Prediction of potential drug interactions between repurposed COVID-19 and antitubercular drugs: an integrational approach of drug information software and computational techniques data.
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ABSTRACT:
SUBMITTER: Thomas L
PROVIDER: S-EPMC8404633 | biostudies-literature | 2021
REPOSITORIES: biostudies-literature
Publications
Prediction of potential drug interactions between repurposed COVID-19 and antitubercular drugs: an integrational approach of drug information software and computational techniques data.
Thomas Levin L Birangal Sumit Raosaheb SR Ray Rajdeep R Sekhar Miraj Sonal S Munisamy Murali M Varma Muralidhar M S V Chidananda Sanju CS Banerjee Mithu M Shenoy Gautham G GG Rao Mahadev M
Therapeutic advances in drug safety 20210826
<h4>Introduction</h4>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.<h4>Methods</h4>We assessed the potential drug-drug i ...[more]
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