Skip to main content
Special Feature

Old drugs, new uses

  • from Shaastra :: vol 02 issue 03 :: May - Jun 2023
Some 9,000-10,000 molecules or drugs proven to be safe for humans may be available for repurposing in theory, says Kishan Gurram, MD & CEO, Sravathi AI.

Can technology accelerate the repurposing of known drugs? AI and ML may show the way.

Bengaluru start-up Prescience Insilico set up shop on the cusp of the COVID-19 pandemic, focusing on using machine learning (ML) and artificial intelligence (AI) to accelerate the discovery and development of drugs and materials. Its proprietary software can virtually and rapidly screen thousands of drug compounds against targets such as proteins involved in a disease.

Using multiple parameters, the start-up whittles them down to a list as sharp as possible of drug candidates for further study in wet lab experiments. It analyses and unearths connections between the molecular structures of targets, drug compounds, and disease mechanisms with the help of publicly available scientific literature and other data.

Its deep learning technology can identify patterns that might not be immediately apparent to human researchers, thus helping to identify potential drugs missed by traditional methods, says Co-Founder Jayant Singh.

CONTINUE READING

Get unlimited digital access on any device.

Get the print magazine delivered at home.

Subscribe

PAST ISSUES - Free to Read

share-alt-square
Volume 01 Issue 04 Jul-Aug 2022
Read This Issue
share-alt-square
Volume 01 Edition 03 Sep-Oct 2021
Read This Issue
Search by Keywords, Topic or Author

© 2024 IIT MADRAS - All rights reserved

Powered by RAGE