The Dictyostelium class I myosin, MyoD, contains a novel light chain that lacks high-affinity calcium-binding sites
Bibliographic record
Abstract
Dictyostelium discoideum MyoD, a long-tailed class I myosin, co-purified with two copies of a 16 kDa light chain. Sequence analysis of the MyoD light chain showed it to be a unique protein, termed MlcD, that shares 44% sequence identity with Dictyostelium calmodulin and 43% sequence identity with Acanthamoeba castellanii myosin IC light chain. MlcD comprises four EF-hands; however, EF-hands 2-4 contain mutations in key Ca2+-co-ordinating residues that would be predicted to impair Ca2+ binding. Electrospray ionization MS of MlcD in the presence of Ca2+ and La3+ showed the presence of one major and one minor metal-binding site. MlcD contains a single tryptophan residue (Trp39), the fluorescence intensity of which was quenched upon addition of Ca2+ or Mg2+, yielding apparent dissociation constants ( K'(d)) of 52 microM for Ca2+ and 450 microM for Mg2+. The low affinity of MlcD for Ca2+ indicates that it cannot function as a sensor of physiological Ca2+. Ca2+ did not affect the binding of MlcD to MyoD or to either of the two MyoD IQ (Ile-Gln) motifs. FLAG-MlcD expressed in Dictyostelium formed a complex with MyoD, but not with the two other long-tailed Dictyostelium myosin I isoenzymes, MyoB and MyoC. Through its specific association with the Ca2+-insensitive MlcD, MyoD may exhibit distinct regulatory properties that distinguish it from myosin I isoenzymes with calmodulin light chains.
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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 | 0.001 | 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 | 0.001 | 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) | 0.000 | 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".