Study of DNA Interactions with Steroidal and Nonsteroidal Estrogen–Platinum (II)–Based Anticancer Drugs
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The interactions of the steroidal and nonsteroidal estrogen-platinum (Pt) (II)-based anticancer drugs 16beta-hydroxymethyl-16alpha-[8-(2-pyridin-2-yl-ethylamino)-3,6-dioxaoctyl]-1,3,5(10)-estratrien-3,17betadiol dichloroplatinum (II) (JPM-39), 4-[6-(2'-pyridylethylamino)-butyloxy)-phenyl]-7-methoxy-2,2-dimethyl-3-phenyl-chroman dichloroplatinum (II) (ATG-99), and 1-[(2-aminoethyl)amino]-9,10,10-tris(4-hydroxyphenyl)-9-decene dichloroplatinum (II) (GEB-28) with calf-thymus DNA in vitro using constant DNA concentration and various drug levels were studied. Fourier transform infrared (FTIR) and circular dichroism (CD) were studied with calf-thymus DNA in vitro using constant DNA concentration and various drug levels. FTIR, UV-visible, and CD spectroscopic methods were used to characterize the drug binding mode, the binding constant, and structural variations of DNA in aqueous solution. Spectroscopic evidence showed that the various Pt-based drugs bind indirectly to the major and minor grooves of DNA duplex with some degree of drug-phosphate interaction. The overall binding constants for JPM-39, GEB-28, and ATG-99 are K(JPM-39) = 4.2 (+/-0.75) x 10(3) M(-1), K(GEB-28) = 3.4 (+/-0.65) x 10(3) M(-1), and K(ATG-99) = 2.1 (+/-0.45) x 10(3) M(-1). DNA aggregation occurs at high drug concentration, while DNA remains in the B-family structure.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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