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Building AI models that understand chemical principles

MIT Associate Professor Connor Coley combines chemistry and machine learning to accelerate drug discovery, developing AI models that incorporate chemical intuition.

SourceMIT News AIAuthor: Anne Trafton | MIT News
Building AI models that understand chemical principles
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Under the source content permission, this page provides an editorial summary, key points, and a link to the original article.

Key points and analysis

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EngineersIntermediate

Key points

  • Coley's research uses AI to screen billions of potential drug compounds and design new molecules.
  • Models like ShEPhERD evaluate drug candidates based on 3D interactions with target proteins.
  • FlowER predicts reaction products with constraints based on fundamental physical principles.

Highlights and analysis are generated automatically and may contain errors. Check the original source.