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Record W4233477112 · doi:10.1002/qua.560280710

A quantum mechanical investigation into the fine specificity of the antibodies to soman, BE2, and CC1

2009· article· en· W4233477112 on OpenAlexaff
Barbara A. B. Seiders, Alan A. Brimfield, Kenneth W. Hunter, Michael C. Zerner, George D. Purvism, W. Daniel Edwards

Bibliographic record

VenueInternational Journal of Quantum Chemistry · 2009
Typearticle
Languageen
FieldMedicine
TopicMonoclonal and Polyclonal Antibodies Research
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsSomanChemistryComputational chemistryQuantumQuantum chemicalAntibodyBasis setChemical physicsMoleculeNanotechnologyDensity functional theoryMaterials scienceOrganic chemistryPhysicsQuantum mechanicsBiologyImmunology

Abstract

fetched live from OpenAlex

Quantum chemical calculations characterizing model soman compounds describe well their gross stereoelectronic properties, and may provide the beginning of an explanation for the molecular basis for the action of compounds related to soman on the antisoman antibodies BE2 and CC1. The antibody BE2 may recognize a different region of the antigen than CC1, possess a more flexible active site, and be able to deform more in order to obtain enhanced interaction with a challenge compound. This hypothesis can serve as a first guiding step in the eventual investigation of the complete sample set to determine which molecular properties correlate with interaction of the compounds with the antibodies BE2 and CC1.

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)0.001
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 score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.028
GPT teacher head0.323
Teacher spread0.295 · 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
Published2009
Admission routes1
Has abstractyes

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