Surface plasmon resonance study of the interaction of 4,4′-dianilino-1,1′-binaphthyl-5,5′-disulfonic acid dipotassium salt (bis-ANS) and adenosine triphosphate (ATP) with oligomeric recombinant human lens αA-crystallin
Bibliographic record
Abstract
α-Crystallin, an abundant mammalian lens protein made up of two subunits (αA- and αB-crystallin), is involved in the maintenance of the optimal refractive index in the lens. The protein is implicated in the pathophysiology of a large number of retinal diseases including cataract, age-related macular degeneration, diabetic retinopathy, and uveitis. α-Crystallin belongs to the small heat shock protein (sHSP) family, forms large oligomeric structures, and functions as a molecular chaperone appearing very early during embryonic development. To gain mechanistic insight into the structural and functional role of α-crystallin and its alterations in various retinal diseases, it is important to study the interaction chemistry with its known partners. The hydrophobic sites in α-crystallin have been studied extensively using environmentally sensitive fluorescent probes such as 4,4′-dianilino-1,1′-binaphthyl-5,5′-disulfonic acid dipotassium salt (bis-ANS) that interacts with both subunits of α-cystallin in 1:1 stoichiometry at 37 °C and diminishes the chaperone-like activity of the protein. Furthermore, it has been shown that ATP plays a crucial role in the association of α-crystallin with substrate proteins. We use surface plasmon resonance (SPR) to monitor the interactions of immobilized oligomeric recombinant αA subunit of human α-crystallin protein with bis-ANS and ATP. We assess the thermodynamic parameters and kinetics of such interactions at various temperatures. Our results indicate that bis-ANS binds to αA-crystallin with higher affinity when compared with ATP, although both αA-crystallin and αB-crystallin display fast interaction kinetics.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".