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The significance and applicability of computational approaches in combating covid-19
Recent Advances in Computer Aided Drug Designing ; : 177-205, 2021.
Article in English | Scopus | ID: covidwho-1918953
ABSTRACT
Novel corona virus disease (COVID-19), the causative agent of severe acute respiratory syndrome (SARS-CoV-2) has become a burning issue of 2020. The pandemic has brought the complete world to think about the solutions that can lead us to restart the journey of life in a normal way. Every country is trying all possible steps to combat the disease ranging from shutting the complete economy of the country to the repurposing of drugs and vaccine development. Manual dealing with the virus is a very tedious and highly sensitive issue that requires a high level of safety and every researcher is not sufficient enough to attain it. Regarding this situation, computational approaches have opened a new door for researchers and scientists to think against this deadly issue. The speedy data generation and its analysis through different basic to advance approaches, tools, software, and databases have made bioinformatics capable of giving new insights to the researchers to deal with the current scenario more efficiently. From understanding the underlying mechanism of the virus to the speedy discovery of therapeutic intervention, computational approaches play a significant role. Various Insilco pipelines from genomics and proteomics study, drug discovery, vaccine development, drug repurposing to system biology, network medicine, next-generation sequencing, and machine learning not only help in understanding the disease pathway and mechanism but also speed up the therapeutic process efficiently. The current review deals with the significance and usefulness of computational approaches in combating the corona pandemic. © 2021 by Nova Science Publishers, Inc. All rights reserved.
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Collection: Databases of international organizations Database: Scopus Topics: Vaccines Language: English Journal: Recent Advances in Computer Aided Drug Designing Year: 2021 Document Type: Article

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Collection: Databases of international organizations Database: Scopus Topics: Vaccines Language: English Journal: Recent Advances in Computer Aided Drug Designing Year: 2021 Document Type: Article