ArticleGenomics & informatics2023
Functional annotation of uncharacterized proteins from Fusobacterium nucleatum: identification of virulence factors.
Article in Genomics & informatics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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5 citing papers in PubMed, 4 citations in OpenAlex.
- Genome-based predictions of metabolic preferences and substrate phenotypes in psychrotrophic bacteria from permafrost environments.Microbiology spectrum · 2026Article
- Genome-Informed Identification of Species-Specific Diagnostic Markers for Listeria Using Pangenome Analysis.Pathogens (Basel, Switzerland) · 2026Article
- Diagnostic accuracy of tongue coating in identifying acute appendicitis: a prospective cohort study.Emergency medicine journal : EMJ · 2025Article
- Influence of Prosulfocarb and Polymer Supplementation on Soil Bacterial Diversity inInternational journal of molecular sciences · 2025Article
- The Art of Finding the Right Drug Target: Emerging Methods and Strategies.Pharmacological reviews · 2024Review
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Fusobacterium nucleatum is a gram-negative bacteria associated with diverse infections like appendicitis and colorectal cancer. It mainly attacks the epithelial cells in the oral cavity and throat of the infected individual. It has a single circular genome of 2.7 Mb. Many proteins in F. nucleatum genome are listed as "Uncharacterized." Annotation of these proteins is crucial for obtaining new facts about the pathogen and deciphering the gene regulation, functions, and pathways along with discovery of novel target proteins. In the light of new genomic information, an armoury of bioinformatic tools were used for predicting the physicochemical parameters, domain and motif search, pattern search, and localization of the uncharacterized proteins. The programs such as receiver operating characteristics determine the efficacy of the databases that have been employed for prediction of different parameters at 83.6%. Functions were successfully assigned to 46 uncharacterized proteins which included enzymes, transporter proteins, membrane proteins, binding proteins, etc. Apart from the function prediction, the proteins were also subjected to string analysis to reveal the interacting partners. The annotated proteins were also put through homology-based structure prediction and modeling using Swiss PDB and Phyre2 servers. Two probable virulent factors were also identified which could be investigated further for potential drug-related studies. The assigning of functions to uncharacterized proteins has shown that some of these proteins are important for cell survival inside the host and can act as effective drug targets.
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