Toward the Elucidation of the Structural Determinants Responsible for the Molecular Recognition between Mad1 and Max
Bibliographic record
Abstract
Mad1 is a member of the Mad family. This family is part of the larger Myc/Max/Mad b-HLH-LZ eukaryotic transcription-factor network. Mad1 forms a specific heterodimer with Max and acts as a transcriptional repressor when bound to an E-box sequence (CACGTG) found in the promoter of c-Myc target genes. Mad1 cannot form a complex with DNA by itself under physiological conditions. A global model for the molecular recognition has emerged in which the Mad1 b-HLH-LZ homodimer is destabilized and the Mad/Max b-HLH-LZ heterodimer is favored. The detailed structural determinants responsible for the molecular recognition remain largely unknown. In this study, we focus on the elucidation of the structural determinants responsible for the destabilization of the Mad1 b-HLH-LZ homodimer. Conserved acidic residues at the dimerization interface (position a) of the LZ of all Max-interacting proteins have been hypothesized to be involved in the destabilization of the homodimeric states. In Mad1, this position corresponds to residue Asp 112. As reported for the complete gene product of Mad1, we show that wild-type b-HLH-LZ does not homodimerize or bind DNA under physiological conditions. On the other hand, the single mutation of Asp 112 to an Asn enables the b-HLH-LZ to dimerize and bind DNA. Our results suggest that Asp 112 is implicated in the destabilization of Mad1 b-HLH-LZ homodimer. Interestingly, this side chain is observed to form a salt bridge at the interface of the LZ domain in the crystal structure of Mad1/Max heterodimeric b-HLH-LZ bound to DNA [Nair, S. K., and Burley, S. K. (2003) Cell 112, 193-205]. This clearly suggests that Asp 112 plays a crucial role in the molecular recognition between Max and Mad1.
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 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 | 0.001 |
| 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".