NMR Structural Study of TcUBP1, a Single RRM Domain Protein from <i>Trypanosoma cruzi</i>: Contribution of a β Hairpin to RNA Binding<sup>,</sup>
Bibliographic record
Abstract
TcUBP1 is a trypanosome cytoplasmic RNA-binding protein containing a single, conserved RNA-recognition motif (RRM) domain involved in selective destabilization of U-rich mRNAs such as the Trypanosoma cruzi small mucin gene family mRNA, TcSMUG. TcUBP1 binds specific transcripts in vivo and co-localizes in the perinuclear part of the cell with components of the mRNA-stability determinant pathway such as poly(A)-binding protein 1 (PABP1) and TcUBP2, a closely related RRM-containing protein. In TcUBP proteins, the RRM domain is flanked by N-terminal Gln-rich and C-terminal Gly-Gln-rich extensions, which are involved in protein-protein interactions. In this work, we determined the solution structure of the TcUBP1 RRM domain by nuclear magnetic resonance (NMR) spectroscopy. The domain has a characteristic betaalphabetabetaalphabeta fold, consisting of a beta sheet composed of four antiparallel betastrands and two alpha helices packed against one face of the beta sheet. A unique aspect of TcUBP1 is the participation of a beta hairpin (beta4-beta5) in the beta sheet, resulting in an enlarged RNA-binding surface. Detailed analysis of the TcUBP1 interaction with a short single-stranded RNA derived from the 3' UTR of TcSMUG was carried out by titration experiments using both NMR spectroscopy and isothermal titration calorimetry. This analysis revealed that amino acids located within the beta hairpin (beta4-beta5) contribute to complex formation. This enlarged protein-RNA interface could compensate for the lack of additional RNA-binding domains in TcUBP1, as observed in many other RRM-containing proteins. The structure of TcUBP1 reveals new aspects of single RRM-RNA interactions and insight into how N- and C-terminal extensions can contribute to RNA binding.
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 | 0.001 |
| 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".