Evidence map›Paper›PMID 25638502›Full record

ArticleBioorganic & medicinal chemistry2015

Discovery of Mer kinase inhibitors by virtual screening using Structural Protein-Ligand Interaction Fingerprints.

C Da, M Stashko, C Jayakody, X Wang, W Janzen, S Frye, D Kireev

Open access · greenAbstract read
In one paragraph

Article in Bioorganic & medicinal chemistry, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 34% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Ultrahigh Throughput Protein-Ligand Docking with Deep Learning.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  3. Review
  4. 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 at 1 institution in 1 country.

C DaCenter for Integrative Chemical Biology and Drug Discovery, Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, CB #7360, Chapel Hill, NC 27599-7363, United States.
M StashkoCenter for Integrative Chemical Biology and Drug Discovery, Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, CB #7360, Chapel Hill, NC 27599-7363, United States.
C JayakodyCenter for Integrative Chemical Biology and Drug Discovery, Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, CB #7360, Chapel Hill, NC 27599-7363, United States.
X WangCenter for Integrative Chemical Biology and Drug Discovery, Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, CB #7360, Chapel Hill, NC 27599-7363, United States.
W JanzenCenter for Integrative Chemical Biology and Drug Discovery, Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, CB #7360, Chapel Hill, NC 27599-7363, United States.
S FryeCenter for Integrative Chemical Biology and Drug Discovery, Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, CB #7360, Chapel Hill, NC 27599-7363, United States.
D KireevCenter for Integrative Chemical Biology and Drug Discovery, Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, CB #7360, Chapel Hill, NC 27599-7363, United States. Electronic address: dmitri.kireev@unc.edu.
University of North Carolina at Chapel Hill · US

Funding

CCR NIH HHS HHSN261200800001CNCI NIH HHS HHSN261200800001E
6 · The paper itself

Abstract

Mer is a receptor tyrosine kinase implicated in acute lymphoblastic leukemia (ALL), the most common malignancy in children. The currently available data provide a rationale for development of Mer kinase inhibitors as cancer therapeutics that can target both cell autologous and immune-modulatory anti-tumor effects. We have previously reported several series of potent Mer inhibitors and the objective of the current report is to identify a chemically dissimilar back-up series that might circumvent potential, but currently unknown, flaws inherent to the lead series. To this end, we virtually screened a database of ∼3.8million commercially available compounds using high-throughput docking followed by a filter involving Structural Protein-Ligand Interaction Fingerprints (SPLIF). SPLIF permits a quantitative assessment of whether a docking pose interacts with the protein target similarly to an endogenous or known synthetic ligand, and therefore helps to improve both sensitivity and specificity with respect to the docking score alone. Of the total of 62 experimentally tested compounds, 15 demonstrated reliable dose-dependent responses in the Mer in vitro kinase activity assay with inhibitory potencies ranging from 0.46μM to 9.9μM.

Indexed as

Molecular Docking SimulationProtein Kinase InhibitorsQuality ControlReceptor Protein-Tyrosine KinasesProtein Kinase InhibitorsReceptor Protein-Tyrosine KinasesAcute lymphoblastic leukemiaMer tyrosine kinaseStructural Protein–Ligand Interaction FingerprintsVirtual screening

Identifiers

PMID25638502
PMCPMC4339536
OpenAlexW2047998336

What OpenQuestion holds

Textmetadata
LicenceTDM
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.