ArticleNucleic acids research2022
PncsHub: a platform for annotating and analyzing non-classically secreted proteins in Gram-positive bacteria.
Article in Nucleic acids research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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Who cites it
6 citing papers in PubMed.
- Sec and Tat Mediated Secretion Safeguards Mycobacterium tuberculosis Membrane Homeostasis.Molecular & cellular proteomics : MCP · 2026Article
- A Genomic Investigation into the Probiotic Attributes Among Members of the Lactobacillaceae family.Current microbiology · 2025Article
- Heterologous expression and purification of the phage lysin-like bacteriocin LysL from Lactococcus lactis LAC460.FEMS microbiology letters · 2024Article
- Article
- PAT: a comprehensive database of prokaryotic antimicrobial toxins.Nucleic acids research · 2023Article
- Detection of immunoreactive proteins ofFrontiers in cellular and infection microbiology · 2023Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
From industry to food to health, bacteria play an important role in all facets of life. Some of the most important bacteria have been purposely engineered to produce commercial quantities of antibiotics and therapeutics, and non-classical secretion systems are at the forefront of these technologies. Unlike the classical Sec or Tat pathways, non-classically secreted proteins share few common characteristics and use much more diverse secretion pathways for protein transport. Systematically categorizing and investigating the non-classically secreted proteins will enable a deeper understanding of their associated secretion mechanisms and provide a landscape of the Gram-positive secretion pathway distribution. We therefore developed PncsHub (https://pncshub.erc.monash.edu/), the first universal platform for comprehensively annotating and analyzing Gram-positive bacterial non-classically secreted proteins. PncsHub catalogs 4,914 non-classically secreted proteins, which are delicately categorized into 8 subtypes (including the 'unknown' subtype) and annotated with data compiled from up to 26 resources and visualisation tools. It incorporates state-of-the-art predictors to identify new and homologous non-classically secreted proteins and includes three analytical modules to visualise the relationships between known and putative non-classically secreted proteins. As such, PncsHub aims to provide integrated services for investigating, predicting and identifying non-classically secreted proteins to promote hypothesis-driven laboratory-based experiments.
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Registered trials
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