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In silico approach for mining of potential drug targets from hypothetical proteins of bacterial proteome

International Journal of Molecular Biology: Open Access
Umairah Natasya Mohd Omeershffudin, Suresh Kumar


An increase in expansion of antibiotic-resistant bacterial pathogens alarms the world's population and creating a wave of the antibiotic apocalypse. The inclination of the death rate due to these antibiotic-resistant superbugs signifies urgency towards a new drug discovery to combat against these bacterial pathogens. The last class of antibiotics developed leaves a huge gap in the antibiotic timeline as the antibiotic development progress failed to kill the bacteria. Current antibiotic targets the central dogma of the bacteria hence finding a new potential drug target could eliminate the superbugs. It is, therefore, crucial to understand the underlying mechanism to identify the root cause of the resistant characteristic by understanding the biological cellular processes. Hypothetical proteins are an uncharacterized protein that is not known for its function which could provide a deeper understanding of the metabolic pathway of the bacterial proteome. This paper will generally provide a guideline for non-bioinformatician to mine potential drug targets from hypothetical proteins of bacterial proteome using a fast and less-cost bioinformatics approach.


hypothetical proteins, essential genes, virulent proteins, drug target, subtractive genomic analysis