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Drug discovery meets chatbot: Simplifying science

An AI-driven interface makes cutting-edge models accessible to all — PhDs optional.

Drug discovery, a notoriously time-consuming and costly process, is about to get a makeover. SandboxAQ, a tech startup with deep roots in physics-based models, has partnered with Anthropic's Claude to integrate its powerful AI tools into a conversational interface.


This means that researchers no longer need a PhD in computing to access sophisticated drug discovery and materials science tools. The company’s large quantitative models (LQMs) are now accessible via natural language commands, streamlining the process from theoretical calculations to practical application.


‘For the first time, we have a frontier [quantitative] model on a frontier LLM that someone can access in natural language,’ said Nadia Harhen, SandboxAQ’s general manager of AI simulation. This innovation could revolutionise how researchers approach complex problems, making advanced scientific tools accessible to a broader audience.


While other startups focus on the science itself, SandboxAQ is addressing the user experience. Computational scientists and research teams from large pharmaceutical or industrial companies can now leverage these models without needing extensive digital infrastructure. The company’s customers come to them when they have tried all the existing software solutions, which often fail due to the complexity of their specific requirements.


SandboxAQ's approach could democratise access to cutting-edge technology, making it easier for anyone with an idea and a brain to contribute to groundbreaking research. It might just mean that drug discovery is no longer limited to those with the most expensive degrees.

Original source:  https://techcrunch.com/2026/05/18/sandboxaq-brings-its-drug-discovery-models-to-claude-no-phd-in-computing-required/
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