Entropic Fragment‐Based Approach to Aptamer Design
Why this work is in the frame
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Bibliographic record
Abstract
Aptamers are short RNA/DNA sequences that are identified through the process of systematic evolution of ligands by exponential enrichment and that bind to diverse biomolecular targets. Aptamers have strong and specific binding through molecular recognition and are promising tools in studying molecular biology. They are recognized as having potential therapeutic and diagnostic clinical applications. The success of the systematic evolution of ligands by exponential enrichment process requires that the RNA/DNA pools used in the process have a sufficient level of sequence diversity and structural complexity. While the systematic evolution of ligands by exponential enrichment technology is well developed, it remains a challenge in the efficient identification of correct aptamers. In this article, we propose a novel information-driven approach to a theoretical design of aptamer templates based solely on the knowledge regarding the biomolecular target structures. We have investigated both theoretically and experimentally the applicability of the proposed approach by considering two specific targets: the serum protein thrombin and the cell membrane phospholipid phosphatidylserine. Both of these case studies support our method and indicate a promising advancement in theoretical aptamer design. In unfavorable cases where the designed sequences show weak binding affinity, these template sequences can be still modified to enhance their affinities without going through the systematic evolution of ligands by exponential enrichment process.
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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 | 0.000 | 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 it