Evidence map›Paper›PMID 32476574›Full record

ArticleJournal of biomolecular structure & dynamics2021

Virtual screening-driven drug discovery of SARS-CoV2 enzyme inhibitors targeting viral attachment, replication, post-translational modification and host immunity evasion infection mechanisms.

Mark Tristan J Quimque, Kin Israel R Notarte, Rey Arturo T Fernandez, Mark Andrew O Mendoza, Rhenz Alfred D Liman, Justin Allen K Lim, Luis Agustin E Pilapil, Jehiel Karsten H Ong, Adriel M Pastrana, Abbas Khan and 2 more

Open access · greenAbstract read
In one paragraph

Article in Journal of biomolecular structure & dynamics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
68citing papers in PubMed, 1 pooled it
16.2field-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

68 citing papers in PubMed, 1 synthesis or guideline pooled it, 132 citations in OpenAlex.

  1. Pooled it
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  17. Inhibitory Activity ofPlants (Basel, Switzerland) · 2023
    Article
  18. Article
  19. In Silico Models for Anti-COVID-19 Drug Discovery: A Systematic Review.Advances in pharmacological and pharmaceutical sciences · 2023
    Review
  20. Review

8 more citing papers are in PubMed but not listed here.

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 at 4 institutions in 4 countries.

Mark Tristan J QuimqueLaboratory for Organic Reactivity, Discovery and Synthesis (LORDS), Research Center for the Natural and Applied Sciences, University of Santo Tomas, Manila, Philippines.ORCID https://orcid.org/0000-0003-0269-5590
Kin Israel R NotarteFaculty of Medicine and Surgery, University of Santo Tomas, Manila, Philippines.
Rey Arturo T FernandezFaculty of Medicine and Surgery, University of Santo Tomas, Manila, Philippines.
Mark Andrew O MendozaLaboratory for Organic Reactivity, Discovery and Synthesis (LORDS), Research Center for the Natural and Applied Sciences, University of Santo Tomas, Manila, Philippines.
Rhenz Alfred D LimanThe Graduate School, University of Santo Tomas, Manila, Philippines.
Justin Allen K LimLaboratory for Organic Reactivity, Discovery and Synthesis (LORDS), Research Center for the Natural and Applied Sciences, University of Santo Tomas, Manila, Philippines.
Luis Agustin E PilapilLaboratory for Organic Reactivity, Discovery and Synthesis (LORDS), Research Center for the Natural and Applied Sciences, University of Santo Tomas, Manila, Philippines.
Jehiel Karsten H OngLaboratory for Organic Reactivity, Discovery and Synthesis (LORDS), Research Center for the Natural and Applied Sciences, University of Santo Tomas, Manila, Philippines.
Adriel M PastranaFaculty of Medicine and Surgery, University of Santo Tomas, Manila, Philippines.
Abbas KhanDepartment of Bioinformatics and Biostatistics, State Key Laboratory of Microbial Metabolism, Shanghai Jiao Tong University, Shanghai, China.
Dong-Qing WeiDepartment of Bioinformatics and Biostatistics, State Key Laboratory of Microbial Metabolism, Shanghai Jiao Tong University, Shanghai, China.
Allan Patrick G MacabeoLaboratory for Organic Reactivity, Discovery and Synthesis (LORDS), Research Center for the Natural and Applied Sciences, University of Santo Tomas, Manila, Philippines.ORCID https://orcid.org/0000-0001-7972-106X
Laboratoire de Synthèse Organique · FRUniversity of Santo Tomas · PHShanghai Jiao Tong University · CNMindanao State University – Iligan Institute of Technology · PH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The novel coronavirus SARS-CoV2, the causative agent of the pandemic disease COVID-19, emerged in December 2019 forcing lockdown of communities in many countries. The absence of specific drugs and vaccines, the rapid transmission of the virus, and the increasing number of deaths worldwide necessitated the discovery of new substances for anti-COVID-19 drug development. With the aid of bioinformatics and computational modelling, ninety seven antiviral secondary metabolites from fungi were docked onto five SARS-CoV2 enzymes involved in viral attachment, replication, post-translational modification, and host immunity evasion infection mechanisms followed by molecular dynamics simulation and

Indexed as

COVID-19RNA, ViralCommunicable Disease ControlDrug DiscoveryEndoplasmic Reticulum Chaperone BiPEnzyme InhibitorsHumansMolecular Docking SimulationProtein Processing, Post-TranslationalSARS-CoV-2Virus AttachmentEndoplasmic Reticulum Chaperone BiPEnzyme InhibitorsHSPA5 protein, humanRNA, ViralADMETantiviralCOVID-19fungal natural productsmolecular dockingmolecular dynamicsSARS-CoV2

Identifiers

PMID32476574
PMCPMC7309309
OpenAlexW3032777307

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.