Enhancing Enzyme Activity Via Noncovalent Association with DNA-Functionalized Nanoparticles
Year: 2026
Type: article
Abstract: Enhancing enzyme performance without protein engineering remains a central challenge in biocatalysis. Here, we report the unusual discovery that nanoparticles densely functionalized with DNA, commonly known as spherical nucleic acids (SNAs), can bind enzymes without chemical conjugation, affinity tags, or engineered recognition motifs and substantially increase catalytic activity. Using cytochrome c as a model peroxidase, we show that noncovalent binding to SNAs increases the apparent turnover number by up to 15-fold. Mechanistic studies by varying DNA density, length, and nanoparticle core identity reveal that activity enhancement does not arise from free DNA or the nanoparticle core alone but from the three-dimensional, high-density presentation of DNA at the nanoparticle surface. Consequently, similar effects are observed when gold cores are replaced with glucose oxidase or antibody cores. Moreover, activity modulation also depends on DNA sequence, establishing sequence design as a programmable handle for tuning enzyme output. All-atom molecular dynamics simulations, binding studies, and circular dichroism further reveal that base-specific interactions reshape enzyme conformational flexibility and increase active-site accessibility. This effect generalizes beyond cytochrome c to catalase and carbonic anhydrase. Together, these findings establish SNAs as adaptable, sequence-programmable platforms for enhancing and coordinating biocatalysis and expand their functional scope into enzyme regulation.
Source: JACS Au
Institutions: The University of Texas at Austin, Texas A&M University
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $3,500
Funders: National Science Foundation, David and Lucile Packard Foundation, Welch Foundation, Research Corporation for Science Advancement, Cancer Prevention and Research Institute of Texas, University of Texas at Austin, National Institutes of Health, High Performance Research Computing, Texas A and M University, National Institute of General Medical Sciences, Division of Chemistry
Awards: G1864180564, Chemical Measurements and Imaging Using Novel Functional Nucleic Acids, G4319246179, G4606971921, G5511038955, Targeted Therapeutic Drug Discovery & Development Program, G7600756853, Multiscale Computational Models to Investigate the Role of Phase Separation in Biology, G921166742
OpenAlex ID: W7202170676
