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Mutation Prediction for Coronaviruses Using Genome Sequence and Recurrent Neural Networks

Computers, Materials & Continua 2022年第10期73卷 1601-1619页

作者： Pranav Pushkar Christo Ananth preeti nagrath Jehad F.Al-Amri Vividha Anand Nayyar Bharati Vidyapeeth’s College of Engineering New Delhi110063India Department of Natural and Exact Sciences Samarkand State UniversitySamarkandUzbekistan Graduate School Duy Tan UniversityDa Nang550000Viet Nam Faculty of Information Technology Duy Tan UniversityDa Nang550000Viet Nam Department of Information Technology College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia

The study of viruses and their genetics has been an opportunity as well as a challenge for the scientific *** recent ongoing SARSCov2(Severe Acute Respiratory Syndrome)pandemic proved the unpreparedness for these *** only the countermeasures for the effect caused by virus need to be tackled but the mutation taking place in the very genome of the virus is needed to be kept in check *** major way to find out more information about such pathogens is by extracting the genetic data of such *** genetic data of viruses have been cultured and stored as well as isolated in form of their genome sequences,there is still limited methods on what new viruses can be generated in future due to *** research proposes a deep learning model to predict the genome sequences of the SARS-Cov2 virus using only the previous viruses of the coronaviridae family with the help of RNN-LSTM(Recurrent Neural Network-Long ShortTerm Memory)and RNN-GRU(Gated Recurrent Unit)so that in the future,several counter measures can be taken by predicting possible changes in the genome with the help of existing mutations in the *** the process of testing the model,the F1-recall came out to be more than *** mutation detection’s accuracy of both the models come out about 98.5%which shows the capability of the recurrent neural network to predict future changes in the genome of virus.

关键词： COVID-19 genome sequence coronaviridae RNN-LSTM RNN-GRU

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作者： I.J.·纳格拉思(I.J. nagrath) M.·戈帕尔(M. Gopal)

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