Evidence map›Paper›PMID 31648409›Full record

ArticleChemistry (Weinheim an der Bergstrasse, Germany)2019

A Screening Platform to Identify and Tailor Biocompatible Small-Molecule Catalysts.

Rudy Rubini, Ilya Ivanov, Clemens Mayer

Abstract read
In one paragraph

Article in Chemistry (Weinheim an der Bergstrasse, Germany), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. AddictingACS chemical biology · 2020
    Article
  8. A Screening Platform to Identify and Tailor Biocompatible Small-Molecule Catalysts.Chemistry (Weinheim an der Bergstrasse, Germany) · 2019
    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

3 authors.

Rudy RubiniStratingh Institute for Chemistry, University of Groningen, Nijenborgh 4, 9474, AG, Groningen, The Netherlands.ORCID http://orcid.org/0000-0001-8461-7056
Ilya IvanovStratingh Institute for Chemistry, University of Groningen, Nijenborgh 4, 9474, AG, Groningen, The Netherlands.ORCID http://orcid.org/0000-0002-3774-2089
Clemens MayerStratingh Institute for Chemistry, University of Groningen, Nijenborgh 4, 9474, AG, Groningen, The Netherlands.ORCID http://orcid.org/0000-0002-6495-9873

Funding

Nederlandse Organisatie voor Wetenschappelijk Onderzoek 722.017.007
6 · The paper itself

Abstract

Interfacing biocompatible, small-molecule catalysis with cellular metabolism promises a straightforward introduction of new function into organisms without the need for genetic manipulation. However, identifying and optimizing synthetic catalysts that perform new-to-nature transformations under conditions that support life is a cumbersome task. To enable the rapid discovery and fine-tuning of biocompatible catalysts, we describe a 96-well screening platform that couples the activity of synthetic catalysts to yield non-canonical amino acids from appropriate precursors with the subsequent incorporation of these nonstandard building blocks into GFP (quantifiable readout). Critically, this strategy does not only provide a common readout (fluorescence) for different reaction/catalyst combinations, but also informs on the organism's fitness, as stop codon suppression relies on all steps of the central dogma of molecular biology. To showcase our approach, we have applied it to the evaluation and optimization of transition-metal-catalyzed deprotection reactions.

Indexed as

biocompatible catalysiscatalyst screeningmetabolismnon-canonical amino acidsuncaging

Identifiers

PMID31648409
PMCPMC6972700

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.