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AI Drug Screening.pdf

WDNA-A1-Poster_Drug-Discovery_E.pdf
Preview of AI Drug Screening
🔗 Source: dna.wales
📊 Size: 465 KB
📄 Pages: 1 page
⬇️ Downloads: 61

Summary

A major challenge in drug discovery is the 16% failure rate of drugs in safety studies due to liver failure, prompting the need for improved strategies. Artificial intelligence (AI) is being used to discover new drugs, and a combined approach utilizing AI-informed 3D shape-based drug screening has been proposed. This approach screens compound libraries for chemicals similar in 3D shape to the natural ligand or binding pocket of the target protein, and re-screens hit drugs against the shape of drugs that cause liver toxicity. The method has been confirmed to work, generating a new and improved drug screening platform. Benefits include improved drug discovery process, reduced time to identify lead compounds, and reduced drug discovery costs.

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Description

A major challenge in drug discovery is the 16% failure rate of drugs in safety studies due to liver failure, prompting the need for improved strategies.

Technical Information

  • File Format: PDF
  • File Size: 465 KB
  • Pages: 1
  • Language: EN
  • Total Downloads: 61
  • Last Updated: 1 week ago

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This PDF document about AI Drug Screening provides comprehensive information and guidance. Whether you're a beginner or advanced user, this resource offers valuable insights into AI Drug Screening.

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If you're interested in AI Drug Screening, you might also want to explore:

Drug guideDrug tutorialScreening guideScreening tutorial

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