Impedance Method for Detecting HIV-1 Protease and Screening For Its Inhibitors Using Ferrocene−Peptide Conjugate/Au Nanoparticle/Single-Walled Carbon Nanotube Modified Electrode
Bibliographic record
Abstract
A highly sensitive screening assay based on electrochemical impedance spectroscopy (EIS) has been developed for detecting HIV-1 protease (PR) and subsequent evaluation of its corresponding inhibitors at picomolar levels. The assay format was based on the immobilization of the thiol terminated ferrocene(Fc)-pepstatin conjugate on a single-walled carbon nanotube/gold nanoparticle (SWCNT/AuNP) modified gold electrode. The alteration of the interfacial properties of electrodes upon HIV-1 PR and Fc-pepstatin conjugate interaction was traced by EIS. On the basis of the charge transfer resistance data obtained and using a mixed kinetic and diffusion model, this procedure was capable of detecting picomolar HIV-1 PR owing to the specific binding of this enzyme to Fc modified pepstatin. A competitive inhibition assay format was then performed using four potent HIV-1 PR inhibitors. The estimated inhibition constant ( K i) attested that lopinavir/ritonavir ( K i = 20 +/- 3 pM) and saquinavir ( K i = 57 +/- 8 pM) even at 10 pM competed strongly with pepstatin for effective binding to HIV-1 PR. Indinavir ( K i = 630 +/- 22 pM) only competed well with pepstatin at a much higher concentration (1 nM). No significant inhibitory effect was observed for the fosamprenavir ( K i =11 +/- 0.5 nM) as expected from this pro-drug. Such results agreed well with the values reported in the literature. This assay format is a definite asset for the expedited development of effective HIV-1 PR inhibitors with low molecular weights.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".