Adsorption of an Ionic Complementary Peptide on the Hydrophobic Graphite Surface
Bibliographic record
Abstract
Protein adsorption plays a crucial role in bioactive implant devices and drug delivery materials design. Ionic complementary peptides are novel nanobiomaterials with many biomedical applications. In this work, molecular dynamics simulations of the ionic complementary peptide EAK16-II on the hydrophobic HOPG surface were performed. The adsorption and initial assembly process of EAK16-II on the surface were revealed. Hydrophobic alanine residues are found to be energetically favorable when in contact with the HOPG surface. It is the hydrophobic interaction that drives the adsorption of the first peptide molecule. Both hydrophobic and electrostatic interactions contribute to the adsorption of the second peptide molecule. The effect of hydrogen bonding is found to be less significant in the adsorption. The adsorption of the peptide on the HOPG surface is stable. These results provide a basis for understanding the fundamentals of peptide adsorption on the surface, which is critical for peptide applications in biotechnology and nanotechnology.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 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 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".