influenza
Persistent viruses like influenza, HIV, Coronavirus exemplify the challenge of viral escape, significantly hindering the development of long-lasting vaccines and effective treatments. This study leverages a Long Short-Term Memory (LSTM) based deep learning architecture to analyze an extensive dataset of over 3.1 million unique viral spike protein sequences, with SARS-CoV-2 serving as the primary example. Our model, Escape Elite Network(EEN) outperforms existing methods in detecting escape mutations across diverse datasets.
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This is a two-part open-access page -'Data:B-Bio Models-1 and 'Data:B-Bio Models-2'. This webpage contains datasets and Novel ß-Bio models, with clinical investigation in simulation, proposed by me which are Self-Claimed advancements, in support of my Research, Discovery and Claim. All the content can be freely downloaded after sign-up.
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