MétaCan
Menu
Back to cohort
Record W2130185698 · doi:10.1021/ar010126g

Structural Proteomics:  Toward High-Throughput Structural Biology as a Tool in Functional Genomics

2003· article· en· W2130185698 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAccounts of Chemical Research · 2003
Typearticle
Languageen
FieldMaterials Science
TopicEnzyme Structure and Function
Canadian institutionsUniversity of TorontoOntario Institute for Cancer Research
FundersNational Institute of General Medical Sciences
KeywordsStructural genomicsProteomicsStructural biologyComputational biologyGenomicsBiologyFunctional genomicsProtein structureSystems biologyProtein functionGenomeBiochemistryGene

Abstract

fetched live from OpenAlex

Structural proteomics is the determination of atomic resolution three-dimensional protein structures on a genome-wide scale in order to better understand the relationship between protein sequence, structure, and function. Here we describe our ongoing structural proteomics project on the nonmembrane proteins of the archeaon, Methanobacterium thermoautotrophicum. This article provides a snapshot of an ongoing pilot project in an emerging area of multidisciplinary research that involves bioinformatics, molecular biology, biochemistry, and instrumental methods such as NMR spectroscopy and X-ray crystallography. An assessment of the technical challenges in this type of large-scale project along with a comparison of the efficiency of sample production for both X-ray crystallography and NMR spectroscopy will be discussed. Examples of new insights into protein function and the relationship between structure and sequence will also be presented.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.089
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.057
GPT teacher head0.348
Teacher spread0.291 · 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