Cysteine‐capped gold nanoparticles suppress aggregation of proteins exposed to heat stress
Bibliographic record
Abstract
Gold nanoparticles show a lot of promise as potential agents for drug delivery and disease diagnosis. Because of this, it is important that the interaction between gold nanoparticles and biomolecules be well characterized to avoid undesirable consequences. In this study, gold nanoparticles were synthesized by the reduction of gold salt by sodium borohydride in the presence of cysteine as the capping agent. The physical features of the nanoparticles were analyzed using Ultraviolet-Visible spectrophotometry and transmission electron microscopy. The interaction between gold nanoparticles and the following proteins: bovine serum albumin, citrate synthase, malate dehydrogenase, and human heat shock protein 70 was investigated by UV-Vis spectrophotometry. The stability of the proteins against heat stress was assessed by monitoring their aggregation at 48 °C, either in the presence or absence of gold nanoparticles. The gold nanoparticles were capable of suppressing the heat-induced aggregation of the proteins. Furthermore, apart from possessing independent protein-aggregation suppression function, the AuNPs also augmented the chaperone function of human heat shock protein 70. Findings from this study demonstrate that cyteine-coated gold nanoparticles exhibit chaperone-like activity and have the capability to stabilize proteins to which they may be conjugated.
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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 | 0.000 | 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".