Single-walled carbon nanotubes (SWCNTs) hold promise for biomedicine and nanoelectronics, yet the functionalization with single-stranded DNA (ssDNA) remains a challenge. Researchers using high-affinity ssDNA sequences identified through high-throughput selection.
Single-walled carbon nanotubes hold promise for biomedicine and nanoelectronics, yet the functionalization with single-stranded DNA remains a challenge. Researchers using high-affinity ssDNA sequences identified through high-throughput selection. They demonstrated the effectivity and stability of these constructs using molecular dynamics simulations. Machine-learning models were used to accurately predict patterns that govern ssDNA-SWCNT binding affinity.
The researchers employed a rigorous methodology to ensure precise characterization and optimization of single-stranded DNA -SWCNT complexes. Initially, a diverse random 30-nucleotide ssDNA library underwent iterative rounds of screening to identify high-affinity sequences. Moreover, the study demonstrated notable improvements in the resistance of these complexes to enzymatic degradation compared to free ssDNA, making them highly suitable for long-term biological applications.
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