S-SAD, Se-SAD and S/Se-SIRAS using Cu <i>K</i>α radiation: why wait for synchrotron time?
Bibliographic record
Abstract
The structure of Escherichia coli argininosuccinate synthetase (EAS) has been determined using S-SAD, Se-SAD and S/Se-SIRAS data measured with Cu Kalpha radiation. EAS contains 16 methionines and three cysteines in 455 amino acids. At a wavelength of 1.54 A (Cu Kalpha), the native (S-Met) and derivative (Se-Met) proteins yield anomalous signals of approximately 0.86 and 1.6%, respectively. Highly redundant data were measured to 2.0 A from native and derivative EAS crystals. All three structure determinations were carried out in a highly automated manner using SnB and SOLVE/RESOLVE. Despite the minute Bijvoet differences at 1.54 A, the signal was sufficient to determine the heavy-atom substructure and produce high-quality electron-density maps in all three cases. These maps were readily interpretable by the RESOLVE automated building algorithm, which modeled greater than 75% of all three structures. The success of these methods has profound implications for crystallographers experiencing difficulty with heavy-atom incorporation or with limited access to a synchrotron source.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".