AI method bridges language and chemistry for efficient, explainable molecule creation

AI method bridges language and chemistry for efficient, explainable molecule creation

The process of discovering molecules that have the properties needed to create new medicines and materials is cumbersome and expensive, consuming vast computational resources and months of human labor to narrow down the enormous space of potential candidates.

“There is a real cost to moving fast”: Using AI to accelerate drug discovery - Stack OverflowOvercast

On this episode of Leaders of Code, Ben Popper hosts a conversation with Maureen Makes, VP of Engineering at Recursion, and Ellen Brandenberger, Senior Director of Product Strategy for Overflow API. They discuss AI's role in drug discovery, scaling and integration challenges, and the importance of innovation in achieving the high standards desired.

Recursion And Enamine Release AI-Curated Screening Libraries Targeting 100 Challenging Drug Targets - Data Intelligence

Recursion and Enamine announced the release of ten curated screening libraries generated through their AI-enabled collaboration. The libraries are designed to accelerate hit identification across 100 difficult-to-target areas of human biology and represent a filtered subset of more than 15,000 newly synthesized compounds. The effort combines Recursion’s proprietary machine learning platform—the Recursion OS—with Enamine’s REAL Space, a virtual c…

The process of discovering molecules that have the properties to create new drugs and materials is heavy and expensive, consuming vast computing resources and months of human work to reduce the huge space of potential candidates. Large language models (LLM) such as Chatgpt could streamline this process, [...]