Identification and analysis of potential targets in Streptococcus sanguinis using computer aided protein data...

Area of Science:

• Microbiology
• Computational Biology
• Drug Discovery

Background:

• Streptococcus sanguinis is a Gram-positive bacterium found in human oral cavities.
• It is associated with dental caries and bacterial endocarditis, a condition with a 25% mortality rate.
• Existing antibiotics show variable effectiveness, necessitating novel therapeutic strategies.

Purpose of the Study:

• To identify novel and effective therapeutic targets in Streptococcus sanguinis.
• To explore alternative treatment approaches for eradicating this bacterium.
• To computationally analyze essential proteins and metabolic pathways for drug target identification.

Main Methods:

• Utilized databases like KEGG to identify human nonhomologous proteins and associated metabolic pathways.
• Employed bioinformatics tools (Phyre2, CastP, DoGSiteScorer, PFP, STRING) to analyze protein function, interactions, and druggable sites.
• Performed metabolic pathway analysis to isolate unique proteins in S. sanguinis.

Main Results:

• Identified 81 nonhomologous proteins out of 218 essential proteins.
• Isolated 15 proteins unique to S. sanguinis metabolic pathways.
• Revealed four unique, membrane-bound proteins with druggable pockets and characterized their interactions.

Conclusions:

• Successfully identified specific protein types as efficient drug targets.
• This research provides a foundation for developing more effective and targeted therapies against S. sanguinis.
• The findings facilitate the discovery of novel therapeutic agents for S. sanguinis infections.