Evidence map›Paper›PMID 33274267›Full record

ReviewACS central science2020

Unconventional Macrocyclizations in Natural Product Synthesis.

Iakovos Saridakis, Daniel Kaiser, Nuno Maulide

Abstract readReview
In one paragraph

Review in ACS central science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Cyclization by Intramolecular Suzuki-Miyaura Cross-Coupling-A Review.Chemistry (Weinheim an der Bergstrasse, Germany) · 2025
    Review
  6. Article
  7. Review
  8. Article
  9. Total Synthesis FacilitatesJournal of the American Chemical Society · 2024
    Article
  10. Article
  11. Article
  12. Article
  13. Planar Chirality: A Mine for Catalysis and Structure Discovery.Angewandte Chemie (International ed. in English) · 2022
    Review
  14. Total Synthesis of Pulvomycin D.Chemistry (Weinheim an der Bergstrasse, Germany) · 2022
    Article
  15. Chirality-matched catalyst-controlled macrocyclization reactions.Proceedings of the National Academy of Sciences of the United States of America · 2021
    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.

Iakovos SaridakisInstitute of Organic Chemistry, University of Vienna, Währinger Strasse 38, 1090 Vienna, Austria.
Daniel KaiserInstitute of Organic Chemistry, University of Vienna, Währinger Strasse 38, 1090 Vienna, Austria.
Nuno MaulideInstitute of Organic Chemistry, University of Vienna, Währinger Strasse 38, 1090 Vienna, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over the past several decades, macrocyclic compounds have emerged as increasingly significant therapeutic candidates in drug discovery. Their pharmacological activity hinges on their rotationally restricted three-dimensional orientation, resulting in a unique conformational preorganization and a high enthalpic gain as a consequence of high-affinity macrocycle-protein binding interactions. Synthetic access to macrocyclic drug candidates is therefore crucial. From a synthetic point of view, the efficiency of macrocyclization events commonly suffers from entropic penalties as well as undesired intermolecular couplings (oligomerization). Although over the past several decades ring-closing metathesis, macrolactonization, or macrolactamization have become strategies of choice, the toolbox of organic synthesis provides a great number of versatile transformations beyond the aforementioned. This Outlook focuses on a selection of examples employing what we term

Identifiers

PMID33274267
PMCPMC7706100

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.