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Life Science Newswire Service™ (LS) > Blog > Life Sciences > Drug development > How stereo-correct data can de-risk AI-driven drug discovery
Drug development

How stereo-correct data can de-risk AI-driven drug discovery

By Newsroom
Last updated: October 19, 2025
1 Min Read
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Image: Wikimedia Commons (Public Domain)

Image: Wikimedia Commons (Public Domain)

In drug discovery, the difference between a breakthrough and a breakdown can be as small as the twist of a bond. Stereochemistry, the three-dimensional arrangement of atoms, governs how otherwise identical molecules behave in the body: whether they bind the intended target, trigger off-targets, or get cleared in minutes rather than hours.

Adam Sanford

Adam Sanford, Ph.D.

“Shape really does matter,” said Adam Sanford, Ph.D., senior product lead at scientific…



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TAGGED:AI drug designchiralitycomputational chemistrydata qualityDrug discoveryenantiomersFDA approvalMachine Learningmolecular modelingQSARstereochemistrythalidomide
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