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Google Antigravity speeds antimicrobial peptide search

Original title: Accelerating the search for antimicrobial peptides with Google Antigravity

Plain language

What it is: Google demonstrated how its development platform, Google Antigravity, helps scientists search for new antimicrobial peptides to fight antibiotic resistance. The company also introduced a built-in 3D visualization tool called Biomolecular Structure Viewer.
How it works: A researcher and an AI agent work together in a single workspace. The agent handles tasks like searching databases, analyzing protein structures, and summarizing scientific literature, while the researcher guides the overall strategy.
Where it is available: The tools are available within the Google Antigravity development platform.
Example: Researchers used the platform to find a new candidate peptide to fight bacteria that cause respiratory tract infections, and this candidate is now being tested in a physical lab.

What it is: Google showcased its agentic development platform, Google Antigravity, for identifying antimicrobial peptides, and introduced an embedded Biomolecular Structure Viewer.
How it works: The platform integrates the ProtNLM model to predict protein functions from raw amino acid sequences in UniProt. The AI agent orchestrates database queries, runs BLAST sequence alignments, retrieves AlphaFold 3D structures, and synchronizes interactive 3D annotations with the user.
Where it is available: These capabilities and the Biomolecular Structure Viewer are integrated directly into the Google Antigravity platform.
Example: An AI agent identified a bacteriocin candidate from the Lactococcin 972 family in Streptococcus pseudopneumoniae and generated an experimental protocol for wet-lab validation.

The headline and explanation on this page are based on Google's post. The full details are in the original.

Accelerating the search for antimicrobial peptides with Google Antigravity