Anionic Acyl Methyl Phosphates for the Synthesis of Hemoglobin-Based Oxygen Therapeutics
Bibliographic record
Abstract
Hemoglobin, contained within red blood cells (RBCs), is the oxygen-carrying unit within humans. Free of the immunogenic problems associated with red blood cells, acellular hemoglobin could be the basis for a universally accepted substitute for the oxygen-carrying function of RBCs. This inspired research on a class of molecules known as hemoglobin-based oxygen carriers (HBOCs) – an area of interest in our research group. Hemoglobin, however, does not function as intended when present outside of RBCs. Decades of research in the field has now established that a viable acellular HBOC must 1) include an intramolecular cross-link to retain function and prevent renal toxicity, 2) be enlarged to prevent adverse cardiovascular effects, notably hypertension, and 3) exhibit cooperativity and physiologically-relevant oxygen affinity. Based on these requirements, our group has developed hemoglobin bis-tetramers – a candidate oxygen carrier utilizing a combination of native protein modifications and bio-orthogonal “click” chemistry. Our method boasts highly selective protein modifications, and thus high homogeneity, in the resulting product. This also makes our method highly reproducible. Other HBOCs in development are often heterogeneous mixtures of compounds, resulting in potentially inconsistent oxygenation properties. The high homogeneity of our method, however, comes at the cost of low synthetic yields. In the present work I utilize anionic acyl phosphate-based reagents to optimize the synthesis of bis-tetramers. My efforts ultimately lead to a three-fold increase in overall yields and significant additional improvements towards scalability. I begin by optimizing the current leading bis-tetramer protocol using an acyl phosphate-based acetylating agent, methyl acetyl phosphate (MAP). Noticing critical shortcomings within this method, I then developed a novel procedure using an acyl phosphate-based azide cross-linker. The cross-linker, PacXL, is the first azide-containing cross-linker to react specifically at the target cross-linking site on hemoglobin. The new protocol also utilizes the R-state conformation of hemoglobin, which is significantly more advantageous towards scale-up compared with the previously used T-state conformation. Outside the context of bis-tetramers, my results also establish acyl phosphates as highly selective reagents for cationic sites and potentiates their broad application towards targeting proteins exhibiting strong cationic character.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".