COVID-19 Drug Percent Interaction: A python script for understanding drug network interactions
Nazrin Zabein Fatima, Kamal Rawal, Trapti Sharma, Nevidita Arambam · 2022
In December 2019, a novel coronavirus initially surfaced in Wuhan, China, and it quickly spread around the world. The latest SARS-CoV-2 epidemic has generated major concerns about the hazards of emerging infectious viruses. COVID-19 outbreaks provide challenges for therapeutic medication therapies in the clinical context, as there is limited time for the discovery of novel therapeutics. One of the most practical methods for quickly creating medications for newly emerging and reemerging viruses is drug repurposing at the moment. COVID- 19 people who have underlying medical issues are at risk for drug-drug interactions because they take drugs repurposing. In order to overcome this difficulty, we take different drugs and their gene targets to understand the drug network interactions and its human protein interactions, SARS-CoV-2 infection processes, and drug targets in order to forecast novel drug-target interactions for COVID-19.Here, we present a python script, cli.py, combine_multiple_drugs_results.py, convert_to_edgelist.py, extract_interactions.py, find_interactor_or_node_in_network.py, parse_summaries.py, pipeline_parallel.py, pipeline.py and remove_duplicates.py, that efficiently tests the drug interactions of potential drug compounds against COVID-19.