Computational Prediction of Novel Broad-Spectrum Drug Targets Against Vibrio Cholerae by Integrated Genomics and Proteomics Approach

ABSTRACT

@#Introduction: Vibrio cholerae is a motile, Gram-negative curved rod belonging to the Vibrionaceae family. It is the causative agent of cholera. The acute diarrheal disease cholera causes about 120 000 casualties annually and has a significant effect on the health of young kids between the ages of 1 and 5. The main cause of death is due to resistance to antibiotics. As a result, new drug targets need to be identified immediately. The study’s goal is to identify Vibrio Cholerae’s putative drug target through an integrated approach to genomics and proteomics. Methods: Through this study, 2241 core protein sequence of Vibrio Cholerae were retrieved from the Panx tool. The sequence decreased to 173 druggable sequences by undergoing different phases of the process such as determining the non-homologous sequence against human proteome by using the BlastP tool, identifying the essential genes by using the DEG database, and determining the sequence of virulent proteins by using Virulent prediction tool. Results: 11 potential drug targets were identified through molecular weight, and sub-cellular localization analysis. Conclusion: Through pan-genome analysis, we can able to find potential drug targets. This study also helps to identify the potential drug targets against Vibrio cholerae and to increase the efforts of drug and vaccine developments.