Aim: The present study intends to explore the cluster of uncharacterized proteins of Neisseria gonorrhea using a series of computational tools to identify novel drug/vaccine candidates. Gonorrhoea is a sexually transmitting infection caused by a gram-negative pathogenic bacteria N. gonorrhoea. Materials and Methods: A total of 50 uncharacterized protein sequences of N. gonorrhoeae were retrieved from NCBI and analyzed using computational tools for studying their localization, membrane helices, physio-chemical properties, virulence factors, signal peptides, antigenicity, and epitopes. These proteins were then subjected to tBLASTn to compare against human proteome for confirming that they are not human homologs in order to circumvent autoimmune reactions. Results: Out of 50, 41 were found to be highly virulent with a score of more than 1 and among the 41, 13 proteins possess antigenic properties. Out of 13 antigens, 2 candidates comprise epitopes and they are not human homologs. Conclusion: Hence, these proteins could be novel drug/vaccine targets, however, further indepth immuno-informatics and structural biology approaches are recommended with in-vitro and in-vivo experiments for validation.