Evidence map›Paper›PMID 23609094›Full record

ArticleNature chemistry2013

Label-assisted mass spectrometry for the acceleration of reaction discovery and optimization.

Jaime R Cabrera-Pardo, David I Chai, Song Liu, Milan Mrksich, Sergey A Kozmin

Abstract read
In one paragraph

Article in Nature chemistry, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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  5. Article
  6. Photoionization of pyrenemethylamine-labeled oligosaccharides: a new MALDI-TOF precursor ion-type for efficient fragmentation.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2025
    Article
  7. Article
  8. Article
  9. Machine-Learning-Guided Discovery of Electrochemical Reactions.Journal of the American Chemical Society · 2022
    Article
  10. High-Throughput Platform for Novel Reaction Discovery.Chemistry (Weinheim an der Bergstrasse, Germany) · 2022
    Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. High-throughput photocapture approach for reaction discovery.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  20. 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

5 authors.

Jaime R Cabrera-PardoDepartment of Chemistry (Chicago Tri-Institutional Centre for Chemical Methods and Library Development), University of Chicago, Chicago, Illinois 60637, USA.
David I Chai
Song Liu
Milan Mrksich
Sergey A Kozmin

Funding

Chicago Tri-Institutional Center for Chemical Methods and Library DevelopmentP50GM086145 · NIGMS · UNIVERSITY OF CHICAGO · PI KOZMIN, SERGEY A · 2008 to 2012
$9.9M
NIGMS NIH HHS P50 GM086145
6 · The paper itself

Abstract

The identification of new reactions expands our knowledge of chemical reactivity and enables new synthetic applications. Accelerating the pace of this discovery process remains challenging. We describe a highly effective and simple platform for screening a large number of potential chemical reactions in order to discover and optimize previously unknown catalytic transformations, thereby revealing new chemical reactivity. Our strategy is based on labelling one of the reactants with a polyaromatic chemical tag, which selectively undergoes a photoionization/desorption process upon laser irradiation, without the assistance of an external matrix, and enables rapid mass spectrometric detection of any products originating from such labelled reactants in complex reaction mixtures without any chromatographic separation. This method was successfully used for high-throughput discovery and subsequent optimization of two previously unknown benzannulation reactions.

Indexed as

Drug DiscoverySpectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization

Identifiers

PMID23609094
PMCPMC4512672

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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.