Evidence map›Paper›PMID 40130725›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025

ProteoSeeker: A Feature-Rich Metagenomic Analysis Tool for Accessible and Comprehensive Metagenomic Exploration.

Georgios Filis, Dimitra Bezantakou, Konstantinos Rigkos, Despina Noti, Pavlos Saridis, Dimitra Zarafeta, Georgios Skretas

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Georgios FilisInstitute for Bioinnovation, Biomedical Sciences Research Center "Alexander Fleming", Vari, 16672, Greece.ORCID https://orcid.org/0000-0001-6713-3092
Dimitra BezantakouInstitute for Bioinnovation, Biomedical Sciences Research Center "Alexander Fleming", Vari, 16672, Greece.ORCID https://orcid.org/0000-0002-0140-423X
Konstantinos RigkosInstitute for Bioinnovation, Biomedical Sciences Research Center "Alexander Fleming", Vari, 16672, Greece.ORCID https://orcid.org/0009-0009-6764-0401
Despina NotiInstitute of Chemical Biology, National Hellenic Research Foundation, Athens, 11635, Greece.
Pavlos SaridisInstitute of Chemical Biology, National Hellenic Research Foundation, Athens, 11635, Greece.ORCID https://orcid.org/0000-0001-9955-887X
Dimitra ZarafetaInstitute for Bioinnovation, Biomedical Sciences Research Center "Alexander Fleming", Vari, 16672, Greece.ORCID https://orcid.org/0000-0001-7692-6094
Georgios SkretasInstitute for Bioinnovation, Biomedical Sciences Research Center "Alexander Fleming", Vari, 16672, Greece.ORCID https://orcid.org/0000-0003-1320-9092

Funding

Horizon Europe Programme 101 079 363Horizon Europe Programme 101079363Horizon Europe Programme 101 087 471Horizon Europe Programme 101087471HORIZON EUROPE Widening participation and spreading excellence 101087471Operational Program "Attica 2014-2020" of the NSRF 2014-2020 ATTP4-0340328Operational Program Competitiveness, Entrepreneurship, and Innovation of the NSRF 2014-2020 T2EDK-02899
6 · The paper itself

Abstract

The vast majority of microbial diversity remains unculturable, limiting access to novel biotechnological resources. Advances in metagenomics have expanded the understanding of microbial communities, yet targeted protein discovery remains challenging. This study introduces ProteoSeeker, a command-line tool for streamlined metagenomic protein identification and annotation. ProteoSeeker operates in two primary modes: i) Seek mode, which screens the proteins according to user-defined protein families, and ii) Taxonomy mode, which uncovers the taxonomy of the host organisms. By automating key steps, ProteoSeeker reduces computational complexity, enabling time-efficient and comprehensive metagenomic analysis for both specialized and nonspecialized users. The efficiency of ProteoSeeker to achieve targeted enzyme discovery is demonstrated by identifying extremophilic enzymes with desired biochemical features, such as amylases for starch hydrolysis and carbonic anhydrases for CO₂ capture applications. By democratizing functional metagenomics, ProteoSeeker is anticipated to accelerate biotechnology, synthetic biology, and biomedical research and innovation.

Indexed as

MetagenomeMetagenomicsSoftwarebioinformatics pipelinecommand‐line toolmetagenomic analysisprotein discoveryshotgun sequencingtaxonomic analysiswhole‐genome sequencing

Identifiers

PMID40130725
PMCPMC12097006

What OpenQuestion holds

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LicenceCC BY
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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.