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Record W2078944494 · doi:10.1074/jbc.m405792200

The Long and Short Flavodoxins

2004· article· en· W2078944494 on OpenAlexfundno aff
Jon López-Llano, Susana Maldonado, Marta Bueno, Anabel Lostao, M. Ángeles Jiménez, M. Pilar Lillo, Javier Sancho

Bibliographic record

VenueJournal of Biological Chemistry · 2004
Typearticle
Languageen
FieldMaterials Science
TopicEnzyme Structure and Function
Canadian institutionsnot available
FundersAssociation of Canadian Universities for Northern Studies
KeywordsFlavodoxinCrystallographyChemistryLoop (graph theory)Electron transferStereochemistryBiophysicsBiologyBiochemistryFerredoxinMathematicsCombinatorics

Abstract

fetched live from OpenAlex

Flavodoxins are well known one-domain alpha/beta electron-transfer proteins that, according to the presence or absence of a approximately 20-residue loop splitting the fifth beta-strand of the central beta-sheet, have been classified in two groups: long and short-chain flavodoxins, respectively. Although the flavodoxins have been extensively used as models to study electron transfer, ligand binding, protein stability and folding issues, the role of the loop has not been investigated. We have constructed two shortened versions of the long-chain Anabaena flavodoxin in which the split beta-strand has been spliced to remove the original loop. The two variants have been carefully analyzed using various spectroscopic and hydrodynamic criteria, and one of them is clearly well folded, indicating that the long loop is a peripheral element of the structure of long flavodoxins. However, the removal of the loop (which is not in contact with the cofactor in the native structure) markedly decreases the affinity of the apoflavodoxin-FMN complex. This seems related to the fact that, in long flavodoxins, the adjacent tyrosine-bearing FMN binding loop (which is longer and thus more flexible than in short flavodoxins) is stabilized in its competent conformation by interactions with the excised loop. The modest role played by the long loop of long flavodoxins in the structure of these proteins (and in its conformational stability, see Lopez-Llano, J., Maldonado, S., Jain, S., Lostao, A., Godoy-Ruiz, R., Sanchez-Ruiz, Cortijo, M., Fernandez-Recio, J., and Sancho, J. (2004) J. Biol. Chem. 279, 47184-47191) opens the possibility that its conservation in so many species is related to a functional role yet to be discovered. In this respect, we discuss the possibility that the long loop is involved in the recognition of some flavodoxin partners. In addition, we report on a structural feature of flavodoxins that could indicate that the short flavodoxins derive from the long ones.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.017
GPT teacher head0.243
Teacher spread0.225 · 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 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

Citations42
Published2004
Admission routes1
Has abstractyes

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