Evidence map›Paper›PMID 32398742›Full record

ArticleTranslational psychiatry2020

Drug repositioning for psychiatric and neurological disorders through a network medicine approach.

Thomaz Lüscher Dias, Viviane Schuch, Patrícia Cristina Baleeiro Beltrão-Braga, Daniel Martins-de-Souza, Helena Paula Brentani, Glória Regina Franco, Helder Imoto Nakaya

Open access · goldAbstract read
In one paragraph

Article in Translational psychiatry, 2020. 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
2.3field-weighted citation impact, top 11% 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, 44 citations in OpenAlex.

  1. Applications of artificial intelligence in drug discovery for neurological diseases.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2025
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  10. Therapeutics of Alzheimer's Disease: Recent Developments.Antioxidants (Basel, Switzerland) · 2022
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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

7 authors at 4 institutions in 1 country.

Thomaz Lüscher DiasDepartament of Biochemistry and Immunology, Institute of Biological Sciences, Federal University of Minas Gerais, Belo Horizonte, Brazil.
Viviane SchuchDepartment of Clinical and Toxicological Analyses, School of Pharmaceutical Sciences, University of São Paulo, São Paulo, Brazil.
Patrícia Cristina Baleeiro Beltrão-BragaDepartment of Microbiology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil.
Daniel Martins-de-SouzaLaboratory of Neuroproteomics, Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas, Campinas, Brazil.ORCID http://orcid.org/0000-0003-3595-5846
Helena Paula BrentaniInstituto de Psiquiatria, Hospital das Clínicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil.
Glória Regina FrancoDepartament of Biochemistry and Immunology, Institute of Biological Sciences, Federal University of Minas Gerais, Belo Horizonte, Brazil.
Helder Imoto NakayaDepartment of Clinical and Toxicological Analyses, School of Pharmaceutical Sciences, University of São Paulo, São Paulo, Brazil. hnakaya@usp.br.ORCID http://orcid.org/0000-0001-5297-9108
Universidade de São Paulo · BRUniversidade Federal de Minas Gerais · BRHospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo · BRNational Council for Scientific and Technological Development · BR

Funding

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (Brazilian Federal Agency for the Support and Evaluation of Graduate Education) 001Fundação de Amparo à Pesquisa do Estado de São Paulo (São Paulo Research Foundation) 2014/10068-4Fundação de Amparo à Pesquisa do Estado de São Paulo (São Paulo Research Foundation) 2017/25588-1Fundação de Amparo à Pesquisa do Estado de São Paulo (São Paulo Research Foundation) 2018/03673-0Fundação de Amparo à Pesquisa do Estado de São Paulo (São Paulo Research Foundation) 2018/16748-8Fundação de Amparo à Pesquisa do Estado de São Paulo (São Paulo Research Foundation) 2019/00098-7
6 · The paper itself

Abstract

Psychiatric and neurological disorders (PNDs) affect millions worldwide and only a few drugs achieve complete therapeutic success in the treatment of these disorders. Due to the high cost of developing novel drugs, drug repositioning represents a promising alternative method of treatment. In this manuscript, we used a network medicine approach to investigate the molecular characteristics of PNDs and identify novel drug candidates for repositioning. Using IBM Watson for Drug Discovery, a powerful machine learning text-mining application, we built knowledge networks containing connections between PNDs and genes or drugs mentioned in the scientific literature published in the past 50 years. This approach revealed several drugs that target key PND-related genes, which have never been used to treat these disorders to date. We validate our framework by detecting drugs that have been undergoing clinical trial for treating some of the PNDs, but have no published results in their support. Our data provides comprehensive insights into the molecular pathology of PNDs and offers promising drug repositioning candidates for follow-up trials.

Indexed as

Drug RepositioningNervous System DiseasesComputational BiologyData MiningHumansMachine Learning

Identifiers

PMID32398742
PMCPMC7217930
OpenAlexW3024415649

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.