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OVO: an open-source ecosystem for de novo protein design

Project description

OVO Overview

OVO, an open-source ecosystem for de novo protein design

OVO (pronounced "oh-voh") consolidates models, workflows, data management, and interactive visualization into a scalable, high-performance, infrastructure-agnostic platform for de novo protein design. OVO features Nextflow-based workflow orchestration, a storage layer, and both command-line and web interfaces that democratize scaffold design, binder design and diversification, and validation workflows.

TODO link to pre-print.

🐣 Getting started

To get started with OVO, please refer to the User Guide.

To preview the OVO web app (without the ability to submit jobs), see the OVO Demo Server.

🧬 Methods & Acknowledgments

We gratefully acknowledge the authors and developers of the following methods and tools available from OVO:

Method Name Description Reference / Paper Link
RFdiffusion Diffusion-based protein structure generation Watson et al. 2023 GitHub
ProteinMPNN Protein sequence design for fixed backbones Dauparas et al. 2022 GitHub
LigandMPNN Atomic context-conditioned protein sequence design Dauparas et al. 2025 GitHub
PyRosetta FastRelax Binder sequence design protocol Bennett et al. 2023 GitHub
AlphaFold2 / ColabDesign Deep learning-based protein structure prediction Jumper et al. 2021 GitHub (AlphaFold2), GitHub (ColabDesign)
BindCraft Binder design using AF2 backpropagation Pacesa et al. 2024 GitHub
Boltz Deep learning-based protein structure prediction Wohlwend et al. 2024, Passaro et al. 2025 GitHub
ESM-1v Protein language model for variant effect Meier et al. 2021 GitHub
ESM-IF Inverse folding with protein language models Hsu et al. 2022 GitHub
DSSP Secondary structure assignment Kabsch & Sander 1983, Joosten et al. 2010 GitHub
PEP-Patch Protein surface patches analysis Kufareva et al. 2023 GitHub
Protein-Sol Protein solubility prediction Hebditch et al. 2017 Web

🛠️ Development

OVO is an open-source project and we welcome contributions from the community.

Please refer to the Developer Guide for information on how to contribute to OVO.

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