Job titles of the future: Nature’s drug designer

· Source: MIT Technology Review · Field: Science & Research — Life Sciences & Biology, Environmental Science & Earth Systems, Artificial Intelligence & Machine Learning · Depth: Intermediate, quick

Summary

Chemist Tim Cernak, formerly of Merck, is pioneering "conservation chemistry," a new discipline applying precision drug design to treat diseases in ecosystems. Starting in 2018, Cernak transitioned from developing human therapies for cancer, HIV, and diabetes to addressing ailments in animals and plants, noting that current veterinary pharmaceuticals are often indiscriminate and harmful, like itraconazole for frogs. Now an associate professor at the University of Michigan, his work involves treating diverse patients, from Gila monsters with parasites to bald eagles with avian flu and hemlock trees with invasive species. He utilizes Google DeepMind's AlphaFold for visualizing protein structures and robots to rapidly screen up to 1,500 potential drugs daily, significantly accelerating the design workflow. Cernak acknowledges the historical risks of chemicals in conservation, such as DDT's impact on bald eagles, but argues for chemists' inclusion to develop advanced, targeted solutions for environmental health.

Key takeaway

For research scientists and conservationists seeking advanced solutions for ecological health, consider integrating precision chemistry and AI-driven drug design. Your current reliance on broad-spectrum treatments for non-human patients may cause unintended harm. Explore applying protein-modeling software and high-throughput screening to develop targeted therapies for specific species or environmental threats, moving beyond outdated chemical tools to address mass extinction challenges effectively.

Key insights

Precision drug design, enhanced by AI, can be applied to conservation for targeted ecological health solutions.

Principles

Method

Utilize protein-modeling software like AlphaFold to visualize 3D protein structures, then rapidly generate and screen potential drugs using robotic lab automation.

In practice

Topics

Best for: AI Scientist, Research Scientist, Domain Expert

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Editorial summary, takeaway, and curation by AIssential. Original article published by MIT Technology Review.