AI for Science — Models, Agents & Tools for Researchers

As open as possible, as closed as necessary. Three evidence-aware discovery indexes for scientists working with AI.

Biological Foundation Models 345

Pretrained models, platforms, and benchmarks across sequences, structures, molecules, cells, tissue, and multimodal biology.

Scientific agents, self-driving laboratories, simulation systems, and evaluation harnesses with explicit autonomy and access labels.

Privacy-first AI coding and data-analysis tools matched to data sensitivity, deployment control, and practical research work.

I want to apply a pretrained model to my data or experiments — predict, embed, annotate, or score.Foundation Models →

I want an AI system that runs research, or I need to compare what scientific agents can do.Science Agents →

I need an AI coding or data tool suitable for my own, possibly sensitive, research data.Coding & Data Agents →

Related community projects and ELIXIR-CZ infrastructure beyond the three curated indexes.

From the ELIXIR-CZ community

Explore the genealogy and downstream evolution of AI protein-folding tools.

Explore the map ↗ GitHub ↗

ELIXIR-CZ infrastructure

Browse life-science tools, databases, computing, and storage services provided through ELIXIR-CZ. Access conditions vary by service.