Prediction of potential drug interactions between repurposed COVID-19 and antitubercular drugs: an integrational approach of drug information software and computational techniques data

@article{Thomas2021PredictionOP,
  title={Prediction of potential drug interactions between repurposed COVID-19 and antitubercular drugs: an integrational approach of drug information software and computational techniques data},
  author={Levin Thomas and Sumit Birangal and Rajdeep Ray and Sonal Sekhar Miraj and Murali Munisamy and Muralidhar Varma and Chidananda Sanju S.V. and Mithu Banerjee and Gautham G. Shenoy and Mahadev Rao},
  journal={Therapeutic Advances in Drug Safety},
  year={2021},
  volume={12}
}
Introduction: Tuberculosis is a major respiratory disease globally with a higher prevalence in Asian and African countries than rest of the world. With a larger population of tuberculosis patients anticipated to be co-infected with COVID-19 infection, an ongoing pandemic, identifying, preventing and managing drug–drug interactions is inevitable for maximizing patient benefits for the current repurposed COVID-19 and antitubercular drugs. Methods: We assessed the potential drug–drug interactions… 

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