Evidence map›Paper›PMID 36895324›Full record

ArticleBioinformatics and biology insights2023

Pharmacophore-Aided Virtual Screening and Molecular Dynamics Simulation Identifies TrkB Agonists for Treatment of

Ibitayo Abigail Ademuwagun, Gbolahan Oladipupo Oduselu, Solomon Oladapo Rotimi, Ezekiel Adebiyi

Open access · goldAbstract read
In one paragraph

Article in Bioinformatics and biology insights, 2023. 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
1.4field-weighted citation impact, top 17% 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, 6 citations in OpenAlex.

  1. Review
  2. Article
  3. Synthesis,RSC medicinal chemistry · 2025
    Article
  4. Article
  5. Frontiers in bioinformatics · 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

4 authors at 1 institution in 2 countries.

Ibitayo Abigail AdemuwagunCovenant University Bioinformatics Research (CUBRe), Covenant University, Ota, Nigeria.
Gbolahan Oladipupo OduseluCovenant University Bioinformatics Research (CUBRe), Covenant University, Ota, Nigeria.
Solomon Oladapo RotimiCovenant University Bioinformatics Research (CUBRe), Covenant University, Ota, Nigeria.
Ezekiel AdebiyiCovenant University Bioinformatics Research (CUBRe), Covenant University, Ota, Nigeria.
Covenant University · NG

Funding

H3ABioNet: informatics solutions for H3AfricaU24HG006941 · NHGRI · UNIVERSITY OF CAPE TOWN · PI MULDER, NICOLA · 2017 to 2021
$12.9M
WEST AFRICAN SUSTAINABLE LEADERSHIP AND INNOVATION TRAINING IN BIOINFORMATICS RESEARCH (WASLITBRe)U2RTW010679 · FIC · COVENANT UNIVERSITY · PI ADEBIYI, EZEKIEL FEMI, AMOAKO-YIRENKYI, PETER · 2017 to 2021
$1.4M
FIC NIH HHS U2R TW010679NHGRI NIH HHS U24 HG006941
6 · The paper itself

Abstract

Therapeutic intervention in cyclin-dependent kinase-like 5 (CDKL5) deficiency disorders (CDDs) has remained a concern over the years. Recent advances into the mechanistic interplay of signalling pathways has revealed the role of deficient tropomyosin receptor kinase B (TrkB)/phospholipase C γ1 signalling cascade in CDD. Novel findings showed that in vivo administration of a TrkB agonist, 7,8-dihydroxyflavone (7,8-DHF), resulted in a remarkable reversal in the molecular pathologic mechanisms underlying CDD. Owing to this discovery, this study aimed to identify more potent TrkB agonists than 7,8-DHF that could serve as alternatives or combinatorial drugs towards effective management of CDD. Using pharmacophore modelling and multiple database screening, we identified 691 compounds with identical pharmacophore features with 7,8-DHF. Virtual screening of these ligands resulted in identification of at least 6 compounds with better binding affinities than 7,8-DHF. The in silico pharmacokinetic and ADMET studies of the compounds also indicated better drug-like qualities than those of 7,8-DHF. Postdocking analyses and molecular dynamics simulations of the best hits, 6-hydroxy-10-(2-oxo-1-azatricyclo[7.3.1.05,13]trideca-3,5(13),6,8-tetraen-3-yl)-8-oxa-13,14,16-triazatetracyclo[7.7.0.02,7.011,15]hexadeca-1,3,6,9,11,15-hexaen-5-one (PubChem: 91637738) and 6-hydroxy-10-(8-methyl-2-oxo-1H-quinolin-3-yl)-8-oxa-13,14,16-triazatetracyclo[7.7.0.02,7.011,15]hexadeca-1,3,6,9,11,15-hexaen-5-one (PubChem ID: 91641310), revealed unique ligand interactions, validating the docking findings. We hereby recommend experimental validation of the best hits in CDKL5 knock out models before consideration as drugs in CDD management.

Indexed as

CDKL5 deficiency disordersmolecular dynamics simulationpharmacophoreseizurevirtual screening

Identifiers

PMID36895324
PMCPMC9989394
OpenAlexW4323065081

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.