Evidence map›Paper›PMID 34660817›Full record

ArticleFuture journal of pharmaceutical sciences2021

Computational guided identification of potential leads from

James H Zothantluanga, Neelutpal Gogoi, Anshul Shakya, Dipak Chetia, H Lalthanzara

Open access · diamondAbstract read
In one paragraph

Article in Future journal of pharmaceutical sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.0field-weighted citation impact, top 8% 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

6 citing papers in PubMed, 25 citations in OpenAlex.

  1. 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

5 authors at 2 institutions in 1 country.

James H ZothantluangaDepartment of Pharmaceutical Sciences, Faculty of Science and Engineering, Dibrugarh University, Dibrugarh, Assam 786004 India.ORCID 0000-0002-0504-8738
Neelutpal GogoiDepartment of Pharmaceutical Sciences, Faculty of Science and Engineering, Dibrugarh University, Dibrugarh, Assam 786004 India.ORCID https://orcid.org/0000-0001-5419-3942
Anshul ShakyaDepartment of Pharmaceutical Sciences, Faculty of Science and Engineering, Dibrugarh University, Dibrugarh, Assam 786004 India.ORCID https://orcid.org/0000-0002-8232-4476
Dipak ChetiaDepartment of Pharmaceutical Sciences, Faculty of Science and Engineering, Dibrugarh University, Dibrugarh, Assam 786004 India.ORCID https://orcid.org/0000-0002-1989-9437
H LalthanzaraDepartment of Zoology, Pachhunga Univeristy College, Aizawl, Mizoram 796001 India.ORCID https://orcid.org/0000-0002-2625-9438
Dibrugarh University · INMizoram University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCoronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) started in 2019 and is still an on-going pandemic. SARS-CoV-2 uses a human protease called furin to aid in cellular entry and its main protease (M

resultsA total of 29 phytocompounds were reported to be isolated from

conclusionThe present study found isovitexin as the most promising phytocompound to potentially inhibit the cellular entry and viral replication of SARS-CoV-2. We also conclude that compounds having oxygen atom at position 18 (C-ring), -OH group at position 19 (A-ring), and 6-C-glucoside attached to the A-ring at position 3 on a C

Indexed as

Apigenin-6-C-glucosideCOVID-19FurinIsovitexinMain proteaseMolecular dockingSARS-CoV-2

Identifiers

PMID34660817
PMCPMC8502097
OpenAlexW3205953924

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.