Dr, Department of Mathematics and Physics, Zetane Systems, QuebecQuebec, Canada
Semih Cantürk has extended his valuable service for many years and has been a recipient of many award and grants. His international experience includes various programs, contributions and participation in different countries for diverse fields of study. His research interests reflect in his wide range of publications in various national and international journals.
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»