ArticleChemical science2021
A synthetic pathogen mimetic molecule induces a highly amplified synergistic immune response
Article in Chemical science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed.
- Review
- A Cancer Nanovaccine for Co-Delivery of Peptide Neoantigens and Optimized Combinations of STING and TLR4 Agonists.ACS nano · 2024Article
- Covalently Conjugated NOD2/TLR7 Agonists Are Potent and Versatile Immune Potentiators.Journal of medicinal chemistry · 2022Article
- Immunostimulatory Polymers as Adjuvants, Immunotherapies, and Delivery Systems.Macromolecules · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The current understanding of how the immune system processes complex information during natural infections is yet to be exploited for the molecular design of potent immune activators. Here, we address this challenge by design of a pathogen-mimetic molecule that simultaneously co-activates cell-surface active, endosomal and cytosolic immune receptors.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.