Evidence map›Paper›PMID 28398567›Full record

ReviewBriefings in bioinformatics2018

Bioinformatics tools for the identification of gene clusters that biosynthesize specialized metabolites.

Arvind K Chavali, Seung Y Rhee

Open access · bronzeAbstract readReview
In one paragraph

Review in Briefings in bioinformatics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed, 1 pooled it
5.2field-weighted citation impact, top 4% 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

59 citing papers in PubMed, 1 synthesis or guideline pooled it, 124 citations in OpenAlex.

  1. BioprospectingFrontiers in fungal biology · 2021
    Pooled it
  2. Review
  3. Article
  4. Draft Genome Sequence ofMicroorganisms · 2026
    Article
  5. Review
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  7. Review
  8. mCancer communications (London, England) · 2025
    Article
  9. Whole genome analysis of Stenotrophomonas geniculata MK2 and antagonism against Botrytis cinerea in strawberry.International microbiology : the official journal of the Spanish Society for Microbiology · 2025
    Article
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  11. Review
  12. Article
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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 at 2 institutions in 1 country.

Arvind K ChavaliDepartment of Plant Biology, Carnegie Institution for Science, Stanford, CA, USA.
Seung Y RheeDepartment of Plant Biology, Carnegie Institution for Science, Stanford, CA, USA.
Carnegie Institution for Science · USDepartment of Plant Biology · US

Funding

An integrated pipeline for accelerated plant natural product discoveryU01GM110699 · NIGMS · STANFORD UNIVERSITY · PI SMOLKE, CHRISTINA D · 2015 to 2019
$4.5M
NIGMS NIH HHS U01 GM110699
6 · The paper itself

Abstract

Specialized metabolites (also called natural products or secondary metabolites) derived from bacteria, fungi, marine organisms and plants constitute an important source of antibiotics, anti-cancer agents, insecticides, immunosuppressants and herbicides. Many specialized metabolites in bacteria and fungi are biosynthesized via metabolic pathways whose enzymes are encoded by clustered genes on a chromosome. Metabolic gene clusters comprise a group of physically co-localized genes that together encode enzymes for the biosynthesis of a specific metabolite. Although metabolic gene clusters are generally not known to occur outside of microbes, several plant metabolic gene clusters have been discovered in recent years. The discovery of novel metabolic pathways is being enabled by the increasing availability of high-quality genome sequencing coupled with the development of powerful computational toolkits to identify metabolic gene clusters. To provide a comprehensive overview of various bioinformatics methods for detecting gene clusters, we compare and contrast key aspects of algorithmic logic behind several computational tools, including 'NP.searcher', 'ClustScan', 'CLUSEAN', 'antiSMASH', 'SMURF', 'MIDDAS-M', 'ClusterFinder', 'CASSIS/SMIPS' and 'C-Hunter' among others. We also review additional tools such as 'NRPSpredictor' and 'SBSPKS' that can infer substrate specificity for previously identified gene clusters. The continual development of bioinformatics methods to predict gene clusters will help shed light on how organisms assemble multi-step metabolic pathways for adaptation to various ecological niches.

Indexed as

Multigene FamilyAlgorithmsAnimalsBacteriaBiosynthetic PathwaysComputational BiologyFungiHumansModels, GeneticPlantsSoftware

Identifiers

PMID28398567
PMCPMC6171489
OpenAlexW2604636508

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.