MétaCan
Menu
Back to cohort
Record W2090968321 · doi:10.3109/09687688.2011.628954

High-throughput identification of purification conditions leads to preliminary crystallization conditions for three inner membrane proteins

2011· article· en· W2090968321 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

VenueMolecular Membrane Biology · 2011
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicLipid Membrane Structure and Behavior
Canadian institutionsInstitute of Infection and Immunity
FundersBiotechnology and Biological Sciences Research CouncilDiamond Light Source
KeywordsCrystallizationMembrane proteinTransmembrane proteinIntegral membrane proteinProtein purificationProtein crystallizationChromatographyMembraneChemistryDispersityBiochemistryReceptorOrganic chemistry

Abstract

fetched live from OpenAlex

An important factor in the crystallization, and subsequent structural determination, of integral membrane proteins is the ability to produce a stable and monodisperse solution of the protein. Obtaining the correct purification detergent to achieve this can be laborious and is often serendipitous. In this study, high-throughput methods are used to analyze the suitability of eight different detergents on the stability of 12 inner transmembrane proteins from Escherichia coli. The best results obtained from the small-scale experiments were scaled up, the aggregation state of the proteins assessed, and all monodisperse protein solutions entered into crystallization trials. This resulted in preliminary crystallization hits for three inner membrane proteins: XylH, PgpB and YjdL and this study reports the methods, purification procedures and crystallization conditions used to achieve this.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.092
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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

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 head0.018
GPT teacher head0.271
Teacher spread0.253 · 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