The design of a hyperstable mutant of the Abp1p SH3 domain by sequence alignment analysis
Bibliographic record
Abstract
We have characterized the thermodynamic stability of the SH3 domain from the Saccharomyces cerevisiae Abp1p protein and found it to be relatively low compared to most other SH3 domains, with a Tm of 60 degrees C and a deltaGu of 3.08 kcal/mol. Analysis of a large alignment of SH3 domains led to the identification of atypical residues at eight positions in the wild-type Abp1p SH3 domain sequence that were subsequently replaced by the residue seen most frequently at that position in the alignment. Three of the eight mutants constructed in this way displayed increases in Tm ranging from 8 to 15 degrees C with concomitant increases in deltaGu of up to 1.4 kcal/mol. The effects of these substitutions on folding thermodynamics and kinetics were entirely additive, and a mutant containing all three was dramatically stabilized with a Tm greater than 90 degrees C and a deltaGu more than double that of the wild-type domain. The folding rate of this hyperstable mutant was 10-fold faster than wild-type, while its unfolding rate was fivefold slower. All of the stabilized mutants were still able to bind a target peptide with wild-type affinity. We have analyzed the stabilizing amino acid substitutions isolated in this study and several other similar sequence alignment based studies. In approximately 25% of cases, increased stability can be explained by enhanced propensity of the substituted residue for the local backbone conformation at the mutagenized site.
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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) | 0.000 | 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 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".