3‘Sulfogalactolipid Binding Specifically Inhibits Hsp70 ATPase Activity in Vitro
Bibliographic record
Abstract
A method for the generation of soluble glycosphingolipid derivatives that retain the receptor activity of the parent (BBRC 257:391-394, Carb Res 335:91-100) was used to investigate the consequence of 3'sulfogalactolipid (SGL) specific binding within the N-terminal ATPase-containing domain of Hsc70. Sulfogalactosyl ceramide (SGC) was deacylated, and the resulting sulfogalactosylsphingosine coupled to an alpha-adamantane or a norbornane rigid hydrophobic frame. The resulting conjugate preferentially partitioned into water, as opposed to organic solvent. In the range of 100-300 microM, these conjugates inhibited the specific binding of bovine brain Hsc70 to immobilized SGLs. A similar dose-related inhibition of bovine brain Hsc70 ATPase activity was seen between 100 and 300 microM adamantylSGC (adaSGC). Adamantyl conjugates of glycolipids not bound by Hsp70s had no effect. Kinetic analysis indicated that adaSGC was a noncompetitive inhibitor of Hsc70 ATPase activity, a special case of mixed inhibition since the K(m) values were not statistically different, 0.89 +/- 0.024 microM to 0.93 +/- 0.038 microM, but the V(max) decreased from 0.20 +/- 0.012 pmol min(-1) microg(-1) to 0.15 +/- 0.016 pmol min(-1) microg(-1). A reproducible 5 min lag was observed prior to ATPase inhibition that could be eliminated by preincubation of adaSGC with Hsc70 or by adding the cochaperone Hdj-1. The dependence of ATPase inhibition on the rate of hydrolysis indicates that adaSGC binding occurs at a specific stage of the ATPase cycle. These studies identify a new mechanism for the regulation of Hsp70 ATPase activity.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| 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 | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".