Evidence map›Paper›PMID 29675426›Full record

ArticleBioMed research international2018

A Novel Method for Drug Screen to Regulate G Protein-Coupled Receptors in the Metabolic Network of Alzheimer's Disease.

Yang Li, Wei Zheng, Wuyun Qiqige, Shujuan Cao, Jishou Ruan, Yanping Zhang

Abstract read
In one paragraph

Article in BioMed research international, 2018. 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
–field-weighted citation impact
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.

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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.

Yang LiCollege of Life Sciences, Nankai University, No. 94 Weijin Road, Tianjin 300071, China.
Wei ZhengCollege of Mathematical Sciences and LPMC, Nankai University, No. 94 Weijin Road, Tianjin 300071, China.ORCID 0000-0002-2984-9003
Wuyun QiqigeCollege of Mathematical Sciences and LPMC, Nankai University, No. 94 Weijin Road, Tianjin 300071, China.
Shujuan CaoSchool of Science, Tianjin Polytechnic University, No. 399 Binshui West Road, Xi Qing District, Tianjin 300387, China.
Jishou RuanCollege of Mathematical Sciences and LPMC, Nankai University, No. 94 Weijin Road, Tianjin 300071, China.
Yanping ZhangSchool of Mathematics and Physics, Hebei University of Engineering, No. 199 South Street Light, Handan 056038, China.ORCID 0000-0002-6048-8891

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alzheimer's disease (AD) is a chronic and progressive neurodegenerative disorder and the pathogenesis of AD is poorly understood. G protein-coupled receptors (GPCRs) are involved in numerous key AD pathways and play a key role in the pathology of AD. To fully understand the pathogenesis of AD and design novel drug therapeutics, analyzing the connection between AD and GPCRs is of great importance. In this paper, we firstly build and analyze the AD-related pathway by consulting the KEGG pathway of AD and a mass of literature and collect 25 AD-related GPCRs for drug discovery. Then the ILbind and AutoDock Vina tools are integrated to find out potential drugs related to AD. According to the analysis of DUD-E dataset, we select five drugs, that is, Acarbose (ACR), Carvedilol (CVD), Digoxin (DGX), NADH (NAI), and Telmisartan (TLS), by sorting the ILbind scores (≥0.73). Then depending on their AutoDock Vina scores and pocket position information, the binding patterns of these five drugs are obtained. We analyze the regulation function of GPCRs in the metabolic network of AD based on the drug screen results, which may be helpful for the study of the off-target effect and the side effect of drugs.

Indexed as

Alzheimer DiseaseDrug DiscoveryHumansMetabolic Networks and PathwaysNeuroprotective AgentsReceptors, G-Protein-CoupledNeuroprotective AgentsReceptors, G-Protein-Coupled

Identifiers

PMID29675426
PMCPMC5838471

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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.