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. 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. These findings provide valuable insights into the interactions between ssDNA and SWCNTs.
