Evidence map›Paper›PMID 38020385›Full record

ArticleChemical science2023

Data-driven discovery of innate immunomodulators

Yifeng Tang, Jeremiah Y Kim, Carman K M Ip, Azadeh Bahmani, Qing Chen, Matthew G Rosenberger, Aaron P Esser-Kahn, Andrew L Ferguson

Open access · diamondAbstract read
In one paragraph

Article in Chemical science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.0field-weighted citation impact, top 13% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Machine learning in biological physics: From biomolecular prediction to design.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 1 institution in 1 country.

Yifeng TangPritzker School of Molecular Engineering, University of Chicago Chicago IL 60637 USA aesserkahn@uchicago.edu andrewferguson@uchicago.edu.ORCID https://orcid.org/0000-0003-4247-6712
Jeremiah Y KimPritzker School of Molecular Engineering, University of Chicago Chicago IL 60637 USA aesserkahn@uchicago.edu andrewferguson@uchicago.edu.ORCID https://orcid.org/0000-0003-0094-9171
Carman K M IpCellular Screening Center, University of Chicago Chicago IL 60637 USA.
Azadeh BahmaniCellular Screening Center, University of Chicago Chicago IL 60637 USA.
Qing ChenPritzker School of Molecular Engineering, University of Chicago Chicago IL 60637 USA aesserkahn@uchicago.edu andrewferguson@uchicago.edu.
Matthew G RosenbergerPritzker School of Molecular Engineering, University of Chicago Chicago IL 60637 USA aesserkahn@uchicago.edu andrewferguson@uchicago.edu.ORCID https://orcid.org/0000-0002-0595-5338
Aaron P Esser-KahnPritzker School of Molecular Engineering, University of Chicago Chicago IL 60637 USA aesserkahn@uchicago.edu andrewferguson@uchicago.edu.ORCID https://orcid.org/0000-0003-1273-0951
Andrew L FergusonPritzker School of Molecular Engineering, University of Chicago Chicago IL 60637 USA aesserkahn@uchicago.edu andrewferguson@uchicago.edu.ORCID https://orcid.org/0000-0002-8829-9726
University of Chicago · US

Funding

Discovery of adjuvants via novel modulation of innate immune pathways for vaccines against influenza75N93019C00041 · NIAID · UNIVERSITY OF CHICAGO · PI ESSER-KAHN, AARON · 2019 to 2024
$10.0M
NIAID NIH HHS 75N93019C00041
6 · The paper itself

Abstract

The innate immune response is vital for the success of prophylactic vaccines and immunotherapies. Control of signaling in innate immune pathways can improve prophylactic vaccines by inhibiting unfavorable systemic inflammation and immunotherapies by enhancing immune stimulation. In this work, we developed a machine learning-enabled active learning pipeline to guide

Identifiers

PMID38020385
PMCPMC10646978
OpenAlexW4387756989

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.