Evidence map›Paper›PMID 33418450›Full record

ReviewCurrent opinion in biotechnology2021

Discovery of new enzymatic functions and metabolic pathways using genomic enzymology web tools.

Remi Zallot, Nils Oberg, John A Gerlt

Abstract readReview
In one paragraph

Review in Current opinion in biotechnology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Article
  2. Article
  3. Discovery of the Phosphonate Flavophos Produced byJournal of the American Chemical Society · 2026
    Article
  4. Discovery of the Phosphonate Flavophos Produced bybioRxiv : the preprint server for biology · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Biosynthesis and function of 7-deazaguanine derivatives in bacteria and phages.Microbiology and molecular biology reviews : MMBR · 2024
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. An informatic workflow for the enhanced annotation of excretory/secretory proteins ofComputational and structural biotechnology journal · 2023
    Article
  18. Review
  19. Review
  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

3 authors.

Remi ZallotCarl. R. Woese Institute for Genomic Biology, University of Illinois, Urbana, Illinois 61801, United States; Institute of Life Sciences, Swansea University Medical School, Swansea SA2 8PP, Wales, United Kingdom.
Nils ObergCarl. R. Woese Institute for Genomic Biology, University of Illinois, Urbana, Illinois 61801, United States.
John A GerltCarl. R. Woese Institute for Genomic Biology, University of Illinois, Urbana, Illinois 61801, United States; Departments of Biochemistry and Chemistry, University of Illinois, Urbana, Illinois 61801, United States. Electronic address: j-gerlt@illinois.edu.

Funding

Core H: MicrobiologyU54GM093342 · NIGMS · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI GERLT, JOHN A · 2010 to 2015
$34.6M
Protein/Structure CoreP01GM118303 · NIGMS · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI GERLT, JOHN A · 2016 to 2020
$11.4M
NIGMS NIH HHS P01 GM118303NIGMS NIH HHS U54 GM093342
6 · The paper itself

Abstract

The continuing expansion of protein and genome sequence databases is an opportunity to identify novel enzymes with biotechnological applications. Whether applied to enzymology, chemical biology, systems biology, and microbiology, database mining must be 'user-friendly' so that experimentalists can devise focused strategies to discover the in vitro activities and in vivo functions of uncharacterized enzymes. We developed a suite of genomic enzymology tools (https://efi.igb.illinois.edu/) to (1) generate sequence similarity networks (SSNs) for exploration of sequence-function space in protein families (EFI-EST) and (2) provide genome context for members of protein families (EFI-GNT). Integrated analysis of this complementary information allows to generate testable hypotheses about new functions. After a brief overview of EFI-EST and EFI-GNT, we describe applications that illustrate their use.

Indexed as

GenomeGenomicsHumansMetabolic Networks and Pathways

Identifiers

PMID33418450
PMCPMC8238782

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.