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Record W4415488989 · doi:10.26508/lsa.202503385

Mapping the structural dynamics of red- and blue-emitting beetle luciferases revealed by HDX-MS

2025· article· en· W4415488989 on OpenAlexaff
Abdul-Rahman Kharbatli, Juliana C. Ferreira, Nathan M. Lui, Rawdah Karwt, Shaolong Zhu, Liaqat Ali, Wael M. Rabeh

Bibliographic record

VenueLife Science Alliance · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
Topicbioluminescence and chemiluminescence research
Canadian institutionsYork University
FundersNew York University Abu Dhabi
KeywordsLuciferasesLuciferaseBioluminescenceSubstrate (aquarium)LuciferinMutantDynamics (music)Active site

Abstract

fetched live from OpenAlex

Beetle luciferases catalyze bioluminescent reactions using identical substrates—luciferin, ATP, and oxygen—yet emit colors ranging from green to red. As the luciferase fold is highly conserved, the structural basis of this spectral diversity remains elusive. Hydrogen/deuterium exchange mass spectrometry (HDX-MS) was used to systematically probe the conformational dynamics of green-emitting Amydetes vivianii luciferase (GB Av ) and red-emitting Phrixothrix hirtus luciferase (RE Ph ), along with their color-shifting mutants, R337L and L334R, respectively. HDX-MS profiling in the apo and ligand-bound states mapped dynamic changes associated with substrate binding and color modulation. RE Ph and the red-shifted R337L GB Av mutant exhibited globally higher dynamics, particularly in N-terminal domain peptides surrounding the active site, than their blue-green-emitting counterparts. Substrate binding reduced deuterium uptake in all enzymes; however, red-emitting forms retained greater flexibility. These findings establish a direct link between structural dynamics and bioluminescence color tuning in beetle luciferases, providing mechanistic insight into spectral control.

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)0.001
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 score0.012
Threshold uncertainty score0.445

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.012
GPT teacher head0.280
Teacher spread0.268 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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