Plasma membrane interactions that determine presentation of antigens by Antigen-presenting cells. (P5022)
Bibliographic record
Abstract
Abstract Antigen presentation is a critical process in host defense for initiating adaptive immune responses. The APC loads peptides derived from antigens onto major histocompatibility complex (MHC) molecules and exports them to the surface for T cells sampling. If the primary interaction between an APC and T cell is successful, i.e. the TCR binds an appropriate MHC-peptide complex, this leads to an adaptive immune response. Peptide antigens are presented on two types of MHC molecules, MHC I and MHC II via several distinct processing pathways. In turn, the MHC molecule dictates which type of T cell can be activated and thereby the nature of the adaptive immune response. Therefore, antigen loading onto MHC molecules is a critical determinant of the adaptive immune responses. Exogenous antigens can be presented on MHC I and II molecules. Antigen processing mechanisms have been elucidated in great detail, but the fundamental reason behind why an antigen is directed into a specific pathway is not known. One of the foremost aims for this project is to determine why particulate antigens are presented more often on MHC I and why soluble antigens are more efficiently presented on MHC II, by deciphering the interactions of plasma membrane with particulate versus soluble antigen. This fundamental sensing mechanism of the human body when elucidated can help in generating an antiviral response in diseases like HIV and in field of preventative medicine.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 0.004 |
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".