Evidence map›Paper›PMID 35357832›Full record

ReviewJournal of natural products2022

Autoxidation of a C2-Olefinated Dihydroartemisinic Acid Analogue to Form an Aromatic Ring: Application to Serrulatene Biosynthesis.

Kaitlyn Varela, Hafij Al Mahmud, Hadi D Arman, Luis R Martinez, Catherine A Wakeman, Francis K Yoshimoto

Open access · greenAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Journal of natural products, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 33% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Review
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

6 authors at 3 institutions in 1 country.

Kaitlyn VarelaDepartment of Chemistry, The University of Texas at San Antonio (UTSA), San Antonio, Texas 78249, United States.
Hafij Al MahmudBiological Sciences, Texas Tech University, Lubbock, Texas 79409, United States.
Hadi D ArmanDepartment of Chemistry, The University of Texas at San Antonio (UTSA), San Antonio, Texas 78249, United States.
Luis R MartinezDepartment of Oral Biology, University of Florida College of Dentistry, Center for Immunology and Transplantation, Center for Translational Research in Neurodegenerative Disease, and The Emerging Pathogens Institute, Gainesville, Florida 32610, United States.
Catherine A WakemanBiological Sciences, Texas Tech University, Lubbock, Texas 79409, United States.ORCID 0000-0003-0311-6669
Francis K YoshimotoDepartment of Chemistry, The University of Texas at San Antonio (UTSA), San Antonio, Texas 78249, United States.ORCID 0000-0002-2308-2999
The University of Texas at San Antonio · USTexas Tech University · USUniversity of Florida · US

Funding

Unraveling Cryptococcus neoformans mechanisms of brain invasion and colonizationR01AI145559 · NIAID · UNIVERSITY OF TEXAS EL PASO · PI MARTINEZ, LUIS R · 2019 to 2023
$2.6M
Physiological profiling of Pseudomonas aeruginosa biofilm subpopulationsR15GM128072 · NIGMS · TEXAS TECH UNIVERSITY · PI WAKEMAN, CATHERINE ANN · 2018 to 2018
$432k
NIAID NIH HHS R01 AI145559NIGMS NIH HHS R15 GM128072
6 · The paper itself

Abstract

Dihydroartemisinic acid (DHAA) is a plant natural product that undergoes a spontaneous endoperoxide-forming cascade reaction to yield artemisinin in the presence of air. The endoperoxide functional group gives artemisinin its biological activity that kills

Indexed as

AntimalarialsBiological ProductsMalariaArtemisininsHumansAntimalarialsArtemisininsBiological Productsdihydroartemisinic acid

Identifiers

PMID35357832
PMCPMC9035337
OpenAlexW4220980371

What OpenQuestion holds

Textmetadata
LicenceTDM
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.