Evidence map›Paper›PMID 36378489›Full record

ArticlemSystems2022

TaxiBGC: a Taxonomy-Guided Approach for Profiling Experimentally Characterized Microbial Biosynthetic Gene Clusters and Secondary Metabolite Production Potential in Metagenomes.

Vinod K Gupta, Utpal Bakshi, Daniel Chang, Aileen R Lee, John M Davis, Sriram Chandrasekaran, Yong-Su Jin, Michael F Freeman, Jaeyun Sung

Open access · goldAbstract read
In one paragraph

Article in mSystems, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.8field-weighted citation impact, top 30% 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

7 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
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  7. Multi-omics in Crohn's disease: New insights from inside.Computational and structural biotechnology journal · 2023
    Review
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

9 authors at 7 institutions in 2 countries.

Vinod K GuptaMicrobiome Program, Center for Individualized Medicine, Mayo Clinicgrid.66875.3a, Rochester, Minnesota, USA.
Utpal BakshiInstitute of Health Sciences, Presidency University, Kolkata, West Bengal, India.
Daniel ChangDepartment of Computer Science and Engineering, University of Minnesotagrid.17635.36, Minneapolis, Minnesota, USA.
Aileen R LeeDepartment of Biochemistry, Molecular Biology, and Biophysics, University of Minnesota-Twin Cities, St. Paul, Minnesota, USA.
John M DavisDivision of Rheumatology, Department of Medicine, Mayo Clinicgrid.66875.3a, Rochester, Minnesota, USA.
Sriram ChandrasekaranDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan, USA.
Yong-Su JinCarl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.
Michael F FreemanDepartment of Biochemistry, Molecular Biology, and Biophysics, University of Minnesota-Twin Cities, St. Paul, Minnesota, USA.
Jaeyun SungMicrobiome Program, Center for Individualized Medicine, Mayo Clinicgrid.66875.3a, Rochester, Minnesota, USA.
Biotechnology Institute · USWinnMed · USMayo Clinic · USPresidency University · INUniversity of Illinois Urbana-Champaign · USUniversity of Michigan–Ann Arbor · USUniversity of Minnesota · US

Funding

Discovery and characterization of biocatalysts for ribosomally encoded alpha-N-methylated peptide natural productsR35GM133475 · NIGMS · UNIVERSITY OF MINNESOTA · PI Michael F Freeman · 2019 to 2026
$2.7M
NIGMS NIH HHS R35 GM133475
6 · The paper itself

Abstract

Biosynthetic gene clusters (BGCs) in microbial genomes encode bioactive secondary metabolites (SMs), which can play important roles in microbe-microbe and host-microbe interactions. Given the biological significance of SMs and the current profound interest in the metabolic functions of microbiomes, the unbiased identification of BGCs from high-throughput metagenomic data could offer novel insights into the complex chemical ecology of microbial communities. Currently available tools for predicting BGCs from shotgun metagenomes have several limitations, including the need for computationally demanding read assembly, predicting a narrow breadth of BGC classes, and not providing the SM product. To overcome these limitations, we developed

Indexed as

Gastrointestinal MicrobiomeMicrobiotaComputational BiologyHumansMetagenomeMultigene Familybacteriocinbiomarkersbiosynthetic gene clustermetagenomicsmicrobiomenatural productsecondary metabolite

Identifiers

PMID36378489
PMCPMC9765181
OpenAlexW4309066510

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.