Evidence map›Paper›PMID 28826221›Full record

ReviewBiochemistry2017

Genomic Enzymology: Web Tools for Leveraging Protein Family Sequence-Function Space and Genome Context to Discover Novel Functions.

John A Gerlt

Abstract readReview
In one paragraph

Review in Biochemistry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 93 papers.

0numbers the graph read from it
0cells of the map it votes in
93citing papers in PubMed
15.1field-weighted citation impact, top 1% 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

93 citing papers in PubMed, 192 citations in OpenAlex.

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  7. Trojan horse peptide conjugates remodel the activity spectrum of clinical antibiotics.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  8. Substrate-Multiplexed Assessment of Aromatic Prenyltransferase Activity.Chembiochem : a European journal of chemical biology · 2025
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33 more citing papers are in PubMed but not listed here.

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

1 author at 1 institution in 1 country.

John A GerltDepartments of Biochemistry and Chemistry, Institute for Genomic Biology, University of Illinois , Urbana-Champaign Urbana, Illinois 61801, United States.ORCID 0000-0002-5625-1218
University of Illinois Urbana-Champaign · US

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 exponentially increasing number of protein and nucleic acid sequences provides opportunities to discover novel enzymes, metabolic pathways, and metabolites/natural products, thereby adding to our knowledge of biochemistry and biology. The challenge has evolved from generating sequence information to mining the databases to integrating and leveraging the available information, i.e., the availability of "genomic enzymology" web tools. Web tools that allow identification of biosynthetic gene clusters are widely used by the natural products/synthetic biology community, thereby facilitating the discovery of novel natural products and the enzymes responsible for their biosynthesis. However, many novel enzymes with interesting mechanisms participate in uncharacterized small-molecule metabolic pathways; their discovery and functional characterization also can be accomplished by leveraging information in protein and nucleic acid databases. This Perspective focuses on two genomic enzymology web tools that assist the discovery novel metabolic pathways: (1) Enzyme Function Initiative-Enzyme Similarity Tool (EFI-EST) for generating sequence similarity networks to visualize and analyze sequence-function space in protein families and (2) Enzyme Function Initiative-Genome Neighborhood Tool (EFI-GNT) for generating genome neighborhood networks to visualize and analyze the genome context in microbial and fungal genomes. Both tools have been adapted to other applications to facilitate target selection for enzyme discovery and functional characterization. As the natural products community has demonstrated, the enzymology community needs to embrace the essential role of web tools that allow the protein and genome sequence databases to be leveraged for novel insights into enzymological problems.

Indexed as

InternetSoftwareAnimalsEnzymesGenomicsHumansSequence Analysis, ProteinEnzymes

Identifiers

PMID28826221
PMCPMC5569362
OpenAlexW2746223987

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.