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19th International Bhurban Conference on Applied Sciences and Technology, IBCAST 2022 ; : 364-369, 2022.
Article in English | Scopus | ID: covidwho-2213200


Drug repurposing is an unconventional approach that is used to investigate new therapeutic aids of existing and shelved drugs. Recent advancement in technologies and the availability of the data of genomics, proteomics, transcriptomics, etc., and with the accessibility of large and reliable database resources, there are abundantly of opportunities to discover drugs by drug repurposing in an efficient manner. The recent pandemic of SARS-COV-2, that caused the death of 6,245,750 human beings to date, has tremendously increase the exceptional usage of bioinformatics tools in interpreting the molecular characterizations of viral infections. In this paper, we have employed various bioinformatics tools such as AutoDock-Vina, PyMol etc. We have found a leading drug candidate Cepharanthine (CEP) that has shown better results and effectiveness than recently used antiviral drug candidates such as Favipiravir, IDX184, Remedesivir, Ribavirin and etc. This paper has analyzed CEP's potential therapeutic importance as a drug of choice in managing COVID-19 cases. It is anticipated that proposed study would be beneficial for researchers and medical practitioners in handling SARS-CoV-2 and its variant related diseases. © 2022 IEEE.

2022 International Conference on Recent Advances in Electrical Engineering and Computer Sciences, RAEE and CS 2022 ; 2022.
Article in English | Scopus | ID: covidwho-2192051


The pandemic caused by the coronavirus SARS-COVID-2 has had devastating impact on the world. It has caused a significant number of deaths across the world. Fast spread and lack of vaccine prompted academia to adopt new, fast and reliable methodologies to design new drugs. A combined approach of direct drug design and indirect drug design has been used for molecular docking. In the study, we found a compound, Vilazodone, with a binding energy of -8.40 kcal/mol. The druglikeness properties of this compound are investigated through SWISS ADMET analysis. In this in-silico study, we confirmed this compound is a potential drug candidate against SARS-CoV-2.However, in-vitro and in-vivo studies are required to prove its efficacy. © 2022 IEEE.

2022 International Conference on Recent Advances in Electrical Engineering and Computer Sciences, RAEE and CS 2022 ; 2022.
Article in English | Scopus | ID: covidwho-2192050


Drug repurposing is the technique of finding new uses for currently used or under-researched drugs. Because this strategy requires less time and money, it is thought to be a particularly effective drug development strategy. Due to current technological breakthroughs, the accessibility of vast and reliable database resources, as well as data accessibility from genomes, proteomics, transcriptomics, etc., there are numerous opportunities to identify drugs by drug repurposing. The recent SARS-COV-2 epidemic, which has so far claimed 6,245,750 lives, has significantly increased the use of bioinformatics techniques in deciphering the characteristics of viral diseases. Using FDA-approved antiviral drugs that target the COVID-19 spike protein, we have used a bioinformatics approach to drug repurposing to find possible effective inhibitors against the Coronavirus (COVID-19). We used a variety of bioinformatics tools in this study, including AutoDock-Vina, PyMol, and Discovery Studio, to identify a promising drug called Cepharanthine (CEP), which demonstrates successful outcomes and efficacy compared to recently used antiviral drug candidates like arbidol, talampicillin, bromhexine, chloroquine, lycorine, bruceine A, reserpine, indinavir, galidesiver, doxycycline, methisazone, flupentixol, trifluoperazine and fluoxetine. The potential therapeutic value of cepharanthine as a drug for treating COVID-19 has been investigated in this study. It is expected that the proposed study will help medical professionals and researchers cure disorders linked to Severe acute respiratory and variations of it. © 2022 IEEE.