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Record W4360825598 · doi:10.1117/12.2669858

Research on the 6XS6 of the SARS-CoV-2 spike protein

2023· article· en· W4360825598 on OpenAlexaff
Liyuan Liu

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEnvironmental Science
TopicBacteriophages and microbial interactions
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsGlycoproteinMutationCoronavirusProtein structureProtein domainChemistryDisulfide bondComputational biologyBiophysicsBiologyBiochemistryCoronavirus disease 2019 (COVID-19)Gene

Abstract

fetched live from OpenAlex

The 6XS6 is the structure of the SARS-CoV-2 spike protein. The physiological role of the spike protein is relative to the respiratory syndrome coronavirus and has a stronger infect on the human body than the ancestor virus. The purification of the 6XS6 is in the homo sapiens cell by the affinity chromatography, PBS supplemented and Size Exclusion chromatography. At last, using the Cryo-Electron Microscopy to see the structure. This paper is using the D614G mutation to illustrate the structure of the 6XS6. The N-terminal domain and C-terminal domain of the 6XS6 protein are ALA27 and VAL1137. Furthermore, the mutation doesn’t have the hydrogen bond because the Asp614 is substituted by the Gly614, and the molecule that interacts with the Ala 647 may occur. While the 6XS6 structure has lots of noncovalent and disulfide bonds. Comparing the structure of the 6XS6 and 6VXX, both are glycoproteins, have three monomers, have two subunits, and have the same category of expression and classification. The different conformations of the two structures can affect the binding ability with the ACE2. This paper can help the researchers to further understand the structure and function of the 6XS6 which can be used in future experiments.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.115
GPT teacher head0.370
Teacher spread0.255 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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