Evidence map›Paper›PMID 24899801›Full record

ArticleDrug design, development and therapy2014

Pharmacoinformatics elucidation of potential drug targets against migraine to target ion channel protein KCNK18.

Sheikh Arslan Sehgal, Mubashir Hassan, Sajid Rashid

Open access · goldAbstract read
In one paragraph

Article in Drug design, development and therapy, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

16 citing papers in PubMed, 31 citations in OpenAlex.

  1. Review
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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

3 authors at 1 institution in 1 country.

Sheikh Arslan SehgalNational Center for Bioinformatics, Quaid-i-Azam University, Islamabad, Pakistan.
Mubashir HassanNational Center for Bioinformatics, Quaid-i-Azam University, Islamabad, Pakistan.
Sajid RashidNational Center for Bioinformatics, Quaid-i-Azam University, Islamabad, Pakistan.
Quaid-i-Azam University · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Migraine, a complex debilitating neurological disorder is strongly associated with potassium channel subfamily K member 18 (KCNK18). Research has emphasized that high levels of KCNK18 may be responsible for improper functioning of neurotransmitters, resulting in neurological disorders like migraine. In the present study, a hybrid approach of molecular docking and virtual screening were followed by pharmacophore identification and structure modeling. Screening was performed using a two-dimensional similarity search against recommended migraine drugs, keeping in view the physicochemical properties of drugs. LigandScout tool was used for exploring pharmacophore properties and designing novel molecules. Here, we report the screening of four novel compounds that have showed maximum binding affinity against KCNK18, obtained through the ZINC database, and Drug and Drug-Like libraries. Docking studies revealed that Asp-46, Ile-324, Ile-44, Gly-118, Leu-338, Val-113, and Phe-41 are critical residues for receptor-ligand interaction. A virtual screening approach coupled with docking energies and druglikeness rules illustrated that ergotamine and PB-414901692 are potential inhibitor compounds for targeting KCNK18. We propose that selected compounds may be more potent than the previously listed drug analogs based on the binding energy values. Further analysis of these inhibitors through site-directed mutagenesis could be helpful for exploring the details of ligand-binding pockets. Overall, the findings of this study may be helpful for designing novel therapeutic targets to cure migraine.

Indexed as

Computational BiologyDrug DesignHumansMigraine DisordersModels, MolecularMolecular Docking SimulationMutagenesis, Site-DirectedPotassium ChannelsStructure-Activity RelationshipKCNK18 protein, humanPotassium ChannelsbioinformaticsKCNK18migrainemodeling and dockingpharmacoinformaticsTRESKvirtual screening

Identifiers

PMID24899801
PMCPMC4038526
OpenAlexW2127060686

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.