OpenFold

Democratizing AI for Biology

Why OpenFold?

Open Source

An open-source project that can be used and improved by academics and companies alike.

Weights Available

Utilize the existing pre-trained weights to get quickly get started fine-tuning your model.

Permissive License

A permissively licensed model that allows commercial and non-commercial use.

Training Pipeline

Provides the tools used to train the model under the same license.

Optimized for Performance

Optimized performance for use on state-of-the-art and widely available GPUs.

PyTorch-Based

A supercomputer scale, distributed training, PyTorch-based training framework

What is OpenFold?

Mission Statement

OpenFold is a non-profit AI research and development consortium developing free and open-source software tools for biology and drug discovery. Our mission is to bring the most powerful software ever created -- AI systems with the ability to engineer the molecules of life -- to everyone. These tools can be used by academics, biotech and pharmaceutical companies, or students learning to create the medicines of tomorrow, to accelerate basic biological research, and bring new cures to market that would be impossible to discover without AI.

Structure Prediction

In biology, structure and function are inextricably linked. Understanding the mechanisms of biological systems, their engineering, and how to affect them therefore implies a need to know and understand their structure. The consortium is creating state-of-the-art AI-based protein modeling tools that can predict molecular structures with atomic accuracy, making this level of precision accessible in open source for both research and commercial applications for the first time. Researchers around the world will be able to use, improve, and contribute to this "predictive molecular microscope.”

Goals

This work aims to:

  • Develop a permissively licensed model competitive with the performance of state-of-the-art models.
  • Provide the entire training & inference stack and training datasets under the same permissive license
  • Optimize the performance of this model for use on state-of-the-art and widely available GPUs.

News

Announcing OpenFold

A set of leading academic and industry partners are announcing the formation of OpenFold, a non-profit artificial intelligence (AI) research consortium of organizations whose goal is to develop free and open source software tools for biology and drug discovery. OpenFold is a project of the Open Molecular Software Foundation (OMSF), a non-profit organization advancing molecular sciences by building communities for open source research software development. Read the full story in Business Wire.

Interview with Gustaf Ahdritz in TechCrunch

Gustaf Ahdritz is the PhD student in the Al Quraishi lab at Columbia University and one of the lead developers of OpenFold. He shares his thoughts in this TechCrunch piece on the value of open source and community in science, AI models and why OpenFold came about when AlphaFold2 is already out there.

Members

How to Contribute

Join the Consortium

All entities are welcome to join the consortium -- corporate, non-profit, and academic. Members contribute financially or technically and play a key role in choosing new directions and high-priority projects. Please note that joining the consortium as a member is primarily directed at organizations and requires committing resources through a participation agreement. If you are interested in becoming a member, please fill out the form linked below and we will follow up with more details.

Join the Consortium

Collaborate

The Consortium also benefits from support provided by different non-member organizations and individuals with aligned missions -- if you have a research idea or seek other collaboration opportunities, please reach out by filling the form linked below.

Propose Collaboration

Contribute through Code

OpenFold is an open source project and anyone can help contribute directly through a pull request or issue submission.

Visit OpenFold GitHub

Timeline

  • 1 Month
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  • 6 Months
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FAQ

What is the mission of the OpenFold Consortium?

Our goal is to develop an open ecosystem of accelerated AI for Biology tools in order to catalyze innovation, starting with state-of-the-art and permissively licensed protein structure prediction training and inference pipelines and models.

Who are the members?

The founding members of the consortium span academia, technology corporations, startups, and pharmaceutical companies. The launching group includes the AlQuraishi lab at Columbia University, Arzeda, Cyrus Biotechnology and Outpace Bio with many more to come, so stay tuned and get in touch! The OpenFold Consortium is hosted by the Open Molecular Software Foundation.

Who can join and how can we join the mission?

All are welcome! Member organizations are expected to commit resources to our shared goals and mission. Many types of contributions are welcome, including but not limited to in-kind, FTE, or monetary support. If this is you and your organization, please get in touch by filling out the interest form.

When will code and models be available?

The initial training and inference pipeline code is available today on our GitHub! We are currently working to optimize the codebase for large-scale training with our technology partners, which we will make publicly available as significant milestones are achieved. Over the next months, we will release the first freely licensed models for general use. OpenFold training data will be made available in the Registry of Open Data on AWS (RODA) thanks to their Open Data Sponsorship Program.

Founders

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