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Record W2055030223 · doi:10.1021/ac048433y

Nonspecific Protein−Carbohydrate Complexes Produced by Nanoelectrospray Ionization. Factors Influencing Their Formation and Stability

2005· article· en· W2055030223 on OpenAlexafffund
Weijie Wang, Elena N. Kitova, John S. Klassen

Bibliographic record

VenueAnalytical Chemistry · 2005
Typearticle
Languageen
FieldChemistry
TopicMass Spectrometry Techniques and Applications
Canadian institutionsUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsChemistryCarbohydrateProtonationGlycylglycineDeprotonationMonomerTetrasaccharideDissociation (chemistry)MoleculeCrystallographyStereochemistryIonOrganic chemistryBiochemistryPolysaccharideAmino acid

Abstract

fetched live from OpenAlex

Factors influencing the formation of nonspecific protein-carbohydrate complexes during the nanoelectrospray (nanoES) process have been investigated. Protonated and deprotonated nonspecific complexes of ubiquitin (Ubq) and protonated complexes of carbonic anhydrase (CA) with carbohydrates, ranging in size from mono- to tetrasaccharide, were produced by nanoES and detected with a Fourier transform ion cyclotron resonance mass spectrometer. Both the fraction of protein engaged in nonspecific binding with the carbohydrates and the number of carbohydrates bound to the protein increase with increasing carbohydrate concentration. At a given concentration of protein and carbohydrate, nonspecific binding is favored for small (mono- and disaccharide) or hydrophilic carbohydrates over larger or more hydrophobic molecules, which tend to form gaseous monomer or cluster ions by nanoES. However, the extent of nonspecific binding is insensitive to the structure of the protein, with similar distributions of nonspecific complexes observed for both CA and Ubq. Nonspecific association is also insensitive to the charge state of the complex. A comparable degree of binding is observed for complexes in their protonated and deprotonated forms. Furthermore, the number of bound ligands can exceed significantly the charge state of the complex. Thermal dissociation experiments performed on the gaseous nonspecific complexes reveal that their kinetic stability is sensitive to both the structure of the carbohydrate (i.e., mono- < di- < tri- < tetrasaccharide) and the protein (Ubq < CA) and to the charge state, although no simple relationship between stability and charge state was identified. Taken together, the results of this study suggest that neutral protein-carbohydrate interactions (e.g., hydrogen bonds) contribute significantly and, perhaps, predominantly to the formation and stabilization of the nonspecific complexes. A strategy to minimize the formation of the nonspecific complexes, which is based on the enhancement of gaseous carbohydrate ion formation through the addition of metal salts (e.g., CaCl2) to the nanoES solution, is demonstrated.

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 categoriesInsufficient payload (model declined to judge)
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 score0.009
Threshold uncertainty score0.999

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)0.0020.000

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 head0.234
Teacher spread0.220 · 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.

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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