Deactivation of SARS-CoV-2 via Shielding of Spike Glycoprotein Using Carbon Quantum Dots: Bioinformatic Perspective
Bibliographic record
Abstract
The interaction of the spike (S) glycoprotein of SARS-CoV-2 with angiotensin-converting enzyme 2 (ACE2) correlates with increased virus transmissibility and disease severity in humans. Two strategies may be considered for preventive or treatment purposes: the blockage of the ACE2 receptors or the shielding of receptor-binding domains (RBD) in the Sprotein of COVID-19, as well as the S2 cleavage site that is used by the furin enzyme of the host cells in the late phase of virus activation. Herein, the interaction of carbon quantum dots (CQDs) with the Sprotein of SARS-CoV-2 was investigated using molecular docking and molecular dynamics. CQD molecules were optimized by the HF/3-21G level of theory; the probable interactions between the CQDs with Sprotein were studied by blind docking mode, considering the Sprotein as the receptor and CQDs as ligands. Ethanol, folic acid, Favipiravir, two kinds of functionalized triangular hexagonal graphene, and four kinds of functionalized CQDs were studied on a comparative basis. The results show that OH and amine-functionalized CQDs tend to interact with three branches of Sprotein, especially RBD. The fact that they can block the S2 cleavage site leads to their potential use as a therapeutic agent.
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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".