Author: Rishikesh Magar; Prakarsh Yadav; Amir Barati Farimani
Title: Potential Neutralizing Antibodies Discovered for Novel Corona Virus Using Machine Learning Document date: 2020_3_20
ID: fn7l93wh_4
Snippet: With the rapid expansion of available biological data, such as DNA/protein sequences and structures 4 , it is now possible to model and predict the complex biological phenomena through machine learning (ML) approaches. Given sufficient training data, ML can be used to learn a mapping between the viral epitope and effectiveness of its complementary antibody. 5 Once such mapping is learnt, it can be used to predict potentially neutralizing antibody.....
Document: With the rapid expansion of available biological data, such as DNA/protein sequences and structures 4 , it is now possible to model and predict the complex biological phenomena through machine learning (ML) approaches. Given sufficient training data, ML can be used to learn a mapping between the viral epitope and effectiveness of its complementary antibody. 5 Once such mapping is learnt, it can be used to predict potentially neutralizing antibody for a given viral sequence 6 .
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