Evidence map›Paper›PMID 34497907›Full record

ArticleACS omega2021

Turning the Actin Nucleating Compound Miuraenamide into Nucleation Inhibitors.

Shuaijun Wang, Maximilian Meixner, Lushuang Yu, Ling Zhuo, Lisa Karmann, Uli Kazmaier, Angelika M Vollmar, Iris Antes, Stefan Zahler

Abstract read
In one paragraph

Article in ACS omega, 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
–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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Actin stabilization in cell migration.Frontiers in cell and developmental biology · 2022
    Article
  6. 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

9 authors.

Shuaijun WangDepartment of Pharmacy, Ludwig-Maximilians-Universität, 81377 Munich, Germany.
Maximilian MeixnerComputational Chemical Biology, Technische Universität München, TUM School of Life Sciences, Emil-Erlenmeyer-Forum 8, 85354 Freising, Germany.
Lushuang YuDepartment of Pharmacy, Ludwig-Maximilians-Universität, 81377 Munich, Germany.
Ling ZhuoDepartment of Pharmacy, Ludwig-Maximilians-Universität, 81377 Munich, Germany.
Lisa KarmannOrganic Chemistry, Saarland University, 66123 Saarbrücken, Germany.
Uli KazmaierOrganic Chemistry, Saarland University, 66123 Saarbrücken, Germany.ORCID https://orcid.org/0000-0001-9756-0589
Angelika M VollmarDepartment of Pharmacy, Ludwig-Maximilians-Universität, 81377 Munich, Germany.
Iris AntesComputational Chemical Biology, Technische Universität München, TUM School of Life Sciences, Emil-Erlenmeyer-Forum 8, 85354 Freising, Germany.
Stefan ZahlerDepartment of Pharmacy, Ludwig-Maximilians-Universität, 81377 Munich, Germany.ORCID https://orcid.org/0000-0002-5140-7287

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Natural compounds that either increase or decrease polymerization of actin into filaments have become indispensable tools for cell biology. However, to date, it was not possible to use them as therapeutics due to their overall cytotoxicity and their unfavorable pharmacokinetics. Furthermore, their synthesis is in general quite complicated. In an attempt to find simplified analogues of miuraenamide, an actin nucleating compound, we identified derivatives with a paradoxical inversion of the mode of action: instead of increased nucleation, they caused an inhibition. Using an extensive computational approach, we propose a binding mode and a mode of action for one of these derivatives. Based on our findings, it becomes feasible to tune actin-binding compounds to one or the other direction and to generate new synthetic actin binders with increased functional selectivity.

Identifiers

PMID34497907
PMCPMC8412923

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Registered trials

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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.