Evidence map›Paper›PMID 33197748›Full record

ReviewCurrent opinion in chemical biology2021

Discovery of novel pathways for carbohydrate metabolism.

Tyler M M Stack, John A Gerlt

Abstract readReview
In one paragraph

Review in Current opinion in chemical biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. 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

2 authors.

Tyler M M StackCarl. R. Woese Institute for Genomic Biology, University of Illinois, Urbana, IL 61801, United States.
John A GerltCarl. R. Woese Institute for Genomic Biology, University of Illinois, Urbana, IL 61801, United States; Departments of Biochemistry and Chemistry, University of Illinois, Urbana, IL 61801, United States. Electronic address: j-gerlt@igb.illinois.edu.

Funding

Protein/Structure CoreP01GM118303 · NIGMS · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI GERLT, JOHN A · 2016 to 2020
$11.4M
NIGMS NIH HHS P01 GM118303
6 · The paper itself

Abstract

Closing the gap between the increasing availability of complete genome sequences and the discovery of novel enzymes in novel metabolic pathways is a significant challenge. Here, we review recent examples of assignment of in vitro enzymatic activities and in vivo metabolic functions to uncharacterized proteins, with a focus on enzymes and metabolic pathways involved in the catabolism and biosynthesis of monosaccharides and polysaccharides. The most effective approaches are based on analyses of sequence-function space in protein families that provide clues for the predictions of the functions of the uncharacterized enzymes. As summarized in this Opinion, this approach allows the discovery of the catabolism of new molecules, new pathways for common molecules, and new enzymatic chemistries.

Indexed as

Carbohydrate MetabolismMetabolic Networks and PathwaysPolysaccharidesPolysaccharidesCarbohydrate metabolismGenome neighborhood networksSequence similarity networks

Identifiers

PMID33197748
PMCPMC8106617

What OpenQuestion holds

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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.