Evidence map›Paper›PMID 32943150›Full record

ArticleMethods in enzymology2020

Strategies for the expression and characterization of artificial myoglobin-based carbene transferases.

Daniela M Carminati, Eric J Moore, Rudi Fasan

Open access · greenAbstract read
In one paragraph

Article in Methods in enzymology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.9field-weighted citation impact, top 13% of its field
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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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 at 1 institution in 1 country.

Daniela M CarminatiDepartment of Chemistry, University of Rochester, Rochester, NY, United States.
Eric J MooreDepartment of Chemistry, University of Rochester, Rochester, NY, United States.
Rudi FasanDepartment of Chemistry, University of Rochester, Rochester, NY, United States. Electronic address: rfasan@ur.rochester.edu.
University of Rochester · US

Funding

Selective P450 Oxidation Catalysts for Synthesis of Bioactive MoleculesR01GM098628 · NIGMS · UNIVERSITY OF TEXAS DALLAS · PI FASAN, RUDI · 2012 to 2024
$4.7M
NIH Training Grant in the Chemistry-Biology InterfaceT32GM118283 · NIGMS · UNIVERSITY OF ROCHESTER · PI BREN, KARA L., FASAN, RUDI · 2017 to 2021
$850k
NIGMS NIH HHS R01 GM098628NIGMS NIH HHS T32 GM118283
6 · The paper itself

Abstract

Myoglobin has recently emerged as a versatile metalloprotein scaffold for the design of efficient and selective biocatalysts for abiological carbene transfer reactions, including asymmetric cyclopropanation reactions. Over the past few years, our group has explored several strategies to modulate the carbene transfer reactivity of myoglobin-based catalysts, including the substitution of the native heme cofactor and conserved histidine axial ligand with non-native porphynoid ligands and alternative natural and unnatural amino acids as the metal-coordinating ligands, respectively. Herein, we report protocols for the generation and reconstitution in vitro and in vivo of myoglobin-based artificial carbene transferases incorporating non-native iron-porphynoid cofactors, also in combination with unnatural amino acids as the proximal ligand. These strategies are effective for imparting these myoglobin-based cyclopropanation biocatalysts with altered and improved function, including tolerance to aerobic conditions and improved reactivity toward electrondeficient olefins.

Indexed as

MetalloproteinsMyoglobinMethaneTransferasescarbeneMetalloproteinsMethaneMyoglobinTransferasesArtificial metalloenzymeCarbene transfer catalysisMyoglobinNoncanonical amino acidsPorphyrinoids

Identifiers

PMID32943150
PMCPMC8325922
OpenAlexW3048130011

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.