Controlled Peptide Solvation in Portion-Mixing Libraries of FRET Peptides: Improved Specificity Determination for Dengue 2 Virus NS2B-NS3 Protease and Human Cathepsin S
Why this work is in the frame
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Bibliographic record
Abstract
The solubility of peptides in aqueous buffers used for the enzyme assays is a common limitation for all peptide libraries. In principle, the more water-soluble peptides are, the more susceptible they will be to peptidase hydrolysis. We have demonstrated that this bias can be circumvented in a portion-mixing fluorescence resonance energy transfer (FRET) peptide library by introducing k (lysine in the D-form) in both termini of the peptides. This more solvated library and another one without the k were assayed using trypsin and chymotrypsin as standard peptidases with high selectivity for R and K and for hydrophobic F and Y, respectively. Significantly improved consistency of the information on substrate profiles was obtained from the solvated library. The influence of improved solvation on substrate specificity determination was successfully demonstrated by the difference in specificity observed between the two libraries employing the human cathepsin S (accepts acidic, basic, or neutral amino acids at P1 position) and Dengue 2 virus NS2B-NS3 protease (high specificity to the pair of basic amino acids K-R, R-R, or Q-R/K at P2-P1 positions). In conclusion, hydration of the peptides has a major influence on protease processing, and this bias can be reduced in bound peptide libraries, improving reliability.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| 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 it