Mechanism of Small Molecule Inhibitors of Phagocytosis
Bibliographic record
Abstract
Immune cytopenias occur when the body produces antibodies that target specific hematopoietic cells, inducing extravascular antibody-mediated phagocytosis by monocyte-macrophages in the spleen and/or liver through activation of Fcγ Receptors (FcγRs). Immune cytopenias include Immune Thrombocytopenia (ITP), Autoimmune Hemolytic Anemia (AIHA), Hemolytic Transfusion Reactions (HTR), Hemolytic Disease of the Fetus and Newborn (HDFN), and Autoimmune Neutropenia (AIN). Thus, novel therapeutics that inhibit phagocytosis would be useful, especially for short-term use while other therapies are being evaluated. In our earlier studies, we successfully identified two small-molecule drugs able to inhibit in vitro phagocytosis with a low IC50 concentration and negligible toxicity. These drugs, known as KB-151 and KB-208, have the potential to be utilized as lead compounds for further studies, once their mechanism of action is more clearly understood. In this regard, we have developed preliminary results that suggest that these small molecules may bind to the Fc receptors on monocyte macrophages and block the subsequent attachment of antibody-opsonized red blood cells to prevent phagocytosis.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".