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Record W2903867546 · doi:10.1002/anie.201812231

Surface Attachment Enhances the Thermodynamic Stability of Protein L

2018· article· en· W2903867546 on OpenAlexfundno aff
Gabriel Ortega, Martin Kurnik, Philippe Dauphin‐Ducharme, Hui Li, Netzahualcóyotl Arroyo‐Currás, Amanda Caceres, Kevin W. Plaxco

Bibliographic record

VenueAngewandte Chemie International Edition · 2018
Typearticle
Languageen
FieldEngineering
TopicMolecular Junctions and Nanostructures
Canadian institutionsnot available
FundersNational Institute of Biomedical Imaging and BioengineeringNational Institute of General Medical SciencesNatural Sciences and Engineering Research Council of CanadaEusko JaurlaritzaSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungFoundation for the National Institutes of Health
KeywordsChemistrySurface proteinMonolayerProtein stabilityGuanidineDenaturation (fissile materials)Protein foldingChemical physicsFolding (DSP implementation)ElectrostaticsChemical stabilitySurface energyBiophysicsThermodynamicsCrystallographyPhysical chemistryBiochemistryOrganic chemistryPhysicsBiology

Abstract

fetched live from OpenAlex

Abstract Despite the importance of protein–surface interactions in both biology and biotechnology, our understanding of their origins is limited due to a paucity of experimental studies of the thermodynamics behind such interactions. In response, we have characterized the extent to which interaction with a chemically well‐defined macroscopic surface alters the stability of protein L. To do so, we site‐specifically attached a redox‐reporter‐modified protein variant to a hydroxy‐terminated monolayer on a gold surface and then used electrochemistry to monitor its guanidine denaturation and determine its folding free energy. Comparison with the free energy seen in solution indicates that interaction with this surface stabilizes the protein by 6 kJ mol −1 , a value that is in good agreement with theoretical estimates of the entropic consequences of surface‐induced excluded volume effects, thus suggesting that chemically specific interactions with this surface (e.g., electrostatic interactions) are limited in magnitude.

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 score0.020
Threshold uncertainty score0.636

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)0.0010.000

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 head0.009
GPT teacher head0.239
Teacher spread0.229 · 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

Citations10
Published2018
Admission routes1
Has abstractyes

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