Monomer‐to‐dimer transition of <i>Brucella suis</i> type <scp>IV</scp> secretion system component VirB8 induces conformational changes
Bibliographic record
Abstract
Secretion systems are protein complexes essential for bacterial virulence and potential targets for antivirulence drugs. In the intracellular pathogen Brucella suis, a type IV secretion system mediates the translocation of virulence factors into host cells and it is essential for pathogenicity. VirB8 is a core component of the secretion system and dimerization is important for functionality of the protein complex. We set out to study dimerization and possible conformational changes of VirB8 from B. suis (VirB8s) using nuclear magnetic resonance, X‐ray crystallography, and differential scanning fluorimetry. We identified changes of the protein induced by a concentration‐dependent monomer‐to‐dimer transition of the periplasmic domain (VirB8sp). We also show that the presence of the detergent CHAPS alters several signals in the heteronuclear single quantum coherence (HSQC) spectra and some of these chemical shift changes correspond to those observed during monomer–dimer transition. X‐ray analysis of a monomeric variant (VirB8spM102R) demonstrates that significant structural changes occur in the protein's α‐helical regions (α2 and α4). We localized chemical shift changes of residues at the dimer interface as well as to the α1 helix that links this interface to a surface groove that binds dimerization inhibitors. Fragment‐based screening identified small molecules that bind to VirB8sp and two of them have differential binding affinity for wild‐type and the VirB8spM102R variant underlining their different conformations. The observed chemical shift changes suggest conformational changes of VirB8s during monomer–dimer transition that may play a role during secretion system assembly or function and they provide insights into the mechanism of inhibitor action. Database BMRB accession no. 26852 and PDB 5JBS .
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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".