ArticleSTAR protocols2021
Rapid assessment of DCLK1 inhibitors using a peptide substrate mobility shift assay.
Article in STAR protocols, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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
1 citing paper in PubMed, 1 citations in OpenAlex.
- Identification of a Class of WNK Isoform-Specific Inhibitors Through High-Throughput Screening.Drug design, development and therapy · 2023Article
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Peptide mobility shift assays provide a sensitive measure of kinase enzymatic activity and can be used to evaluate kinase inhibitors. Herein, we describe a protocol adapted for rapid assessment of doublecortin-like kinase inhibitors. Advantages include rapid iterations of therapeutic compound assessment and the ability to characterize kinase mutations, such as drug-resistant mutants for biological rescue experiments, on kinase activity. For complete details on the use and execution of this protocol, please refer to Liu et al. (2020).
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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.