Thermochemistry of Protein−DNA Interaction Studied with Temperature-Controlled Nonequilibrium Capillary Electrophoresis of Equilibrium Mixtures
Bibliographic record
Abstract
We introduce temperature-controlled nonequilibrium capillary electrophoresis of equilibrium mixtures (NECEEM) and demonstrate its use to study thermochemistry of protein-DNA interactions. Being a homogeneous kinetic method, temperature-controlled NECEEM uniquely allows finding temperature dependencies of equilibrium and kinetic parameters of complex formation without the immobilization of the interacting molecules on the surface of a solid substrate. In this work, we applied temperature-controlled NECEEM to study the thermochemistry of two protein-DNA pairs: (i) Taq DNA polymerase with its DNA aptamer and (ii) E. coli single-stranded DNA binding protein with a 20-base-long single-stranded DNA. We determined temperature dependencies of three parameters: the equilibrium binding constant (Kb), the rate constant of complex dissociation (k(off)), and the rate constant of complex formation (k(on)). The Kb(T) functions for both protein-DNA pairs had phase-transition-like points suggesting temperature-dependent conformational changes in structures of the interacting macromolecules. Temperature dependencies of k(on) and k(off) provided insights into how the conformational changes affected two opposite processes: binding and dissociation. Finally, thermodynamic parameters, DeltaH and DeltaS, for complex formation were found for different conformations. With its unique features and potential applicability to other macromolecular interactions, temperature-controlled NECEEM establishes a valuable addition to the arsenal of analytical methods used to study dynamic molecular complexes.
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.
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) | 0.001 | 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".