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Record W2083309264 · doi:10.1063/1.2963104

Bioresistive identification of heat shock protein 90

2008· article· en· W2083309264 on OpenAlexaff
Arvind Chandrasekaran, Shanmugasundaram Pakkiriswami, Jian Liang You, Ashwin Acharya, Muthukumaran Packirisamy, Denis P. Maxwell

Bibliographic record

VenueBiomicrofluidics · 2008
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHeat shock proteins research
Canadian institutionsWestern UniversityConcordia University
Fundersnot available
KeywordsHsp90Heat shock proteinAdenosine triphosphateBiosensorBiophysicsChaperone (clinical)Hsp70ChemistryShock (circulatory)MicrofluidicsCell biologyBiochemistryBiologyNanotechnologyMaterials science

Abstract

fetched live from OpenAlex

90 kDa heat shock protein (HSP90) is a ubiquitous molecular chaperone and is one of the abundant proteins present in a cell under normal and stressed conditions. The adenosine triphosphate (ATP) binding region of HSP90 is currently under a great degree of study because of the interest of its role in cancer and protein maintenance; the binding of ATP to HSP90 induces a large conformational change in the protein as a result of the activity of different types of stressors within the cells. In the present paper, a simple microfluidic biosensor is proposed for the characterization of ATP-HSP90 interactions through the principle of bioresistive variation. The experimental results prove that the present biosensor system is highly suitable for the detection of heat shock proteins present in a real-time biological sample, which is very useful for in-situ biomedical applications and rapid pathogenic detections.

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 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 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 score0.018
Threshold uncertainty score0.545

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 head0.021
GPT teacher head0.277
Teacher spread0.256 · 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 teacher head, 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

Citations1
Published2008
Admission routes1
Has abstractyes

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