Determination of Human Ral Guanine Nucleotide Dissociation Stimulator Ras Binding Domain by X-ray Diffraction
Bibliographic record
Abstract
The Ras binding domain( RBD) is a highly conserved domain in the C-terminal region of Ral guanine nucleotide dissociation stimulator( Ral GDS),which functions as cross-linking domain between Ras and Ras-related proteins. Crystallization was setup using in situ proteolysis method of sitting drops with Red Wings and SGC-I screens. Crystals suitable for X-ray diffraction analysis were obtained by mixing equal volumes of the protein solution and the reservoir solution [2 mol / L( NH4)2SO4,0. 2 mol/L Na Ac,0. 1 mol / L N-hydroxyethyl piperazine ethanesulfonic acid( HEPES),5% 1,3-methyl-propanediol( MPD),p H 7. 5] with 1 ∶ 100( w / w) endoproteinase Glu-C. The differences of Ras-interacting regions between the mouse and human Ral GDS-RBD were revealed by X-ray diffraction analysis and the results showed that the differences were mainly on the C-terminal of Ras-interacting region. Glu838 and Glu840amino acid residues of human Ral GDS-RBD involve in the formation of hydrogen bonds between Ral GDS and Ras proteins,whereas at the same positions of mouse Ral GDS-RBD,hydrogen bonds form through Asp820 and Asp822. The overall structure of human Ral GDS-RBD adopts an ubiquitin-like conformation,which is characterized by a ββαββαβ-type tertiary structure,and the C-terminal residues of one monomer form parallel β-sheet interaction with theβ-strand of another molecule.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".