# protein science insights

Rangoon Insights reporting and guides tagged protein science.

Canonical: https://rangoon.ai/insights/tags/protein-science/

## Topics
- [Agent systems](https://rangoon.ai/insights/topics/agents/): Agent runtimes, handoffs, tools, and the boundaries that make them reviewable.
- [Governance](https://rangoon.ai/insights/topics/governance/): Policy, identity, authorization, approvals, and evidence for consequential work.
- [Infrastructure](https://rangoon.ai/insights/topics/infrastructure/): Model serving, sandboxes, tool services, and deployment boundaries.
- [Models](https://rangoon.ai/insights/topics/models/): Inference choices, local serving, compatibility, and operational tradeoffs.

## Stories
- [Chai-2 paired de novo antibody designs with a bounded wet-lab report](https://rangoon.ai/insights/archive-chai2-zero-shot-antibody-2025/)
  Chai Discovery posted its Chai-2 antibody-design study in July 2025, reporting zero-shot designs and a specified set of wet-lab tests.
- [Boltz-2 put binding-affinity prediction beside structure prediction](https://rangoon.ai/insights/archive-boltz2-binding-affinity-2025/)
  The Boltz team introduced Boltz-2 on June 6, 2025, reporting an open model for joint biomolecular structure and binding-affinity prediction.
- [RFdiffusion2 made enzyme-backbone generation a testable design hypothesis](https://rangoon.ai/insights/archive-rfdiffusion2-enzyme-design-2025/)
  The Institute for Protein Design introduced RFdiffusion2 on April 10, 2025, reporting a model for generating enzyme backbones from minimally specified reaction chemistry.
- [BioEmu-1 made protein-conformation emulation a sampling question](https://rangoon.ai/insights/archive-bioemu-protein-ensembles-2025/)
  Microsoft Research introduced BioEmu-1 on February 20, 2025, reporting a generative model intended to emulate protein equilibrium ensembles for research.
- [AlphaFold 3 code and weights reopened a reproducibility boundary](https://rangoon.ai/insights/archive-alphafold3-code-weights-academic-access/)
  Google DeepMind released AlphaFold 3 code and model weights for non-commercial academic research in November 2024, expanding access without turning predictions into experiments.


## More information

- [Documentation index](https://rangoon.ai/llms.txt)
- [AI access and policies](https://rangoon.ai/ai/)
- [Source repository](https://github.com/hypler-dev/rangoon)