Semih Cantürk

Dr, Department of Mathematics and Physics, Zetane Systems, QuebecQuebec, Canada

Publications
  • Research Article   
    Machine-Learning Driven Drug Repurposing for COVID-19
    Author(s): Semih Cantürk*

    The integration of machine learning methods into bioinformatics provides particular benefits in identifying how therapeutics effective in one context might have utility in an unknown clinical context or against a novel pathology. We aim to discover the underlying associations between viral proteins and antiviral therapeutics that are effective against them by employing neural network models. Using the National Center for Biotechnology Information virus protein database and the Drug Virus database, which provides a comprehensive report of Broad-Spectrum Antiviral Agents (BSAAs) and viruses they inhibit, we trained ANN models with virus protein sequences as inputs and antiviral agents deemed safe-in-humans as outputs. Model training excluded SARS-CoV-2 proteins and included only Phases II, III, IV and approved level drugs. Using sequences for SARS-CoV-2 (the corona.. View more»

    DOI: 10.35248/2155-9597.21.s12.004

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