Binding of nucleobases with graphene and carbon nanotube: a review of computational studies
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Functionalized carbon nanotubes (CNTs) constitute a new class of nanostructured materials that have vast applications in CNT purification and separation, biosensing, drug delivery, etc. Hybrids formed from the functionalization of CNT with biological molecules have shown interesting properties and have attracted great attention in recent years. Of particular interest is the hybridization of single- or double-stranded nucleic acid (NA) with CNT. Nucleobases, as the building blocks of NA, interact with CNT and contribute strongly to the stability of the NA-CNT hybrids and their properties. In this work, we present a thorough review of previous studies on the binding of nucleobases with graphene and CNT, with a focus on the simulation works that attempted to evaluate the structure and strength of binding. Discrepancies among these works are identified, and factors that might contribute to such discrepancies are discussed.
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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) | 0.002 | 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 it