Thermodynamic Characterization of the Interaction between a Peptide–Drug Complex and Serum Proteins
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The interaction between a peptide-based drug delivery system and two serum proteins, bovine serum albumin (BSA) and immunoglobulin G (IgG), is investigated using fluorescence quenching and calorimetric techniques. An ionic-complementary self/co-assembling peptide, EAR8-II, is employed to encapsulate the hydrophobic anticancer drug pirarubicin (THP) and stabilize it in protein environments. Self/co-assembling properties of the peptide-drug complex (EAR8-II-THP) are shown to be different while interacting with serum proteins compared with the properties of the isolated complex. The results from thermodynamic studies suggest that the drug delivery system has a strong binding affinity (K(SV) 1689 M(-1)), exothermic and enthalpy-driven interaction, with BSA and a relatively weak affinity with IgG (K(SV) 295.2 M(-1)). In the presence of salt ions, the enthalpy and binding affinity remain unchanged, implying other interactions such as hydrogen bonding and Van der Waals interactions are present that are not affected by reduced polarity. This work forms the basis for further studies of EAR8-II-THP complexes in the presence of important proteins and for further evaluation of the complexes' immune response and anticancer activity.
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.
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 it