Evidence map›Paper›PMID 32832032›Full record

ArticleACS medicinal chemistry letters2020

Mining Public Domain Data to Develop Selective DYRK1A Inhibitors.

Scott H Henderson, Fiona Sorrell, James Bennett, Marcus T Hanley, Sean Robinson, Iva Hopkins Navratilova, Jonathan M Elkins, Simon E Ward

Open access · hybridAbstract read
In one paragraph

Article in ACS medicinal chemistry letters, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

5 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
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  4. Article
  5. Functional Pyrazolo[1,5-Molecules (Basel, Switzerland) · 2021
    Review
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 7 institutions in 3 countries.

Scott H HendersonSussex Drug Discovery Centre, University of Sussex, Brighton BN1 9RH, U.K.
Fiona SorrellStructural Genomics Consortium, University of Oxford, Old Road Campus Research Building, Oxford OX3 7DQ, U.K.
James BennettTarget Discovery Institute, University of Oxford, Oxford OX3 7FZ, U.K.
Marcus T HanleyMedicines Discovery Institute, Cardiff University, Cardiff CF10 3AT, U.K.
Sean RobinsonExscientia, The Schrödinger Building, Oxford Science Park, Oxford OX4 4GE, U.K.
Iva Hopkins NavratilovaExscientia, The Schrödinger Building, Oxford Science Park, Oxford OX4 4GE, U.K.
Jonathan M ElkinsStructural Genomics Consortium, University of Oxford, Old Road Campus Research Building, Oxford OX3 7DQ, U.K.
Simon E WardMedicines Discovery Institute, Cardiff University, Cardiff CF10 3AT, U.K.
University of Wales Institute Cardiff · SGGenomics England · GBScience Oxford · GBUniversidade Estadual de Campinas (UNICAMP) · BRUniversity of Dundee · GBUniversity of Oxford · GBUniversity of Sussex · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Kinases represent one of the most intensively pursued groups of targets in modern-day drug discovery. Often it is desirable to achieve selective inhibition of the kinase of interest over the remaining ∼500 kinases in the human kinome. This is especially true when inhibitors are intended to be used to study the biology of the target of interest. We present a pipeline of open-source software that analyzes public domain data to repurpose compounds that have been used in previous kinase inhibitor development projects. We define the dual-specificity tyrosine-regulated kinase 1A (DYRK1A) as the kinase of interest, and by addition of a single methyl group to the chosen starting point we remove glycogen synthase kinase β (GSK3β) and cyclin-dependent kinase (CDK) inhibition. Thus, in an efficient manner we repurpose a GSK3β/CDK chemotype to deliver

Identifiers

PMID32832032
PMCPMC7430967
OpenAlexW3039347241

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.