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Record W2167370588 · doi:10.1002/cbic.200900185

Targeting Mitochondria with Organelle‐Specific Compounds: Strategies and Applications

2009· review· en· W2167370588 on OpenAlexaff
Lema F. Yousif, Kelly M. Stewart, Shana O. Kelley

Bibliographic record

VenueChemBioChem · 2009
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMitochondrial Function and Pathology
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMitochondrionOrganelleDrug deliveryDrug discoveryBiologyComputational biologyCell biologyChemistryNanotechnologyBioinformaticsMaterials science

Abstract

fetched live from OpenAlex

Mitochondria are the energy factories of the cell and also serve as a checkpoint regulating programmed cell death. Not surprisingly, dysfunctional mitochondria are implicated in a variety of diseases ranging from metabolic disorders to cancer. Treatment of these diseases through the delivery of targeted drugs, however, is impeded by the difficulty of penetrating the membranes that define this organelle. The properties of this barrier serve as a major obstacle to drug delivery and a lack of effective transporters has hindered the advancement of mitochondrial medicine. Recently, however, synthetic transporters that show promise for the mito-specific delivery of bioactive cargos have begun to emerge. This review summarizes the most exciting of these developments and discusses their applications.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0000.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.004

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 head0.272
Teacher spread0.251 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations325
Published2009
Admission routes1
Has abstractyes

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