Evidence map›Paper›PMID 30269011›Full record

ReviewCurrent opinion in chemical biology2019

Enzymatic CH functionalizations for natural product synthesis.

Fuzhuo Li, Xiao Zhang, Hans Renata

Abstract readReview
In one paragraph

Review in Current opinion in chemical biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Mutexa: A Computational Ecosystem for Intelligent Protein Engineering.Journal of chemical theory and computation · 2023
    Review
  10. Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. Engineered and Artificial Metalloenzymes for Selective C-H Functionalization.Current opinion in green and sustainable chemistry · 2021
    Article
  17. Review
  18. Review
  19. Synthetic utility of one-pot chemoenzymatic reaction sequences.Synlett : accounts and rapid communications in synthetic organic chemistry · 2020
    Article
  20. 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

3 authors.

Fuzhuo LiDepartment of Chemistry, The Scripps Research Institute, 130 Scripps Way, Jupiter, FL 33458, USA.
Xiao ZhangDepartment of Chemistry, The Scripps Research Institute, 130 Scripps Way, Jupiter, FL 33458, USA.
Hans RenataDepartment of Chemistry, The Scripps Research Institute, 130 Scripps Way, Jupiter, FL 33458, USA. Electronic address: hrenata@scripps.edu.

Funding

Biocatalytic C-H Functionalization Logic in the Chemoenzymatic Synthesis of Therapeutic Natural ProductsR35GM128895 · NIGMS · UNIVERSITY OF FLORIDA · PI Hans Renata · 2018 to 2026
$3.7M
NIGMS NIH HHS R35 GM128895
6 · The paper itself

Abstract

Direct functionalization of CH bond is rapidly becoming an indispensible tool in chemical synthesis. However, due to the ubiquity of CH bonds, achieving site-selective functionalization remains an arduous task, especially on advanced synthetic intermediates or natural products. In contrast, Nature has evolved a multitude of enzymes capable of performing this task with extraordinary selectivity, and the use of these enzymes in organic synthesis may provide a viable solution to contemporary challenges in site-selective functionalization of complex molecules. This review covers recent applications of enzymatic CH functionalization strategies in natural product synthesis, both in the context of key building block preparation and late-stage functionalization of advanced synthetic intermediates.

Indexed as

Biological ProductsCarbonHydrogenBiological ProductsCarbonHydrogen

Identifiers

PMID30269011
PMCPMC6437013

What OpenQuestion holds

Textmetadata
LicenceTDM
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.