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Record W2122930401 · doi:10.1091/mbc.e05-03-0187

Functions of the Small Proteins in the TOM Complex of <i>Neurospora crasssa</i>

2005· article· en· W2122930401 on OpenAlexafffund
E. L. Sherman, Nancy E. Go, Frank E. Nargang

Bibliographic record

VenueMolecular Biology of the Cell · 2005
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMitochondrial Function and Pathology
Canadian institutionsUniversity of Alberta
FundersCanadian Institutes of Health Research
KeywordsBiologyNeurospora crassaMutantCell biologyOrganelleMitochondrionCrassaTranslocaseTranslocase of the outer membraneInner mitochondrial membraneGeneticsMitochondrial membrane transport proteinGene

Abstract

fetched live from OpenAlex

The TOM (translocase of the outer mitochondrial membrane) complex of the outer mitochondrial membrane is required for the import of proteins into the organelle. The core TOM complex contains five proteins, including three small components Tom7, Tom6, and Tom5. We have created single and double mutants of all combinations of the three small Tom proteins of Neurospora crassa. Analysis of the mutants revealed that Tom6 plays a major role in TOM complex stability, whereas Tom7 has a lesser role. Mutants lacking both Tom6 and Tom7 have an extremely labile TOM complex and are the only class of mutant to exhibit an altered growth phenotype. Although single mutants lacking N. crassa Tom5 have no apparent TOM complex abnormalities, studies of double mutants lacking Tom5 suggest that it also has a minor role in maintaining TOM complex stability. Our inability to isolate triple mutants supports the idea that the three proteins have overlapping functions. Mitochondria lacking either Tom6 or Tom7 are differentially affected in their ability to import different precursor proteins into the organelle, suggesting that they may play roles in the sorting of proteins to different mitochondrial subcompartments. Newly imported Tom40 was readily assembled into the TOM complex in mitochondria lacking any of the small Tom proteins.

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 score0.029
Threshold uncertainty score0.284

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 science0.0010.000
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 head0.014
GPT teacher head0.230
Teacher spread0.216 · 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

Citations67
Published2005
Admission routes2
Has abstractyes

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