It was observed that AI-based image processing techniques had a colossal application in the detection of COVID-19 pneumonia in patients, based on chest x-ray, chest computed tomography (CT) and chest high resolution computed tomography (HRTC) images. Further, AI-based predictive models had shown potential in the identification of effective drugs molecules, repurposing of which might help in the treatment of COVID-19 disease. Based on literature reviews and an auto-encoder based deep learning methodology, Mozenavir, Oseltamivir and Di-hydro-artemisinin has been identified as probable drug molecules that might be effective in the treatment of SARS-CoV-2 virus.
The available structure of SARS-CoV-2 virus has been analysed and through knowledge-based docking, and identified probable binding sites for vitamin D3 and Ivermectin. It thus opens up new avenues for repurposing of these drug molecules as potential drugs against SARS-CoV-2 viral infection.
Indian Statistical Institute (ISI)
Professor
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