Evidence map›Paper›PMID 33041407›Full record

ArticleJournal of molecular liquids2020

Promising terpenes as SARS-CoV-2 spike receptor-binding domain (RBD) attachment inhibitors to the human ACE2 receptor: Integrated computational approach.

Ziyad Tariq Muhseen, Alaa R Hameed, Halah M H Al-Hasani, Muhammad Tahir Ul Qamar, Guanglin Li

Open access · hybridAbstract read
In one paragraph

Article in Journal of molecular liquids, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed
15.4field-weighted citation impact, top 1% 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

48 citing papers in PubMed, 101 citations in OpenAlex.

  1. Article
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  7. In Silico Models for Anti-COVID-19 Drug Discovery: A Systematic Review.Advances in pharmacological and pharmaceutical sciences · 2023
    Review
  8. Synthesis of conjugates of (aRussian chemical bulletin = Izvestiia Akademii nauk. Seriia khimicheskaia · 2023
    Article
  9. Potential of siRNA in COVID-19 therapy: Emphasis onFrontiers in bioengineering and biotechnology · 2023
    Review
  10. Article
  11. Article
  12. Toll-like Receptor Mediation in SARS-CoV-2: A Therapeutic Approach.International journal of molecular sciences · 2022
    Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. Multifaceted role of natural sources for COVID-19 pandemic as marine drugs.Environmental science and pollution research international · 2022
    Review
  18. Article
  19. Article
  20. Article
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

5 authors at 4 institutions in 2 countries.

Ziyad Tariq MuhseenKey Laboratory of Ministry of Education for Medicinal Plant Resource and Natural Pharmaceutical Chemistry, Shaanxi Normal University, Xi'an, China.
Alaa R HameedDepartment of Medical Laboratory Techniques, School of Life Sciences, Dijlah University College, Baghdad, Iraq.
Halah M H Al-HasaniDepartment of Biotechnology, College of Science, University of Diyala, Baqubah, Iraq.
Muhammad Tahir Ul QamarCollege of Life Science and Technology, Guangxi University, Nanning, China.
Guanglin LiKey Laboratory of Ministry of Education for Medicinal Plant Resource and Natural Pharmaceutical Chemistry, Shaanxi Normal University, Xi'an, China.
Shaanxi Normal University · CNDijlah University College · IQGuangxi University · CNUniversity of Diyala · IQ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The spike protein receptor binding domain (S-RBD) is a necessary corona-viral protein for binding and entry of coronaviruses (COVs) into the host cells. Hence, it has emerged as an attractive antiviral drug target. Therefore, present study was aimed to target severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) S-RBD with novel bioactive compounds to retrieve potential candidates that could serve as anti-coronavirus disease 2019 (COVID-19) drugs. In this paper, computational approaches were employed, especially the structure-based virtual screening followed by molecular dynamics (MD) simulation as well as binding energy analysis for the computational identification of specific terpenes from the medicinal plants, which can block SARS-CoV-2 S-RBD binding to Human angiotensin-converting enzyme 2 (H-ACE2) and can act as potent anti-COVID-19 drugs after further advancements. The screening of focused terpenes inhibitors database composed of ~1000 compounds with reported therapeutic potential resulted in the identification of three candidate compounds, NPACT01552, NPACT01557 and NPACT00631. These three compounds established conserved interactions, which were further explored through all-atom MD simulations, free energy calculations, and a residual energy contribution estimated by MM-PB(

Indexed as

Computer aided drug design and discoveryCOVID-19SARS-CoV-2Terpenes

Identifiers

PMID33041407
PMCPMC7538380
OpenAlexW3092123422

What OpenQuestion holds

Textmetadata
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.