Evidence map›Paper›PMID 35128681›Full record

ArticleJournal of food biochemistry2022

Identification of potential target endoribonuclease NSP15 inhibitors of SARS-COV-2 from natural products through high-throughput virtual screening and molecular dynamics simulation.

Liang-Chang Hu, Chuan-Hua Ding, Hong-Ying Li, Zhen-Zhen Li, Ying Chen, Li-Peng Li, Wan-Zhong Li, Wen-Shan Liu

Abstract read
In one paragraph

Article in Journal of food biochemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Nature's cryptographic codebreakerFrontiers in microbiology · 2025
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4 · The record

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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

8 authors.

Liang-Chang HuDepartment of Oncology, Affiliated Hospital of Weifang Medical University, Weifang, China.
Chuan-Hua DingShandong Key Laboratory of Clinical Applied Pharmacology, Department of Pharmacy, Affiliated Hospital of Weifang Medical University, Weifang, China.
Hong-Ying LiShandong Key Laboratory of Clinical Applied Pharmacology, Department of Pharmacy, Affiliated Hospital of Weifang Medical University, Weifang, China.
Zhen-Zhen LiShandong Key Laboratory of Clinical Applied Pharmacology, Department of Pharmacy, Affiliated Hospital of Weifang Medical University, Weifang, China.
Ying ChenSchool of Pharmacy, Weifang Medical University, Weifang, China.
Li-Peng LiTianjin Key Laboratory on Technologies Enabling Development of Clinical Therapeutics and Diagnostics (Theranostics), School of Pharmacy, Tianjin Medical University, Tianjin, China.
Wan-Zhong LiSchool of Pharmacy, Weifang Medical University, Weifang, China.
Wen-Shan LiuShandong Key Laboratory of Clinical Applied Pharmacology, Department of Pharmacy, Affiliated Hospital of Weifang Medical University, Weifang, China.ORCID 0000-0002-2477-9552

Funding

Medical and Health Science and Technology Development Project of Shandong Province of China 2019WS598the Medical and Health Science and Technology Development Project of Shandong Province of China 202013050426
6 · The paper itself

Abstract

SARS-CoV-2 wreaks havoc around the world, triggering the COVID-19 pandemic. It has been confirmed that the endoribonuclease NSP15 is crucial to the viral replication, and thus identified as a potential drug target against COVID-19. The NSP15 protein was used as the target to conduct high-throughput virtual screening on 30,926 natural products from the NPASS database to identify potential NSP15 inhibitors. And 100 ns molecular dynamics simulations were performed on the NSP15 and NSP15-NPC198199 system. In all, 10 natural products with high docking scores with NSP15 protein were obtained, among which compound NPC198199 scored the highest. The analysis of the binding mode between NPC198199 and NSP15 found that NPC198199 would form H-bond interactions with multiple key residues at the catalytic site. Subsequently, a series of post-dynamics simulation analyses (including RMSD, RMSF, PCA, DCCM, RIN, binding free energy, and H-bond occupancy) were performed to further explore inhibitory mechanism of compound NPC198199 on NSP15 protein at the molecular level. The research strongly indicates that the 10 natural compounds screened can be used as potential inhibitors of NSP15, and provides valuable information for the subsequent drug discovery of anti-SARS-CoV-2. PRACTICAL APPLICATIONS: Natural products play an important role in the treatment of many difficult diseases. In this study, high-throughput virtual screening technology was used to screen the natural product database to obtain potential inhibitors against endoribonuclease NSP15. The binding mechanism between natural products and NSP15 was investigated at the molecular level by molecular dynamics technology so that it is expected to become candidate drugs for the treatment of SARS-CoV-2. We hope that our research can provide new clue to combat COVID-19 and overcome the epidemic situation as soon as possible.

Indexed as

Antiviral AgentsBiological ProductsEndoribonucleasesSARS-CoV-2Viral Nonstructural ProteinsCOVID-19 Drug TreatmentHumansMolecular Docking SimulationMolecular Dynamics SimulationAntiviral AgentsBiological ProductsEndoribonucleasesnidoviral uridylate-specific endoribonucleaseViral Nonstructural ProteinsMD simulationnatural compoundsNSP15SARS-CoV-2virtual screening

Identifiers

PMID35128681
PMCPMC9114918

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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.