Evidence map›Paper›PMID 30023945›Full record

ArticleACS omega2018

Discovery of Retinoic Acid-Related Orphan Receptor γt Inverse Agonists via Docking and Negative Image-Based Screening.

Sanna Rauhamäki, Pekka A Postila, Sakari Lätti, Sanna Niinivehmas, Elina Multamäki, Klaus R Liedl, Olli T Pentikäinen

Abstract read
In one paragraph

Article in ACS omega, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Sdfconf: A Novel, Flexible, and Robust Molecular Data Management Tool.Journal of chemical information and modeling · 2022
    Article
  8. Review ofFrontiers in endocrinology · 2022
    Review
  9. Negative Image-Based Screening: Rigid Docking Using Cavity Information.Methods in molecular biology (Clifton, N.J.) · 2021
    Article
  10. Getting Docking into Shape Using Negative Image-Based Rescoring.Journal of chemical information and modeling · 2019
    Article
  11. 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

7 authors.

Sanna RauhamäkiDepartment of Biological and Environmental Science & Nanoscience Center, University of Jyväskylä, P.O. Box 35, Jyväskylä FI-40014 University of Jyvaskyla, Finland.
Pekka A PostilaDepartment of Biological and Environmental Science & Nanoscience Center, University of Jyväskylä, P.O. Box 35, Jyväskylä FI-40014 University of Jyvaskyla, Finland.
Sakari LättiDepartment of Biological and Environmental Science & Nanoscience Center, University of Jyväskylä, P.O. Box 35, Jyväskylä FI-40014 University of Jyvaskyla, Finland.
Sanna NiinivehmasDepartment of Biological and Environmental Science & Nanoscience Center, University of Jyväskylä, P.O. Box 35, Jyväskylä FI-40014 University of Jyvaskyla, Finland.
Elina MultamäkiDepartment of Biological and Environmental Science & Nanoscience Center, University of Jyväskylä, P.O. Box 35, Jyväskylä FI-40014 University of Jyvaskyla, Finland.
Klaus R LiedlInstitute of General, Inorganic and Theoretical Chemistry, Centre for Chemistry and Biomedicine, University of Innsbruck, Innrain 82, A-6020 Innsbruck, Austria.
Olli T PentikäinenDepartment of Biological and Environmental Science & Nanoscience Center, University of Jyväskylä, P.O. Box 35, Jyväskylä FI-40014 University of Jyvaskyla, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Retinoic acid-related orphan receptor γt (RORγt) has a vital role in the differentiation of T-helper 17 (TH17) cells. Potent and specific RORγt inverse agonists are sought for treating TH17-related diseases such as psoriasis, rheumatoid arthritis, and type 1 diabetes. Here, the aim was to discover novel RORγt ligands using both standard molecular docking and negative image-based screening. Interestingly, both of these in silico techniques put forward mostly the same compounds for experimental testing. In total, 11 of the 34 molecules purchased for testing were verified as RORγt inverse agonists, thus making the effective hit rate 32%. The pIC

Identifiers

PMID30023945
PMCPMC6044741

What OpenQuestion holds

Textmetadata
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.