Recent Advances in Biological Strategies for Targeted Drug Delivery
Bibliographic record
Abstract
Targeted drug delivery system, consisting of a guidance component, a transport vehicle and the drug, is aiming at distributing the drugs to a specific organ or cell type in a sufficient concentration to achieve the high efficiency and alleviate the side-effects of the drugs. During the past decade, besides physical and chemical methods, biological strategies have been developing at an amazing speed improving the drug targeting system. These include: i) searching for guidance components, which include integrin ligands, extracellular matrix proteins, carbohydrates, vitamins, antibodies, nucleic acid aptamers and peptides, leading the whole system to the targeting sites; ii) development of the transport vehicles, such as polymers and plasmid/virus vectors that play the role in carrying drugs and protecting them on their way to the destination; and iii) the design or selection of an effective drug, the "final bullet" that functions on the targeting site, to test the efficiency of the system. Here, we briefly review the recent advances on the development of the most essential targeted drug delivery systems and strategies, and particularly focusing on the progress in discovery of the ligand components and construction of carrying vehicles for drug targeted delivery systems. In addition, we briefly discuss the prospect of this field.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.006 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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; both teacher heads agree on what is shown here.
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".