Artificial Intelligence1 min read

Agentic cheminformatics with Google Antigravity

By · Published by Everything Blog

In short

The platform operates as a collaborative workbench by dividing tasks between language model reasoning and specialized cheminformatics utilities. Grounded in the open-source RDKit toolkit, it interfaces directly with established chemistry databases including ChEMBL and PubChem. In a demonstration modeling real-world lung cancer treatments, the agent analyzed crizotinib and lorlatinib to explore rigidification techniques that reduce rotatable bonds. Researchers can quickly review thousands of candidate compounds, run matched molecular pair analyses, and evaluate synthetic pathways for proposed rigidified macrocycles.

Key points

  • Language models handle orchestration and reasoning while specialized, deterministic tools…: Language models handle orchestration and reasoning while specialized, deterministic tools carry out sensitive molecular computations.
  • The agent proposes novel rigidified macrocycles and accompanying synthetic routes based o…: The agent proposes novel rigidified macrocycles and accompanying synthetic routes based on data gathered across thousands of molecules.
  • Researchers can use the collaborative system to directly plot and compare molecular poten…: Researchers can use the collaborative system to directly plot and compare molecular potency against the quantity of rotatable bonds.

Sources checked by our analysis pipeline: 1

Designing new medicines requires curating complex data from charts, figures and literature, training predictive models, and proposing candidate molecules to synthesize — a workflow that typically takes multiple days for a single iteration.

Here we show how Google Antigravity, equipped with our new Cheminformatics Skills, accelerates drug discovery workflows. Using real-world lung cancer treatments, an agent searches through thousands of compounds, performs matched molecular pair analysis, and proposes novel rigidified macrocycles with synthetic routes in just an hour.

Chemistry is one of science’s richest public records — spanning millions of structures across journal articles and vendor catalogs. It provides a common representation that links physics and mathematics to the life and environmental sciences. Molecules and their transformations are ubiquitous and shape the everyday world.

Despite decades of progress in cheminformatics, chemists still spend too much time wrangling data, a process complicated by the fact that molecules can be represented in many ways: from text descriptions to images or data structures. The same molecule can appear as an IUPAC name in a paper, a Markush structure in a patent, or a…

Artificial Intelligence