Evidence map›Paper›PMID 37366794›Full record

ArticleBiotech (Basel (Switzerland))2023

Docking Studies and Molecular Dynamics Simulations of Potential Inhibitors from the Brown Seaweed

Asmi Citra Malina A R Tassakka, Israini Wiyulanda Iskandar, Jamaluddin Fitrah Alam, Andi Dian Permana, Muhammad Nasrum Massi, Sulfahri, Jamaluddin Jompa, Lawrence Manzano Liao

Abstract read
In one paragraph

Article in Biotech (Basel (Switzerland)), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. [Application and progress of artificial intelligence agents in drug development].Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences · 2026
    Review
  2. Green algaeNarra J · 2023
    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

8 authors.

Asmi Citra Malina A R TassakkaFaculty of Marine Science and Fisheries, Universitas Hasanuddin, Makassar 90245, Indonesia.
Israini Wiyulanda IskandarBiomedicine, Graduate School, Universitas Hasanuddin, Makassar 90245, Indonesia.
Jamaluddin Fitrah AlamFaculty of Marine Science and Fisheries, Universitas Hasanuddin, Makassar 90245, Indonesia.ORCID 0000-0002-5946-9423
Andi Dian PermanaFaculty of Pharmacy, Universitas Hasanuddin, Makassar 90245, Indonesia.
Muhammad Nasrum MassiFaculty of Medicine, Universitas Hasanuddin, Makassar 90245, Indonesia.
SulfahriFaculty of Mathematics and Natural Sciences, Universitas Hasanuddin, Makassar 90245, Indonesia.
Jamaluddin JompaFaculty of Marine Science and Fisheries, Universitas Hasanuddin, Makassar 90245, Indonesia.ORCID 0000-0001-9740-333X
Lawrence Manzano LiaoGraduate School of Integrated Sciences for Life, Hiroshima University, Higashi-Hiroshima 739-8528, Japan.

Funding

Ministry of Research, Technology and Higher Education 6/E/WCU/2021
6 · The paper itself

Abstract

The COVID-19 disease is a major problem affecting human health all over the world. Consequently, researchers have been trying to find solutions to treat this pandemic-scale disease. Even if there are vaccines and approved drugs that could decrease the spread of this pandemic, multidisciplinary approaches are still needed to identify new small molecules as alternatives to combat COVID-19, especially those from nature. In this study, we employed computational approaches by screening 17 natural compounds from the tropical brown seaweed

Indexed as

algaecomputer modellingmolecular dockingnatural compoundsPhaeophyceaevirus

Identifiers

PMID37366794
PMCPMC10296136

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.