Effects of ssDNA sequences on non‐sequence‐specific protein binding
Bibliographic record
Abstract
The circular dichroism (CD) spectra of single-stranded DNAs (ssDNAs) are significantly perturbed by the binding of single-stranded DNA binding proteins such as the Ff bacteriophage gene 5 protein (g5p) and the A domain of the 70 kDa subunit of human replication protein A (RPA70-A). These two proteins have similar OB-fold secondary structures, although their CD spectra at wavelengths below 250 nm differ greatly. The spectrum of g5p is dominated by a tyrosyl L(a) band at 229 nm, while that of RPA70-A is dominated by its beta secondary structure. Despite differences in their inherent spectral properties, these two proteins similarly perturb the spectra of bound nucleic acid oligomers. CD spectra of free, non-protein-bound ssDNAs are dependent on interactions of the nearest-neighboring nucleotides in the sequence. The CD spectra (per mol of nucleotide) of simple repetitive sequences 48 nucleotides in length and containing simple combinations of A and C are related by nearest-neighbor equations. For example, 3 x Deltaepsilon[d(AAC)(16)] = 3 x Deltaepsilon[d(ACC)(16)] + Deltaepsilon[d(A)(48)] - Deltaepsilon[d(C)(48)]. Moreover, nearest-neighbor equations relate the spectra of ssDNAs when they are bound by g5p, indicating that each type of perturbed nearest neighbor has a similar average structure within the binding site of the protein.
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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) | 0.000 | 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) | 0.004 | 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".