Evidence map›Paper›PMID 34772509›Full record

ArticleComputers in biology and medicine2022

Abrogation of SARS-CoV-2 interaction with host (NRP1) neuropilin-1 receptor through high-affinity marine natural compounds to curtail the infectivity: A structural-dynamics data.

Fahad Humayun, Abbas Khan, Sajjad Ahmad, Wang Yuchen, Guoshen Wei, N Nizam-Uddin, Zahid Hussain, Wajid Khan, Nasib Zaman, Muhammad Rizwan and 2 more

Abstract read
In one paragraph

Article in Computers in biology and medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Review
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  4. Article
  5. TargetingMolecules (Basel, Switzerland) · 2023
    Article
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  7. Article
  8. Article
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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

12 authors.

Fahad HumayunDepartment of Bioinformatics and Biological Statistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, PR China. Electronic address: fahadhamayun@sjtu.edu.cn.
Abbas KhanDepartment of Bioinformatics and Biological Statistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, PR China. Electronic address: abbaskhan@sjtu.edu.cn.
Sajjad AhmadDepartment of Health and Biological Sciences, Abasyn University, Khyber Pakhtunkhwa, Pakistan. Electronic address: sahmad@bs.qau.edupk.
Wang YuchenBeijing 161 High School, No. 94, Nanheng West Street, Xicheng District, Beijing, PR China. Electronic address: 772961234@qq.com.
Guoshen WeiYangpu High School, Yangpu, Shanghai, PR China. Electronic address: 2178970883@qq.com.
N Nizam-UddinBiomedical Engineering Department, HITEC University, Taxila, Pakistan. Electronic address: nizam.uddin@hitecuni.edu.pk.
Zahid HussainCenter for Biotechnology and Microbiology, University of Swat, Swat, KP, Pakistan.
Wajid KhanCenter for Biotechnology and Microbiology, University of Swat, Swat, KP, Pakistan.
Nasib ZamanCenter for Biotechnology and Microbiology, University of Swat, Swat, KP, Pakistan.
Muhammad RizwanCenter for Biotechnology and Microbiology, University of Swat, Swat, KP, Pakistan.
Muhammad WaseemFaculty of Rehabilitation and Allied Health Science, Riphah International University, Islamabad, Pakistan.
Dong-Qing WeiDepartment of Bioinformatics and Biological Statistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, PR China; Peng Cheng Laboratory, Vanke Cloud City Phase I Building 8, Xili Street, Nashan District, Shenzhen, Guangdong, 518055, PR China; State Key Laboratory of Microbial Metabolism, Shanghai-Islamabad-Belgrade Joint Innovation Center on Antibacterial Resistances, Joint Laboratory of International Cooperation in Metabolic and Developmental Sciences, Ministry of Education and School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200030, PR China. Electronic address: dqwei@sjtu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The evolution of new severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants around the globe has made the coronavirus disease 2019 (COVID-19) pandemic more worrisome, pressuring the health care system and resulting in an increased mortality rate. Recent studies recognized neuropilin-1 (NRP1) as a key facilitator in the invasion of the new SARS-CoV-2 into the host cell. Therefore, it is considered an imperative drug target for the treatment of COVID-19. Hence, a thorough analysis was needed to understand the impact and to guide new therapeutics development. In this study, we used structural and biomolecular simulation techniques to identify novel marine natural products which could block this receptor and stop the virus entry. We discovered that the binding affinity of CMNPD10175, CMNPD10017, CMNPD10114, CMNPD10115, CMNPD10020. CMNPD10018, CMNPD10153, CMNPD10149 CMNPD10464 and CMNPD10019 were substantial during the virtual screening (VS). We further explored these compounds by analyzing their absorption, distribution, metabolism, and excretion and toxicity (ADMET) properties and structural-dynamics features. Free energy calculations further established that all the compounds exhibit stronger binding energy for NRP1. Consequently, we hypothesized that these compounds might be the best lead candidates for therapeutic interventions hindering virus binding to the host cell. This study provides a strong impetus to develop novel drugs against the SARS-CoV-2 by targeting NRP1.

Indexed as

SARS-CoV-2Virus InternalizationBiological ProductsCOVID-19HumansMolecular Docking SimulationMolecular Dynamics SimulationNeuropilin-1PandemicsBiological ProductsNeuropilin-1NRP1 protein, humanBiophysical simulationKD. (dissociation constant)Marine natural productsNRP1SARS-CoV-2Virtual drugs screening

Identifiers

PMID34772509
PMCPMC8324387

What OpenQuestion holds

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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.