> ## Documentation Index > Fetch the complete documentation index at: https://proto.evodesign.org/docs/llms.txt > Use this file to discover all available pages before exploring further. # Proto > A high-level programming language for designing DNA, RNA, and protein sequences

The Open-Source Infrastructure Layer for Biology

Proto is a high-level programming language for biology. Design DNA, RNA, and protein sequences with constraint-based optimization, composing computational and AI models into a single workflow. ## Two Components A constraint-based optimization framework for designing DNA, RNA, and protein sequences. Declare what you want, compose generators and scorers, and chain optimization stages into pipelines. Computational biology and biological AI tools through a single, consistent Python interface. Structure prediction, inverse folding, language models, sequence analysis, and more. ## How It Works Create **Segments** (contiguous sequence regions) and group them into **Constructs**. Start from scratch or provide a starting sequence. Assign **Generators** to segments. From simple random mutations to protein language models like ESM2 and ESM3, and inverse-folding models like ProteinMPNN. **Constraints** score how well each proposal meets your requirements. Use any of 120+ bioinformatics tools as scoring functions. **Optimizers** search sequence space to minimize total constraint scores. Chain multiple optimizers in a **Program** for multi-stage pipelines. ## Citation If you use Proto in your research, please cite our preprint: > Merchant AT, Guo D, Viggiano B, Brennan-Almaraz LE, Hur E, Mai T, Yin P, King SH, Ashley E, Hie BL. **A high-level programming language for generative biology with Proto.** *bioRxiv* (2026). doi: [10.64898/2026.06.22.733870](https://doi.org/10.64898/2026.06.22.733870) ```bibtex theme={null} @article{Merchant2026.06.22.733870, author = {Merchant, Aditi T and Guo, Daniel and Viggiano, Ben and Brennan-Almaraz, Lucas Emmanuel and Hur, Evelyn and Mai, Tina and Yin, Peter and King, Samuel H and Ashley, Euan and Hie, Brian L}, title = {A high-level programming language for generative biology with Proto}, elocation-id = {2026.06.22.733870}, year = {2026}, doi = {10.64898/2026.06.22.733870}, publisher = {Cold Spring Harbor Laboratory}, URL = {https://www.biorxiv.org/content/10.64898/2026.06.22.733870}, journal = {bioRxiv} } ``` ## Get Started Set up the optimization framework Design your first sequence Set up the bioinformatics tools library Run your first tool ## Acknowledgements Thank you to

Modal for sponsoring the compute used to develop and test the remote execution layer, and for making it straightforward to host the tool catalog. Thank you to

Stanford University and the

Arc Institute for supporting this work's development. Thank you to everyone who has contributed to Proto. Contributions of every size are welcome; see the contributing guides for [proto-language](https://github.com/evo-design/proto-language/blob/main/CONTRIBUTING.md) and [proto-tools](https://github.com/evo-design/proto-tools/blob/main/CONTRIBUTING.md) to get started.