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23 days ago · New York, United States

AI scans 4.6 million compounds in hours to predict hydrogen positions in drug-like molecules

AI scans 4.6 million compounds in hours to predict hydrogen positions in drug-like molecules

What's happening

SignalsMonitor is following this as a technology story. Phys.org Breaking News is the outlet attached so far. The reports are tied to New York, United States. The first report grouped here was at 23 Sept 2026, 09:00 UTC. The headline in use is “AI scans 4.6 million compounds in hours to predict hydrogen positions in drug-like molecules”. This note is SignalsMonitor's own briefing, not the publisher's article.

What we know

New York University researchers have trained an AI model to learn chemical patterns associated with stability in drug-like molecules and accurately predict where their hydrogen atoms should be positioned.

Phys.org Breaking NewsRead at Phys.org Breaking News

Story timeline

Reports grouped into this story, earliest first. Exact repeats from the same outlet are collapsed.

Reported by 1 outlet

  • Phys.org Breaking News