Evidence map›Paper›PMID 36100332›Full record

ArticleJournal of advanced research2022

Structure-based ligand design and discovery of novel tenuazonic acid derivatives with high herbicidal activity.

He Wang, Qin Yao, Yanjing Guo, Qian Zhang, Zhongchang Wang, Reto Jörg Strasser, Bernal E Valverde, Shiguo Chen, Sheng Qiang, Hazem M Kalaji

Open access · goldAbstract read
In one paragraph

Article in Journal of advanced research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

10 citing papers in PubMed, 30 citations in OpenAlex.

  1. Review
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  4. Current pharmaceutical design · 2026
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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

10 authors at 4 institutions in 4 countries.

He WangWeed Research Laboratory, Nanjing Agricultural University, Nanjing 210095, China.
Qin YaoWeed Research Laboratory, Nanjing Agricultural University, Nanjing 210095, China.
Yanjing GuoWeed Research Laboratory, Nanjing Agricultural University, Nanjing 210095, China.
Qian ZhangWeed Research Laboratory, Nanjing Agricultural University, Nanjing 210095, China.
Zhongchang WangState Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing 210023, China.
Reto Jörg StrasserWeed Research Laboratory, Nanjing Agricultural University, Nanjing 210095, China; Bioenergetics Laboratory, University of Geneva, CH-1254 Jussy/Geneva, Switzerland.
Bernal E ValverdeWeed Research Laboratory, Nanjing Agricultural University, Nanjing 210095, China; Investigación y Desarrollo en Agricultura Tropical, Alajuela 4050, Costa Rica.
Shiguo ChenWeed Research Laboratory, Nanjing Agricultural University, Nanjing 210095, China. Electronic address: chenshg@njau.edu.cn.
Sheng QiangWeed Research Laboratory, Nanjing Agricultural University, Nanjing 210095, China. Electronic address: wrl@njau.edu.cn.
Hazem M KalajiDepartment of Plant Physiology, Institute of Biology, Warsaw University of Life Sciences SGGW, 159 Nowoursynowska 159, 02-776 Warsaw, Poland.
Nanjing Agricultural University · CNNanjing University · CNUniversity of Geneva · CHWarsaw University of Life Sciences · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionComputer-aided design has become an important tool to develop novel pesticides based on natural lead compounds. Tenuazonic acid (TeA), a typical representative of the natural tetramic acid family, was patented as a potential bioherbicide. However, its herbicidal efficacy is still not up to the ideal standard of commercial products.

objectivesWe aim to find new TeA's derivatives with improved potency.

methodsMolecular docking was used to build ligand-acceptor interaction models, design and screen new derivatives. Phytotoxicity, oxygen evolution rate, chlorophyll fluorescence and herbicidal efficacy were determined to estimate biological activity of compounds.

resultsWith the aid of a constructed molecular model of natural lead molecule TeA binding to the Q

conclusionD6 and D13 are promising compounds to develop TeA-derived novel PSII herbicides with superior performance.

Indexed as

HerbicidesTenuazonic AcidLigandsMolecular Docking SimulationOxygenHerbicidesLigandsOxygenTenuazonic AcidD1 proteinDockingHomology modelingPhotosynthetic inhibitorTetramic acid

Identifiers

PMID36100332
PMCPMC9481958
OpenAlexW4200395173

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.