapsulation and Display of Cargo10.1021/acsnano.9b01857 ↗
25. Folding-upon-Repair DNA Nanoswitches for Monitoring the Activity of DNA Repair Enzymes10.1002/anie.202016223 ↗
26. Simulative and Experimental Characterization of a pH-Dependent Clamp-like DNA Triple-Helix Nanoswitch10.1021/jacs.6b11470 ↗
27. Probing the Functional Topology of a pH-Dependent Triple Helix DNA Nanoswitch Family through Gaussian Accelerated MD Simulation10.1021/acs.jcim.9b00133 ↗
28. Engineering a responsive DNA triple helix into an octahedral DNA nanostructure for a reversible opening/closing switching mechanism: A computational and experimental integrated study10.1093/nar/gky857 ↗
29. Entropy-Based Rational Modulation of the p K a of a Synthetic pH-Dependent Nanoswitch10.1021/jacs.9b04168 ↗
30. UCSF Chimera—A Visualization System for Exploratory Research and Analysis10.1002/jcc.20084 ↗
31. 3DNA: A versatile, integrated software system for the analysis, rebuilding and visualization of three-dimensional nucleic-acid structures10.1038/nprot.2008.104 ↗
32. An overview of the Amber biomolecular simulation package10.1002/wcms.1121 ↗
33. Parmbsc1: A refined force field for DNA simulations10.1038/nmeth.3658 ↗
34. Comparison of simple potential functions for simulating liquid water10.1063/1.445869 ↗
35. Efficient algorithms for langevin and DPD dynamics10.1021/ct3000876 ↗
36. Constant Pressure Md Simulation Method10.1080/15421400490437259 ↗
37. Numerical integration of the cartesian equations of motion of a system with constraints: Molecular dynamics of nalkanes10.1016/0021-9991(77)90098-5 ↗
38. SETTLE: An analytical version of the SHAKE and RATTLE algorithm for rigid water models10.1002/jcc.540130805 ↗
39. Particle mesh Ewald: An N⋅log(N) method for Ewald sums in large systems10.1063/1.464397 ↗
40. Adaptively biased molecular dynamics for free energy calculations10.1063/1.2844595 ↗
41. Well-tempered metadynamics: A smoothly converging and tunable free-energy method10.1103/PhysRevLett.100.020603 ↗
42. GROMACS: High performance molecular simulations through multi-level parallelism from laptops to supercomputers10.1016/j.softx.2015.06.001 ↗
43. Peptide Folding: When Simulation Meets Experiment10.1002/(SICI)1521-3773(19990115)38:1/2<236::AID-ANIE236>3.0.CO;2-M ↗
44. CURVES+ web server for analyzing and visualizing the helical, backbone and groove parameters of nucleic acid structures10.1093/nar/gkr316 ↗
45. Matplotlib: A 2D Graphics Environment10.1109/MCSE.2007.55 ↗
46. Ggplot2: Elegant Graphics for Data Analysis10.1111/j.1467-985X.2010.00676_9.x ↗
47. Iannone, F., Ambrosino, F., Bracco, G., De Rosa, M., Funel, A., Guarnieri, G., Migliori, S., Palombi, F., Ponti, G., and Santomauro, G. (2019, January 15–19). CRESCO ENEA HPC clusters: A working example of a multifabric GPFS Spectrum Scale layout. Proceedings of the 2019 International Conference on High Performance Computing & Simulation (HPCS), Dublin, Ireland.10.1109/HPCS48598.2019.9188135 ↗
48. Mfold web server for nucleic acid folding and hybridization prediction10.1093/nar/gkg595 ↗
49. NUPACK: Analysis and design of nucleic acid systems10.1002/jcc.21596 ↗