Evidence map›Paper›PMID 37994699›Full record

ArticleNucleic acids research2024

ABC-HuMi: the Atlas of Biosynthetic Gene Clusters in the Human Microbiome.

Pascal Hirsch, Azat Tagirdzhanov, Aleksandra Kushnareva, Ilia Olkhovskii, Simon Graf, Georges P Schmartz, Julian D Hegemann, Kenan A J Bozhüyük, Rolf Müller, Andreas Keller and 1 more

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

13 citing papers in PubMed, 17 citations in OpenAlex.

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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

11 authors at 2 institutions in 1 country.

Pascal HirschCenter for Bioinformatics, Saarland University, Saarbrücken 66123, Germany.ORCID 0000-0003-4152-9931
Azat TagirdzhanovCenter for Bioinformatics, Saarland University, Saarbrücken 66123, Germany.ORCID 0000-0002-6185-0821
Aleksandra KushnarevaCenter for Bioinformatics, Saarland University, Saarbrücken 66123, Germany.ORCID 0009-0008-5475-6707
Ilia OlkhovskiiCenter for Bioinformatics, Saarland University, Saarbrücken 66123, Germany.ORCID 0000-0002-3949-5640
Simon GrafDepartment of Computer Science, Saarland University, Saarbrücken 66123, Germany.ORCID 0009-0002-9913-4916
Georges P SchmartzCenter for Bioinformatics, Saarland University, Saarbrücken 66123, Germany.ORCID 0000-0002-9627-9223
Julian D HegemannHelmholtz Institute for Pharmaceutical Research Saarland (HIPS), Helmholtz Centre for Infection Research (HZI), Saarbrücken 66123, Germany.ORCID 0000-0002-3859-8744
Kenan A J BozhüyükHelmholtz Institute for Pharmaceutical Research Saarland (HIPS), Helmholtz Centre for Infection Research (HZI), Saarbrücken 66123, Germany.ORCID 0000-0002-8609-2967
Rolf MüllerHelmholtz Institute for Pharmaceutical Research Saarland (HIPS), Helmholtz Centre for Infection Research (HZI), Saarbrücken 66123, Germany.ORCID 0000-0002-1042-5665
Andreas KellerCenter for Bioinformatics, Saarland University, Saarbrücken 66123, Germany.ORCID 0000-0002-5361-0895
Alexey GurevichCenter for Bioinformatics, Saarland University, Saarbrücken 66123, Germany.ORCID 0000-0002-5855-3519
Helmholtz Centre for Infection Research · DESaarland University · DE

Funding

DFG 466168626Saarland University
6 · The paper itself

Abstract

The human microbiome has emerged as a rich source of diverse and bioactive natural products, harboring immense potential for therapeutic applications. To facilitate systematic exploration and analysis of its biosynthetic landscape, we present ABC-HuMi: the Atlas of Biosynthetic Gene Clusters (BGCs) in the Human Microbiome. ABC-HuMi integrates data from major human microbiome sequence databases and provides an expansive repository of BGCs compared to the limited coverage offered by existing resources. Employing state-of-the-art BGC prediction and analysis tools, our database ensures accurate annotation and enhanced prediction capabilities. ABC-HuMi empowers researchers with advanced browsing, filtering, and search functionality, enabling efficient exploration of the resource. At present, ABC-HuMi boasts a catalog of 19 218 representative BGCs derived from the human gut, oral, skin, respiratory and urogenital systems. By capturing the intricate biosynthetic potential across diverse human body sites, our database fosters profound insights into the molecular repertoire encoded within the human microbiome and offers a comprehensive resource for the discovery and characterization of novel bioactive compounds. The database is freely accessible at https://www.ccb.uni-saarland.de/abc_humi/.

Indexed as

Biosynthetic PathwaysDatabases, GeneticMicrobiotaMultigene FamilyComputational BiologyHumansInternetMetagenome

Identifiers

PMID37994699
PMCPMC10767846
OpenAlexW4388933225

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.