Binding of hydroxycitrate to human ATP-citrate lyase
Bibliographic record
Abstract
Hydroxycitrate from the fruit ofGarcinia cambogia[i.e.(2S,3S)-2-hydroxycitrate] is the best-known inhibitor of ATP-citrate lyase. Well diffracting crystals showing how the inhibitor binds to human ATP-citrate lyase were grown by modifying the protein. The protein was modified by introducing cleavage sites forTobacco etch virusprotease on either side of a disordered linker. The protein crystallized consisted of residues 2–425-ENLYFQ and S-488–810 of human ATP-citrate lyase. (2S,3S)-2-Hydroxycitrate binds in the same orientation as citrate, but the citrate-binding domain (residues 248–421) adopts a different orientation with respect to the rest of the protein (residues 4–247, 490–746 and 748–809) from that previously seen. For the first time, electron density was evident for the loop that contains His760, which is phosphorylated as part of the catalytic mechanism. The pro-Scarboxylate of (2S,3S)-2-hydroxycitrate is available to accept a phosphoryl group from His760. However, when co-crystals were grown with ATP and magnesium ions as well as either the inhibitor or citrate, Mg2+-ADP was bound and His760 was phosphorylated. The phosphoryl group was not transferred to the organic acid. This led to the interpretation that the active site is trapped in an open conformation. The strategy of designing cleavage sites to remove disordered residues could be useful in determining the crystal structures of other proteins.
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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 | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".