Structural and Functional Characterization of IclR Transcription Regulators
Bibliographic record
Abstract
This work is a part of a large project in our laboratory that is aimed toward characterization of prokaryotic transcription regulators from different families and their interactions with small-molecule effectors. My study was focused of IclR family of transcriprion regulators, specifically on its founding member Isocytrate Lyase Regulator (IclR) from E.coli and AllR regulator from E.coli, which share 42% sequence identity with IclR. I used a combination of biophysical, biochemical and structural biology techniques to explore the mechanisms by which IclR and AllR interact with their effectors.\nI performed site-directed mutagenesis experiments in order to research the role of individual amino acids in interaction of AllR regulator with its previously identified effector glyoxylate and to test whether oligomerization plays a role in effector-induced signal transduction by AllR. Using differential light scattering, which allows high-throughput screening of small molecules for thermostabilization of proteins, I identified potential effctors for the IclR regulator. The physiological relevance of these candidate molecules was tested in-vitro and in-vivo and their interaction with IclR was characterized by Isothermal Titration Calorimetry and X-ray Crystallography.
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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 | 0.000 |
| 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) | 0.001 | 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 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".