Drug discovery is one of the most expensive and complex processes in modern industry. Finding a new molecule can take decades and billions of dollars, yet many attempts end in failure. While AI startups have promised to solve this, most tools were designed only for highly technical experts. This is reported by Techcrunch.com reports .
SandboxAQ has partnered with Anthropic to simplify this process. The company's scientific AI models are now integrated directly into the Claude platform. This allows researchers to use advanced drug discovery and materials science tools through a simple conversational interface, without the need for complex computing infrastructure.
SandboxAQ, a spin-off from Alphabet chaired by former Google CEO Eric Schmidt, stands out with its 'physics-based' (LQMs) models. These models rely on real-world laws rather than text patterns. They perform quantum chemistry calculations and can model molecular dynamics and chemical reactions before laboratory testing.
Nadia Harhen, General Manager of AI Simulation at SandboxAQ, notes that this is the first time an advanced quantitative model has been combined with an LLM (Large Language Model). Previously, users needed their own digital infrastructure to run these models. Now, researchers at pharmaceutical and industrial companies can find solutions to their scientific problems using natural language.
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