Additional file 1 of Alkylated EDTA potentiates antibacterial photodynamic activity of protoporphyrin
Bibliographic record
Abstract
Additional file 1: Figure S1. Molecular mass determination of 2a: calculated for C18H33N3O7: 403.23; found: 402.20 [M-H]-. Figure S2. Molecular mass determination of 2b: calculated for C22H41N3O7: 459.29; found: 458.30 [M-H]-. Figure S3. Molecular mass determination of 2c: calculated for C24H45N3O7: 487.33; found: 486.30 [M-H]-. Figure S4. Molecular mass determination of 2 day: calculated for C25H47N3O7: 501.34; found: 500.40 [M-H]-. Figure S5. Molecular mass determination of 2e: calculated for C26H49N3O7: 515.36; found: 514.40 [M-H]-. Figure S6. Molecular mass determination of 2e: calculated for C28H53N3O7: 543.39; found: 542.40 [M-H]-. Figure S7. The wavelength spectrum of the LED illuminator. Figure S8. aEDTA improved PDT efficacy of PpIX (8.89 μM) in eliminating planktonic S. aureus. Figure S9. aEDTA improved PDT efficacy of PpIX (177.73 μM) in eliminating planktonic S. aureus. Figure S10. Bacterial viability after different treatments. Figure S11. ICP (Inductive Coupled Plasma Emission Spectrometer) analyzing the element content of Wang-EDTA after culturing with S. aureus overnight. Figure S12. In vivo therapeutic effects of PpIX (177.73 μM) with a series of different chain lengths of alkylated EDTA combinations on the wound healing model. Figure S13. Bacteria amount at the ulcer lesions after different treatments (PpIX: 177.73 μM) evaluated by the plate counting assay. Figure S14. The bond length and bond angle distributions of the final model. Figure S15. The force-field parameter of the all-atom and coarse –grained models.
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 | 0.001 |
| 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) | 0.991 | 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".