Abstract
The Coronavirus disease 2019 (COVID-19) caused by the SARS-CoV-2 virus needs a fast recognition of effective drugs to save lives. In the COVID-19 situation, finding targets for drug repurposing can be an effective way to present new fast treatments. We have designed a two-step solution to address this approach. In the first step, we identify essential proteins from virus targets or their associated modules in human cells as possible drug target candidates. For this purpose, we apply two different algorithms to detect some candidate sets of proteins with a minimum size that drive a significant disruption in the COVID-19 related biological networks. We evaluate the resulted candidate proteins sets with three groups of drugs namely Covid-Drug, Clinical-Drug, and All-Drug. The obtained candidate proteins sets approve 16 drugs out of 18 in the Covid-Drug, 273 drugs out of 328 in the Clinical-Drug, and a large number of drugs in the All-Drug. In the second step, we study COVID-19 associated proteins sets and recognize proteins that are essential to disease pathology. This analysis is performed using DAVID to show and compare essential proteins that are contributed between the COVID-19 comorbidities. Our results for shared proteins show significant enrichment for cardiovascular-related, hypertension, diabetes type 2, kidney-related and lung-related diseases.
Highlights
The global impact of the Coronavirus disease 2019 (COVID-19) pandemic has brought an urgent need for finding treatments to reduce morbidity and mortality
E1 : Set of essential proteins associated with COVID-19 that are placed in Cut[1]
COVID-19 pandemic, which is caused by acute respiratory syndrome (SARS-CoV-2), is currently causing irreparable harm to human life, so the world needs to quickly identify effective drugs to restrict the spread of the disease
Summary
The global impact of the Coronavirus disease 2019 (COVID-19) pandemic has brought an urgent need for finding treatments to reduce morbidity and mortality. Saha et al.[4] described the probable molecular mechanism of Remdesivir as one of the best drug candidates for COVID-19 They showed the effect of Remdesivir with abroad spectrum of anti-viral activity against many viruses, to inhibit the RNA synthesis of SARS-CoV-2. Saha et al.[6] took a brief look at the development stages of different vital drug candidates, that were being tested as potential vaccines or therapeutics against COVID-19 Analysis of this large amount of data in the biological process helped us for a better understanding of cellular mechanisms. Some computation methods designed informative networks from biological processes data to identify essential proteins with important biological properties For this purpose two algorithms[15, 16] are applied. Our candidate sets approve a large number of drugs in All-Drug
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