Evidence map›Paper›PMID 36735144›Full record

ArticleApplied biochemistry and biotechnology2023

Discovery of Small Molecule PARKIN Activator from Antipsychotic/Anti-neuropsychiatric Drugs as Therapeutics for PD: an In Silico Repurposing Approach.

Abdulwasiu Ibrahim, Nureni Ipinloju, Nkechi Hope Atasie, Rahmotallah Mosunmola Babalola, Suleiman Alhaji Muhammad, Oluwatoba Emmanuel Oyeneyin

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Article in Applied biochemistry and biotechnology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
3.4field-weighted citation impact, top 7% 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

3 citing papers in PubMed, 17 citations in OpenAlex.

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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

6 authors at 3 institutions in 1 country.

Abdulwasiu IbrahimDrosophila Laboratory, Department of Biochemistry, University of Ibadan, Ibadan, Oyo State, Nigeria. Ibrahimabdulwasiu44@gmail.com.ORCID http://orcid.org/0000-0003-3456-005X
Nureni IpinlojuTheoretical and Computational Chemistry Unit, Department of Chemical Sciences, Adekunle Ajasin University, Akungba Akoko, Ondo State, Nigeria. nureniipinloju@gmail.com.ORCID http://orcid.org/0000-0002-2683-7146
Nkechi Hope AtasieNigerian Correctional Service, Enugu Custodial Centre, Enugu, Nigeria.
Rahmotallah Mosunmola BabalolaDepartment of Pharmacognosy, Faculty of Pharmacy, University of Lagos, Lagos, Nigeria.
Suleiman Alhaji MuhammadNigerian Correctional Service, Enugu Custodial Centre, Enugu, Nigeria.ORCID http://orcid.org/0000-0003-2421-3556
Oluwatoba Emmanuel OyeneyinTheoretical and Computational Chemistry Unit, Department of Chemical Sciences, Adekunle Ajasin University, Akungba Akoko, Ondo State, Nigeria.ORCID http://orcid.org/0000-0001-5709-0244
Adekunle Ajasin University · NGUniversity of Ibadan · NGUniversity of Lagos · NG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although there is presently no cure for Parkinson's disease (PD), the available therapies are only able to lessen symptoms and preserve the quality of life. Around 10 million people globally had PD as of 2020. The widely used standard drug has recently been revealed to have several negative effects. Additionally, there is a dearth of innovative compounds entering the market as a result of subpar ADMET characteristics. Drug repurposing provides a chance to reenergize the sluggish drug discovery process by identifying new applications for already-approved medications. As this strategy offers a practical way to speed up the process of developing alternative medications for PD. This study used a computer-aided technique to select therapeutic agent(s) from FDA-approved neuropsychiatric/psychotic drugs that can be adopted in the treatment of Parkinson's disease. In the current work, a computational approach via molecular docking, density functional theory (DFT), and pharmacokinetics were used to identify possible (anti)neuropsychiatric/psychotic medications for the treatment of PD. By using molecular docking, about eight (anti)neuropsychiatric/psychotic medications were tested against PARKIN, a key protein in PD. Based on the docking score, the best ligand in the trial was determined. The top hits were compared to the reference ligand levodopa (L-DOPA). A large proportion of the drugs displayed binding affinity that was relatively higher than L-DOPA. Also, DFT analysis confirms the ligand-receptor interactions and the molecular charge transfer. All the compounds were found to obey Lipinski's rule with acceptable pharmacokinetic properties. The current study has revealed the effectiveness of antineuropsychiatric/antipsychotic drugs against PARKIN in the treatment of PD and lumateperone was revealed to be the most promising candidate interacting with PARKIN.

Indexed as

Antipsychotic AgentsParkinson DiseaseDrug RepositioningHumansLevodopaLigandsMolecular Docking SimulationQuality of LifeUbiquitin-Protein LigasesAntipsychotic AgentsLevodopaLigandsUbiquitin-Protein LigasesAnti-neuropsychiatric drugsAntipsychotic drugsComputational approachDrug repurposingPARKINParkinson’s disease

Identifiers

PMID36735144
OpenAlexW4319057707

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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.