Controllable Delivery of Small-Molecule Compounds to Targeted Cells Utilizing Carbon Nanotubes
Bibliographic record
Abstract
Carbon nanotubes (CNTs) have emerged as a new alternative and efficient tool for transporting molecules with biotechnological and biomedical applications, because of their remarkable physicochemical properties. Encapsulation of functional molecules into the hollow chambers of CNTs can not only stabilize encapsulated molecules but also generate new nanodevices. In this work, we have demonstrated that CNTs can function as controllable carriers to transport small-molecule compounds (SMCs) loaded inside their hollow tunnels onto targeted cells. Using indole as model compound, CNTs can protect indole molecules during transportation. Labeling indole-loaded CNTs (indole@CNTs) with EphB4-binding peptides generates cell-homing indole@CNTs (CIDs). CIDs can selectively target EphB4-expressing cells and release indole onto cell surfaces by near-infrared (NIR) irradiation. Released indole molecules exhibit significant cell-killing effects without causing local overheating. This establishes CNTs as excellent near-infrared controllable delivery vehicles for SMCs as selective cell-killing agents.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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 source (direct Gemma or distilled Codex), 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".