Molecular phylogenetic analyses of albuminoids reveal the molecular evolution of allosteric properties
Bibliographic record
Abstract
Serum albumin, α-fetoprotein, afamin (also named α-albumin and vitamin E binding protein), and vitamin D binding protein are members of the albuminoid superfamily. Albuminoids are plasma proteins characterized by a marked ability for ligand binding and transport. Here, a focused phylogenetic analysis of sequence evolution by maximum likelihood of fatty acid binding sites FA1-FA7 of mammalian albuminoids reveals that the FA1, FA2, and FA3+FA4 sites in serum albumins have evolved from the most recent common ancestor through an intermediate that has originated the α-fetoprotein and afamin clades. The same topology has been observed for the whole protein sequences, for the sequences of all the fatty acid binding sites (FA1-FA7) taken together, and for the allosteric core corresponding to residues 1-303 of human serum albumin. The quantitative divergence analysis indicates that the ligand binding cleft corresponding to the FA2 site could be the main determinant of allosteric properties of serum albumins only. In fact, this binding cleft is structurally not effective in vitamin D binding proteins, whereas key residues that serve to allocate the allosteric effectors are not present in afamins and α-fetoproteins.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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".