Guiding Generative Molecular Design with Experimental Feedback Using Oracles

Generative chemistry with AI has the potential to revolutionize how scientists approach drug discovery and development, health, and materials science and…

Generative chemistry with AI has the potential to revolutionize how scientists approach drug discovery and development, health, and materials science and engineering. Instead of manually designing molecules with “chemical intuition” or screening millions of existing chemicals, researchers can train neural networks to propose novel molecular structures tailored to the desired properties.

Source

Leave a Reply

Your email address will not be published.

Previous post Forever Skies launches on PlayStation 5 on April 14
Next post Shrink Genomics and Single-Cell Analysis Time to Minutes with NVIDIA Parabricks and NVIDIA AI Blueprints