In Silico Characterization of Essential Hypothetical Proteins from Francisella tularensis Schu S4 Strain.

09 March 2022, Version 2
This content is a preprint and has not undergone peer review at the time of posting.

Abstract

Francisella tularensis Schu S4 is the causal agent of a sporadic zoonotic disease known as Tularemia, which has shown epidemic outbreaks recently in certain parts of the world. This pathogen is a potential agent of biowarfare or bioterrorism and is classified as a category A pathogen by the National Institute of Allergy and Infectious Diseases. In this virulent strain, 453 genes have been identified as essential genes, indispensable for growth and survival of the pathogen. The functions of 44 proteins encoded by those essential genes were found to be hypothetical and thus defined as essential hypothetical proteins (EHPs). The current study used a wide range of in silico tools and servers to annotate the physicochemical, structural, and functional properties of these EHPs. Of all the EHPs, 24 were functionally annotated with a high degree of confidence and validated by Receiver Operating Characteristic curve analysis. Non-homology assessment revealed 20 pathogen-specific EHPs, which were further analyzed for protein-protein interactions and predicted for secondary and tertiary structure. All the 3D structures were checked on multiple quality assessment servers, and the best models were visualized. The outcome of the study could aid in enhancing current understanding of bacterial pathogenesis with novel drug and vaccine investigations.

Keywords

Francisella tularensis
essential hypothetical proteins
in silico annotation
ROC analysis
tularemia

Supplementary materials

Title
Description
Actions
Title
Supplementary files of the original manuscript.
Description
Functional annotation of all the EHPs and secondary structures -both are provided in the supporting information file.
Actions

Comments

Comments are not moderated before they are posted, but they can be removed by the site moderators if they are found to be in contravention of our Commenting Policy [opens in a new tab] - please read this policy before you post. Comments should be used for scholarly discussion of the content in question. You can find more information about how to use the commenting feature here [opens in a new tab] .
This site is protected by reCAPTCHA and the Google Privacy Policy [opens in a new tab] and Terms of Service [opens in a new tab] apply.