COV-DrugX Pipeline for Covid-19 Drug Repurposing

Abstract

The outbreak of the novel coronavirus disease COVID-19, caused by the SARS-CoV-2 virus has killed over 5 million people to date. Despite the introduction of population-wide vaccination drives, countries such as Austria and Germany are witnessing the re-emergence of infections and deaths. Scientists, administrators and clinicians are scrambling to find solutions that include vaccines, and active therapeutic agents. So, there is an urgent requirement for new and effective medications that can treat the disease caused by SARS-CoV-2. Artificial intelligence (AI) enabled drug repurposing, has the potential to shorten the time and reduce the cost compared to de novo drug discovery.

Drug_gene_expression Module: Potential drugs against COVID-19 revealed by drug gene expression

“…Drugs that interact with COVID-19-related genes are assigned a value of 1. [Rawal et al, 2021] The modules argparse, os, pandas, and re are imported. Functions for interfacing with the operating system are provided by the import OS.…”

“…Previously, Our lab is at the forefront of the development of AI-based integrative systems for unmet healthcare needs. Recently, we developed a comprehensive deep-CNN-based diagnosis of lung adenocarcinoma (LUAD) using both PET/CT and histopathology images [Batra & Rawal et al 2022, Journal of Clinical Oncology] we have developed an AI-based platform for the identification of potential vaccine targets [Rawal et al, 2021]. Further, our research group has already developed computational pipelines for the analysis of human genomes in the context of mutations, mobile genetic elements, and their clinical effects […”