Evidence map›Paper›PMID 38898093›Full record

ArticleScientific reports2024

Identification of potential modulators for human GPD1 by docking-based virtual screening, molecular dynamics simulations, binding free energy calculations, and DeLA-drug analysis.

Anzheng Hu, Hongwei Chen, Wenwei Pang, Xiaojie Pu, Zhongquan Qi, Haiyan Chen

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 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.

Anzheng HuGuangxi Key Laboratory of Special Biomedicine, School of Medicine, Guangxi University, Nanning, 530004, Guangxi, China.
Hongwei ChenGuangxi Key Laboratory of Special Biomedicine, School of Medicine, Guangxi University, Nanning, 530004, Guangxi, China.
Wenwei PangGuangxi Key Laboratory of Special Biomedicine, School of Medicine, Guangxi University, Nanning, 530004, Guangxi, China.
Xiaojie PuGuangxi Key Laboratory of Special Biomedicine, School of Medicine, Guangxi University, Nanning, 530004, Guangxi, China.
Zhongquan QiGuangxi Key Laboratory of Special Biomedicine, School of Medicine, Guangxi University, Nanning, 530004, Guangxi, China. zqqi@xmu.edu.cn.
Haiyan ChenGuangxi Key Laboratory of Special Biomedicine, School of Medicine, Guangxi University, Nanning, 530004, Guangxi, China. czyzsu@gxu.edu.cn.

Funding

College Student Innovation and Entrepreneurship Training Program of Guangxi University 202210593534National key research and development program of China 2018YFA0108304
6 · The paper itself

Abstract

Cytosolic Glycerol-3-phosphate dehydrogenase 1 (GPD1, EC 1.1.1.8) plays a pivotal role in regulating the Embden-Meyerhof glucose glycolysis pathway (E-M pathway), as well as in conditions such as Huntington's disease, cancer, and its potential role as a specific marker for Dormant Glioma Stem Cells. In this study, we conducted virtual screening using the ZINC database ( http://zinc.docking.org/ ) and the GPD1 structure to identify potential GPD1 modulators. The investigation involved screening active candidate ligands using ADMET (Absorption, Distribution, Metabolism, Excretion, Toxicity) parameters, combined with molecular docking, pose analysis, and interaction analysis based on Lipinski and Veber criteria. Subsequently, the top 10 ligands were subjected to 200 ns all-atom molecular dynamics (M.D.) simulations, and binding free energies were calculated. The findings revealed that specific residues, namely TRP14, PRO94, LYS120, ASN151, THR264, ASP260, and GLN298, played a crucial role in ensuring system stability. Furthermore, through a comprehensive analysis involving molecular docking, molecular M.D., and DeLA-Drug, we identified 10 promising small molecules. These molecules represent potential lead compounds for developing effective therapeutics targeting GPD1-associated diseases, thereby contributing to a deeper understanding of GPD1-associated mechanisms. This study's significance lies in identifying key residues associated with GPD1 and discovering valuable small molecules, providing a foundation for further research and development.

Indexed as

Glycerolphosphate DehydrogenaseMolecular Docking SimulationMolecular Dynamics SimulationBinding SitesHumansLigandsProtein BindingThermodynamicsGlycerolphosphate DehydrogenaseLigandsBinding free energy calculationsGPD1Molecular dockingMolecular dynamics simulationVirtual screening

Identifiers

PMID38898093
PMCPMC11187211

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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.