Mutation prediction and phylogenetic analysis of SARS-CoV2 protein sequences using LSTM based encoder-decoder model

Mutation prediction and phylogenetic analysis of SARS-CoV2 protein sequences using LSTM based encoder-decoder model

AbstractThe ongoing evolution and mutation of SARS-CoV2 pose a significant challenge to the development of effective medication, as genetic changes can render previously developed drugs ineffective. To address this issue, researchers are exploring various strategies to predict and assess the emergen...

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Bibliographic Details
Main Authors: Sweeti Sah, B. Surendiran, R. Dhanalakshmi, Sachi Nandan Mohanty
Format: Article
Language:English
Published: Taylor & Francis Group 2023-03-01
Series:Arab Journal of Basic and Applied Sciences
Subjects:
LSTM
prediction
Seq2Seq
genomic sequence
protein
SARS-CoV2
Online Access:https://www.tandfonline.com/doi/10.1080/25765299.2023.2188677

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https://www.tandfonline.com/doi/10.1080/25765299.2023.2188677

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