Protein conformational changes studied by diffusion NMR spectroscopy: Application to helix‐loop‐helix calcium binding proteins
Bibliographic record
Abstract
Pulsed-field gradient (PFG) diffusion NMR spectroscopy studies were conducted with several helix-loop-helix regulatory Ca(2+)-binding proteins to characterize the conformational changes associated with Ca(2+)-saturation and/or binding targets. The calmodulin (CaM) system was used as a basis for evaluation, with similar hydrodynamic radii (R(h)) obtained for apo- and Ca(2+)-CaM, consistent with previously reported R(h) data. In addition, conformational changes associated with CaM binding to target peptides from myosin light chain kinase (MLCK), phosphodiesterase (PDE), and simian immunodeficiency virus (SIV) were accurately determined compared with small-angle X-ray scattering results. Both sets of data demonstrate the well-established collapse of the extended Ca(2+)-CaM molecule into a globular complex upon peptide binding. The R(h) of CaM complexes with target peptides from CaM-dependent protein kinase I (CaMKI) and an N-terminal portion of the SIV peptide (SIV-N), as well as the anticancer drug cisplatin were also determined. The CaMKI complex demonstrates a collapse analogous to that observed for MLCK, PDE, and SIV, while the SIV-N shows only a partial collapse. Interestingly, the covalent CaM-cisplatin complex shows a near complete collapse, not expected from previous studies. The method was extended to related calcium binding proteins to show that the R(h) of calcium and integrin binding protein (CIB), calbrain, and the calcium-binding region from soybean calcium-dependent protein kinase (CDPK) decrease on Ca(2+)-binding to various extents. Heteronuclear NMR spectroscopy suggests that for CIB and calbrain this is likely because of shifting the equilibrium from unfolded to folded conformations, with calbrain forming a dimer structure. These results demonstrate the utility of PFG-diffusion NMR to rapidly and accurately screen for molecular size changes on protein-ligand and protein-protein interactions for this class of proteins.
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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 | 0.001 | 0.001 |
| 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 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".