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Record W3120318681

Investigating amino acid contribution to mOrange and mStrawberry spectra

2017· article· en· W3120318681 on OpenAlexaff
Kyle Poffenroth, Evans Eshrew, Jennifer Flood, Shae Konschuh, Stephanie Rothwell, Maryam Yaqoob, David A. Bird

Bibliographic record

VenueURSCA Proceedings · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAdvanced Fluorescence Microscopy Techniques
Canadian institutionsMount Royal University
Fundersnot available
KeywordsChromophoreFluorescenceAmino acidSerineGlutamineBiophysicsBiochemistryThreonineGreen fluorescent proteinChemistryFusion proteinProtein–protein interactionMutagenesisBiologyMutationPhosphorylationRecombinant DNA
DOInot available

Abstract

fetched live from OpenAlex

Fluorescent proteins (FP) contain a unique fluorochrome, usually composed of 3 amino acids, which can absorb and emit light. FPs are widely used in cell biology by fusing them with target proteins and imaging the chimeric protein using fluorescence microscopy. Thus, FPs allow biologists to monitor cellular processes in vivo, for example, visualizing cytoskeletal components or track moving proteins and/or organelles. Directed evolution of fluorescence proteins has created a variety of colors, allowing multiple cellular components to be distinguished simultaneously within the same cell. While mOrange has a lower wavelength emission compared to dsRED, mStrawberry has a higher wavelength. There are seven amino acid differences between these FP variants, some of which are believed to be directly responsible for the change in emission, while the contribution of others is less clear. This project investigates contributions two of these residues found at position 62 and 213. Using site-directed mutagenesis was used to change glutamine at position 213 to leucine (Q213L) and serine at position 62 to threonine (S62T). Residue 62 lies within the chromophore of mOrange, thus changing the amino acid here will directly alter the chromophore. We predict that Q213L will alter the microenvironment near the fluorochrome due to its proximity to it (within 5 A). We expect the net result to be a red-shift of mOrange towards mStrawberry. Research in this area can provide new information about how these proteins produce chromophores and the effects of the microenvironment within the protein on the fluorochrome. * Indicates faculty mentor.

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 score0.041
Threshold uncertainty score0.622

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 head0.011
GPT teacher head0.287
Teacher spread0.276 · 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
Published2017
Admission routes1
Has abstractyes

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