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Record W2131524437 · doi:10.1002/bit.20084

In vitro and in vivo enzyme studies of polyhemoglobin‐tyrosinase

2004· article· en· W2131524437 on OpenAlexaff
Binglan Yu, T. M. S. Chang

Bibliographic record

VenueBiotechnology and Bioengineering · 2004
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
Topicmelanin and skin pigmentation
Canadian institutionsMcGill University
Fundersnot available
KeywordsTyrosinaseTyrosineIn vivoEnzymeIn vitroChemistryMelanomaBiochemistryBiologyCancer researchBiotechnology

Abstract

fetched live from OpenAlex

Melanoma is now the fifth most common type of cancer in North America. At present, there is no optimal treatment for this cancer. However, the lowering of the tyrosine level can inhibit the growth of melanoma. Unfortunately, this diet restriction cannot be humanly tolerated and causes vomiting, nausea, and severe body weight loss. To prevent these problems, we are studying a new approach involving the preparation intermolecularly crosslinked hemoglobin and tyrosinase for intravenous injection. In this article we describe the method of preparation and the structural and functional properties of polyhemoglobin-tyrosinase. We evaluate the effects of varying glutaraldehyde ratio, crosslinking time, and enzyme concentration on the enzyme activity of polyhemoglobin-tyrosinase. We also optimize the molecular weight distribution of polyhemoglobin-tyrosinase. The stability of polyhemoglobin-tyrosinase at 37 degrees C is much more stable when compared to noncrosslinked tyrosinase solution. Animal studies show that a higher degree of polymerization correlates with a longer circulation time of polyhemoglobin-tyrosinase, and the optimal crosslinking time is 24 hours. One intravenous injection of polyhemoglobin-tyrosinase lowers the plasma tyrosine to about 10% of its original level within one hour.

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 score0.004
Threshold uncertainty score0.288

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 head0.008
GPT teacher head0.244
Teacher spread0.236 · 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

Citations8
Published2004
Admission routes1
Has abstractyes

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