In silico identification of RBD subdomain of spike protein from Pro322-Thr581 for applications in vaccine development against SARS-CoV2
Bibliographic record
Abstract
The three-dimensional hybrid structures of coronavirus spike proteins including the C-terminal sequence and receptor binding motif (RBM) was remodeled and energy minimized. Further, protein-protein docking show that Receptor Binding Domain (RBD) of SARS-CoV 2 Lys457-Pro490 bind on the surface of ACE2 receptor near N-terminal helices to form host-pathogen attachment. In this binding interface, SARS-CoV 2 shows a tight network of hydrogen bonds than other spike proteins from BtRsRaTG13-CoV, SARS-CoV, BtRsBeta-CoV, BtRsCoV-related, Pangolin-CoV (PCoV), human-CoV (hCoV), MERS-CoV (MCoV), Avian-CoV (ACoV) and PEDV1-CoV. Further studies show that subdomains from SARS-CoV 2 RBD Pro322-Thr581, SARS-CoV RBD Pro309-Pro575, BtRsRaTG13 RBD Thr581-Thr323, BtRsBeta-CoV RBD Ser311-Thr568, BtRsCoV-related Arg306-Pro575 and PCoV RBD Gln319-Ser589 show binding conformations with ACE2 like their full-length structures of spike proteins. In addition, the subdomains MCoV RBD Gly372-Val616, ACoV RBD Gly372-Val616 and PEDV1-CoV RBD Ala315-Tyr675 also binds on the surface of ACE2 similar to their full-length spike proteins. The B-Cell epitope mapping also identified main antigenic determinants predicting that these nine subdomains are highly useful in recombinant vaccine development in inducing cross neutralizing antibodies against SARS-CoV 2 spike protein and inhibits its attachment with ACE2.
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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 | 0.001 |
| 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".