Single-walled carbon nanotubes (SWCNTs) have emerged as promising candidates for functions in biotechnology and nanoelectronics as a result of their distinctive bodily and chemical properties. Regardless of their potential, challenges like insolubility and toxicity have hindered their widespread use. Prior research have been investigating numerous methods to functionalize and modify the surfaces of SWCNTs to beat these challenges.
In a latest examine, researchers from the Pusan Nationwide College led by Professor Sanghwa Jeong, Assistant Professor within the College of Biomedical Convergence Engineering, have tried to fill this hole. This examine has gone past typical methods by using high-throughput screening strategies to elucidate the connection between DNA sequences and their binding affinity to carbon nanotubes. It targeted on optimizing the binding affinity and stability of those constructs by way of superior sequence design and molecular dynamics simulations. This latest examine was printed within the journal of Superior Science on 25th June 2024. Discussing the background of their examine Dr. Jeong explains, “Researchers have been exploring numerous methods to engineer SWCNT surfaces to beat the challenges of restricted functions owing to insolubility and potential toxicity. One promising strategy is using single-stranded DNA (ssDNA) as a wrapping surfactant for SWCNTs.”
The researchers employed a rigorous methodology to make sure exact characterization and optimization of single-stranded DNA (ssDNA)-SWCNT complexes. Initially, a various random 30-nucleotide (nt) ssDNA library underwent iterative rounds of screening to determine high-affinity sequences.
Computational modeling, notably molecular dynamics simulations, offered insights into the structural dynamics of the SWCNT constructs. Moreover, the researchers used a number of machine-learning fashions to grasp the sample of sequences that have an effect on binding affinity. They’ve efficiently created a freely accessible on-line service that predicts the binding affinity of ssDNA sequences to SWCNTs. These built-in approaches not solely validated the experimental findings but additionally guided the design of high-performance ssDNA-SWCNT constructs.
The findings revealed important developments within the stability and performance of ssDNA-SWCNT complexes. Excessive-affinity 30-nt ssDNA sequences, wealthy in adenine and cytosine, exhibited superior binding power, validated by way of surfactant displacement experiments. Molecular dynamics simulations highlighted the formation of secure intramolecular hydrogen bonds close to the SWCNT floor, underscoring their enhanced structural integrity. The machine-learning fashions successfully predicted the binding affinities of ssDNA sequences, additional supporting the design of the tailor-made ssDNA-SWCNT constructs.
Furthermore, the examine demonstrated notable enhancements within the resistance of those complexes to enzymatic degradation in comparison with free ssDNA, making them extremely appropriate for long-term organic functions.
In conclusion, the event of high-affinity ssDNA-SWCNT constructs marks a major development in nanobiotechnology. The distinctive traits of ssDNA-SWCNTs make them best candidates for cell or tissue-specific drug supply methods in addition to the event of high-performance nano digital gadgets.
Dr. Jeong concludes, “Our examine not solely makes a considerable contribution to our understanding of the interaction between ssDNA and SWCNTs but additionally gives sensible avenues for harnessing these interactions in a variety of superior applied sciences. Sooner or later, growing nanomaterials and gadgets with enhanced stability will present promise in driving innovation in nanoelectronics and biotechnology.”