Truncated Human ATP-Specific Succinyl-CoA Synthetase
Bibliographic record
Abstract
Two isoforms of the heterodimeric enzyme succinyl-CoA synthetase (SCS) exist in the mitochondria of humans. One is specific for ATP, while the other is specific for GTP. Both catalyze the reversible reaction: succinate + CoA + NTP ⇌ succinyl-CoA + NDP + Pi, where N denotes adenosine or guanosine. SCS is best known as an enzyme of the citric acid cycle where the reaction generates NTP. In the reverse direction, SCS replenishes succinyl-CoA required for the catabolism of ketone bodies and for heme synthesis. Nucleotide-specific forms are thought to be required for SCS to serve its different metabolic roles. The nucleotide specificity lies in the β-subunit [1], and the β-subunit of human ATP-specific SCS has been shown to interact with the C-terminus of erythroid-specific aminolevulinic acid synthase (ALAS2) [2]. ALAS2 catalyzes the committed step in heme synthesis: succinyl-CoA + Gly ⇌ 5-aminolevulinate + CoA + CO2. An interaction between SCS and ALAS2 makes biological sense, since this could provide channeling of succinyl-CoA from SCS to ALAS2. We hypothesize that the interaction is with the carboxy-terminus of the β-subunit of ATP-specific SCS because sequence comparisons show that the β-subunit of ATP-specific SCS has a carboxy-terminal extension when compared to other SCSs' β-subunits. To test this hypothesis, we added a carboxy-terminal His8-tag to the α-subunit of human ATP-specific SCS and mutated the codon for Thr 396β to a stop codon. This truncated version of human ATP-specific SCS has been produced in E. coli and purified. As well as testing to see if truncated human ATP-specific SCS interacts with ALAS2, we are using the truncated version in crystallization trials. Crystals of full-length human ATP-specific SCS diffract to only 3.2 Å and our goal is to obtain better-diffracting crystals of the complex of ATP with truncated human ATP-specific SCS.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.003 |
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".