Supramolecular Drug Delivery Systems Based on Host‐Guest Interactions for Nucleic Acid Delivery
Bibliographic record
Abstract
Abstract In bio‐medical field, one of the most challenging hurdles connected with development of therapeutics is the efficient transport and delivery of drugs to the infected cells of human body. Supramolecular chemistry provides innovative designs for effective biological applications such as drug and gene delivery. In various applications of supramolecular chemistry, macrocyclic molecules such as calixarenes, cyclodextrins, cucurbiturils, and pillar arenes serve as ideal hosts that can bind guest molecules based on the electron density and size of their cavities. This review focuses on the recent advancements in major supramolecular systems such as calixarenes (CA), curcurbiturils (CB), cyclodextrins (CD) and pillar[n] arenes (PAs). Owing to their non‐covalent interactions and adaptive capability, these supramolecular‐based nucleic acid delivery systems provide customized treatment options in cancer therapy. These supramolecular carriers are distinct due to their capacity to functionalize and alter their structure in accordance with the required application. The use of such amphiphilic macromolecules as a carrier for gene transfection have been thoroughly investigated leading to advancements in therapeutic research. The aim of this review is to highlight and showcase the endeavours of utilising supramolecular systems in drug/nucleic acid delivery.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".