ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025
ProteoSeeker: A Feature-Rich Metagenomic Analysis Tool for Accessible and Comprehensive Metagenomic Exploration.
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.
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.
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.
Who cites it
1 citing paper in PubMed.
- ProteoSeeker: A Feature-Rich Metagenomic Analysis Tool for Accessible and Comprehensive Metagenomic Exploration.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
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.
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Registered trials
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.