Polyvalent Spherical Nucleic Acids for Universal Display of Functional DNA with Ultrahigh Stability
Bibliographic record
Abstract
For nanomaterials that are difficult to functionalize by covalent attachment of DNA, we herein communicate a general method taking advantage of the high avidity of polyvalent binding and the 3D structure of densely functionalized spherical nucleic acids (SNAs). Using DNA-functionalized gold nanoparticles, simple mixing leads to the formation of highly stable conjugates on 11 different materials including metals, metal oxides, metal-organic frameworks, transition-metal dichalcogenides, nanocarbons, and polymers. The adsorption affinity of SNAs can be over thousand-fold higher than that of free DNA of the same sequence, and practically irreversible conjugates are formed withstanding various denaturing agents. The surface attachment and molecular recognition functions of DNA are spatially separated, showing a key advantage of SNAs. The functionalized materials possess the properties of both the substrate and the SNA, allowing specific DNA hybridization in buffer and in serum.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".