Molecular Dynamics Simulations of PEI Mediated DNA Aggregation
Bibliographic record
Abstract
Understanding the molecular mechanism of polycation induced DNA aggregation and condensation is important for optimal design of gene delivery carriers. In this work, we performed a series of all-atom molecular dynamics (MD) simulations to investigate polyethylenimine (PEI) mediated DNA aggregation. We found that PEIs condense DNA through two mechanisms: polyion bridging and electrostatic screening of the DNA charges. At PEI/DNA charge ratio >1, PEIs can completely neutralize DNAs at a short distance (∼12 Å from the C1' atoms), and this distance is found to be insensitive to the exact value of the charge ratio. When excess PEIs are added to a formed DNA-PEI aggregate, they are found to bind to the aggregate and increase its cationic charge. The added PEIs can also replace the PEIs previously bound to the aggregate. The excess PEIs, however, do not change the spacing of the DNAs in the aggregates. Our simulation results shed light on the mechanisms of PEI, and more generally polycation, mediated DNA aggregation and condensation.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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 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".