Evidence map›Paper›PMID 33181114›Full record

ArticleChemico-biological interactions2020

In silico analysis of selected alkaloids against main protease (M

Saksham Garg, Arpita Roy

Open access · greenAbstract read
In one paragraph

Article in Chemico-biological interactions, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
6.9field-weighted citation impact, top 2% 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

27 citing papers in PubMed, 66 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Unveiling potent Schiff base derivatives with selective xanthine oxidase inhibition:Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2024
    Article
  5. Future virology · 2023
    Article
  6. A Review ofMolecules (Basel, Switzerland) · 2023
    Review
  7. Alkaloids as potential antivirals. A comprehensive review.Natural products and bioprospecting · 2023
    Review
  8. Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Identification of Potential Poly (ADP-Ribose) Polymerase-1 Inhibitors Derived fromEvidence-based complementary and alternative medicine : eCAM · 2022
    Article
  15. Potential of Natural Alkaloids From Jadwar (Frontiers in molecular biosciences · 2022
    Article
  16. Structure-Based In Silico Investigation of Agonists for Proteins Involved in Breast Cancer.Evidence-based complementary and alternative medicine : eCAM · 2022
    Article
  17. Inhibition of the main protease of SARS-CoV-2 (MComputational and structural biotechnology journal · 2022
    Review
  18. Evaluation of bioactive compounds fromVegetos (Bareilly, India) · 2022
    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

2 authors at 2 institutions in 1 country.

Saksham GargDepartment of Biotechnology, Delhi Technological University, Delhi, India.
Arpita RoyDepartment of Biotechnology, School of Engineering & Technology, Sharda University, Greater Noida, India; Department of Biotechnology, Delhi Technological University, Delhi, India. Electronic address: arbt2014@gmail.com.
Delhi Technological University · INSharda University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the present situation, COVID-19 has become the global health concern due to its high contagious nature. It initially appeared in December 2019 in Wuhan, China and now affected more than 190 countries. As of now preventive measures are the sole solution to stop this disease for further transmission from person to person transmissions as there is no effective treatment or vaccine available to date. Research and development of new molecule is a laborious process; therefore, drug repurposing can be an alternative solution that involves the identification of potential compounds from the already available data. Alkaloids are potential source of therapeutic agents which might be able to treat novel COVID-19. Therefore, in the present study, twenty potential alkaloid molecules that possess antiviral activity against different viral diseases have taken into consideration and scrutinized using Lipinski's rule. Then out of twenty compounds seventeen were further selected for docking study. Docking study was performed using Autodock software and the best four molecule which provides maximum negative binding energy was selected for further analysis. Two alkaloids namely thalimonine and sophaline D showed potential activity to inhibit the M

Indexed as

AlkaloidsAntiviral AgentsCatalytic DomainCoronavirus 3C ProteasesCysteine Proteinase InhibitorsLigandsMolecular Docking SimulationMolecular Dynamics SimulationProtein BindingProtein Structure, SecondarySARS-CoV-23C-like proteinase, SARS-CoV-2AlkaloidsAntiviral AgentsCoronavirus 3C ProteasesCysteine Proteinase InhibitorsLigandsAlkaloidsAntiviral drugCOVID-19DockingMolecular dynamics

Identifiers

PMID33181114
PMCPMC7649659
OpenAlexW3098424229

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.