Fourier transform infrared/vibrational circular dichroism spectroscopy as an informative tool for the investigation of large supramolecular complexes of biological macromolecules
Bibliographic record
Abstract
Abstract A combination of ultraviolet (UV) and infrared (IR) absorption and circular dichroism (CD) spectroscopy was applied to investigate the structure and formation of large supramolecular DNA–protein complexes. This combination of techniques was used to overcome limitations of UV‐CD (electronic, or ECD) spectroscopy due to considerable light scattering in such solutions. Based on the analysis of FTIR and UV‐CD spectra, the interaction of DNA with nonhistone chromatin protein HMGB1 and linker histone H1 was studied. The data obtained showed that under the conditions of the experiment (15 m M NaCl, protein/DNA ratio r < 1 w/w) the proteins did not reveal any AT or GC specificity in binding to DNA. In the presence of both proteins, mainly interactions in the DNA minor groove were observed, which were attributed to HMGB1 binding. Histone H1 facilitated binding of HMGB1 to DNA by interacting with the negatively charged groups of the sugar–phosphate backbone and binding of aspartic and glutamic amino acid residues of HMGB1. Acting together, HMGB1 and H1 stimulated the assemblage of supramolecular DNA–protein structures. The structural organization of the ternary complexes depended not only on the properties of the protein–DNA interactions but also on the interactions between HMGB1 and H1 molecules. © 2005 Wiley Periodicals, Inc. Biopolymers 78: 329–339, 2005 This article was originally published online as an accepted preprint. The “Published Online” date corresponds to the preprint version. You can request a copy of the preprint by emailing the Biopolymers editorial office at biopolymers@wiley.com
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".