Google · Google DeepMind
Accelerating the search for antimicrobial peptides with Google Antigravity
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New antibiotics are urgently needed to help with rising levels of antimicrobial resistance, but searching for new therapeutics is often a slow, labor-intensive process.
Key facts
- Rising antimicrobial resistance is one of the most pressing global health crises of their time and could result in an estimated 10 million annual deaths globally by 2050
- The team would like to acknowledge the contributions of the following team members: Maria Gabriela Cardoso, Victoria Johnston, Lexi Walker, Gena Hong, James King, Richard Green, Filip Radlinski, Artem
- To provide this end-to-end workflow in a single workspace, they are introducing the Biomolecular Structure Viewer, a 3D visualization tool embedded directly into Antigravity
- Using Google Antigravity allows researchers to navigate the vast biological search space efficiently while leveraging accurate protein function predictions from a domain-specific model
Summary
Pengfei Tian, Maxwell L. Google Antigravity provides an agentic science workbench that empowers biologists to discover, structurally evaluate, and prioritize promising targets quickly, compressing what used to be a fragmented search over multiple databases into a single session. This technical walkthrough shows how biologists used Google Antigravity to uncover a novel antimicrobial peptide candidate which has predicted activity against the pathogens involved in respiratory tract infections. Rising antimicrobial resistance is one of the most pressing global health crises of their time and could result in an estimated 10 million annual deaths globally by 2050.