Identification of novel non-homologous drug targets against Acinetobacter baumannii using subtractive genomics and comparative metabolic pathway analysis

2020 ◽  
pp. 104608
Author(s):  
Harpreet Kaur ◽  
Manmohit Kalia ◽  
Neelam Taneja
Keyword(s):  
Acinetobacter Baumannii ◽  
Pathway Analysis ◽  
Metabolic Pathway ◽  
Drug Targets ◽  
Metabolic Pathway Analysis ◽  
Subtractive Genomics

scholarly journals Metabolic pathway analysis and molecular docking analysis for identification of putative drug targets in Toxoplasma gondii: novel approach

2012 ◽  
Vol 8 (3) ◽  
pp. 134-141 ◽  
Author(s):  
Budhayash Gautam ◽  
Gurmit Singh ◽  
Gulshan Wadhwa ◽  
Rohit Farmer ◽  
Satendra Singh ◽  
...  
Keyword(s):  
Molecular Docking ◽  
Toxoplasma Gondii ◽  
Pathway Analysis ◽  
Metabolic Pathway ◽  
Drug Targets ◽  
Metabolic Pathway Analysis ◽  
Docking Analysis ◽  
Novel Approach ◽  
Molecular Docking Analysis

scholarly journals Deciphering Potential Drug Targets in Clostridium Perfringens through Metabolic Pathway Analysis

2019 ◽  
pp. 432-437
Author(s):  
M Arockiyajainmary ◽  
Sivashankari Selvarajan
Keyword(s):  
Clostridium Perfringens ◽  
Pathway Analysis ◽  
Metabolic Pathway ◽  
Metabolic Pathways ◽  
Drug Targets ◽  
Cellular Localization ◽  
Potential Drug ◽  
Metabolic Pathway Analysis ◽  
Homologous Proteins ◽  
Potential Drug Targets

Background: In our day-to-day life, we are facing many dreadful diseases caused by many infectious pathogens. These pathogens invade the living organisms (host) and lethally damaging them. These dreadful pathogens were also be used as bioweapons. Among them, Clostridium perfringens is taken for the study. Clostridium perfringens is an anaerobic, rod shaped, gram positive bacteria capable of forming spores. It is prevalent in the environment and in the intestine of humans and other animals. It is the causative agent for a wide range of diseases including food borne diseases, gas gangrene and flesh eating disease called necrotizing fasciitis. C. perfringens is commonly found on raw meat and poultry that espouse to grow in conditions with very little or no oxygen, and under ideal conditions can multiply very rapidly. These conditions are occasionally lethal due to the substantial number of toxins such as alpha toxin, beta toxin, epsilon toxin and iota toxin produced by C. perfringens. It is significantly important to analyze the Drug targets of the pathogen in order to destroy them. Objective: The present work aims in identifying potential drug targets in C. perfringens through metabolic pathway analysis. Method: Primarily, the metabolic pathways of the host and pathogen are compared to identify unique pathways in the bacteria. Among the enzymes that catalyze unique metabolic pathways, the essential ones for the survival of the pathogen are identified. The druggability of the essential enzymes are predicted through identification of its sub cellular localization and other druggable parameters. Results: The comparative metabolic pathway analysis result shows that, among the 98 metabolic pathways of C.perfringens, 25 pathways were unique that they did not have a counterpart with Human. There were 113 enzymes involved in these unique pathways. The NCBI’s protein Blast search against human was done to identify the non-homologous proteins. There were 93 non-homologous proteins. Among the 93 non-homologous proteins, 47 proteins were found to be essential. Based on their sub-cellular localization, 32 proteins were identified as potential drug targets and 15 are probable vaccine candidates. Conclusion: The present work which started with 25 different pathways with more than a hundred different enzymes, resulted in the identification of 32 putative drug targets against C.perfringens infection. All these 32 identified targets did not have any human homolog and are highly essential for the survival of the organism. They were concluded as potential drug targets. Designing of compounds to inhibit these enzymes would be successful for treating the life threatening infections caused by this pathogen.

scholarly journals PySCeSToolbox: a collection of metabolic pathway analysis tools

2017 ◽  
Vol 34 (1) ◽  
pp. 124-125 ◽  
Author(s):  
Carl D Christensen ◽  
Jan-Hendrik S Hofmeyr ◽  
Johann M Rohwer
Keyword(s):  
Pathway Analysis ◽  
Metabolic Pathway ◽  
Metabolic Pathway Analysis ◽  
Analysis Tools
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