Open AccessProteoSeeker : A Feature‐Rich Metagenomic Analysis Tool for Accessible and Comprehensive Metagenomic Exploration
Author(s) -
Filis Georgios,
Bezantakou Dimitra,
Rigkos Konstantinos,
Noti Despina,
Saridis Pavlos,
Zarafeta Dimitra,
Skretas Georgios
Publication year - 2025
Publication title -
advanced science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.388
H-Index - 100
ISSN - 2198-3844
DOI - 10.1002/advs.202414877
Subject(s) - metagenomics , computational biology , identification (biology) , computer science , limiting , biology , data science , engineering , gene , ecology , genetics , mechanical engineering
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.