> ## Documentation Index
> Fetch the complete documentation index at: https://mintlify.com/google-deepmind/alphafold3/llms.txt
> Use this file to discover all available pages before exploring further.
# Citation
> How to cite AlphaFold 3 in your research
Any publication that discloses findings arising from using AlphaFold 3 source code, model parameters, or outputs **must** cite the AlphaFold 3 paper.
## Citation Requirement
If you use AlphaFold 3 in your research, you must cite the following paper:
**Accurate structure prediction of biomolecular interactions with AlphaFold 3**
Published in *Nature*, Volume 630, Issue 8016, Pages 493-500 (2024)
DOI: [10.1038/s41586-024-07487-w](https://doi.org/10.1038/s41586-024-07487-w)
***
## BibTeX Format
For LaTeX and BibTeX users, use the following citation:
```bibtex theme={null}
@article{Abramson2024,
author = {Abramson, Josh and Adler, Jonas and Dunger, Jack and Evans, Richard and Green, Tim and Pritzel, Alexander and Ronneberger, Olaf and Willmore, Lindsay and Ballard, Andrew J. and Bambrick, Joshua and Bodenstein, Sebastian W. and Evans, David A. and Hung, Chia-Chun and O'Neill, Michael and Reiman, David and Tunyasuvunakool, Kathryn and Wu, Zachary and Žemgulytė, Akvilė and Arvaniti, Eirini and Beattie, Charles and Bertolli, Ottavia and Bridgland, Alex and Cherepanov, Alexey and Congreve, Miles and Cowen-Rivers, Alexander I. and Cowie, Andrew and Figurnov, Michael and Fuchs, Fabian B. and Gladman, Hannah and Jain, Rishub and Khan, Yousuf A. and Low, Caroline M. R. and Perlin, Kuba and Potapenko, Anna and Savy, Pascal and Singh, Sukhdeep and Stecula, Adrian and Thillaisundaram, Ashok and Tong, Catherine and Yakneen, Sergei and Zhong, Ellen D. and Zielinski, Michal and Žídek, Augustin and Bapst, Victor and Kohli, Pushmeet and Jaderberg, Max and Hassabis, Demis and Jumper, John M.},
journal = {Nature},
title = {Accurate structure prediction of biomolecular interactions with AlphaFold 3},
year = {2024},
volume = {630},
number = {8016},
pages = {493--500},
doi = {10.1038/s41586-024-07487-w}
}
```
***
## Text Citation Formats
### APA Style
```text theme={null}
Abramson, J., Adler, J., Dunger, J., Evans, R., Green, T., Pritzel, A., Ronneberger, O., Willmore, L., Ballard, A. J., Bambrick, J., Bodenstein, S. W., Evans, D. A., Hung, C.-C., O'Neill, M., Reiman, D., Tunyasuvunakool, K., Wu, Z., Žemgulytė, A., Arvaniti, E., Beattie, C., Bertolli, O., Bridgland, A., Cherepanov, A., Congreve, M., Cowen-Rivers, A. I., Cowie, A., Figurnov, M., Fuchs, F. B., Gladman, H., ... Jumper, J. M. (2024). Accurate structure prediction of biomolecular interactions with AlphaFold 3. Nature, 630(8016), 493-500. https://doi.org/10.1038/s41586-024-07487-w
```
### MLA Style
```text theme={null}
Abramson, Josh, et al. "Accurate Structure Prediction of Biomolecular Interactions with AlphaFold 3." Nature, vol. 630, no. 8016, 2024, pp. 493-500. doi:10.1038/s41586-024-07487-w.
```
### Chicago Style
```text theme={null}
Abramson, Josh, Jonas Adler, Jack Dunger, Richard Evans, Tim Green, Alexander Pritzel, Olaf Ronneberger, et al. "Accurate Structure Prediction of Biomolecular Interactions with AlphaFold 3." Nature 630, no. 8016 (2024): 493-500. https://doi.org/10.1038/s41586-024-07487-w.
```
### Nature Style
```text theme={null}
Abramson, J. et al. Accurate structure prediction of biomolecular interactions with AlphaFold 3. Nature 630, 493-500 (2024).
```
***
## Authors
### Lead Authors
Josh Abramson, Jonas Adler, Jack Dunger, Richard Evans, Tim Green, Alexander Pritzel, Olaf Ronneberger, Lindsay Willmore
### Contributing Authors
Andrew J. Ballard, Joshua Bambrick, Sebastian W. Bodenstein, David A. Evans, Chia-Chun Hung, Michael O'Neill, David Reiman, Kathryn Tunyasuvunakool, Zachary Wu, Akvilė Žemgulytė, Eirini Arvaniti, Charles Beattie, Ottavia Bertolli, Alex Bridgland, Alexey Cherepanov, Miles Congreve, Alexander I. Cowen-Rivers, Andrew Cowie, Michael Figurnov, Fabian B. Fuchs, Hannah Gladman, Rishub Jain, Yousuf A. Khan, Caroline M. R. Low, Kuba Perlin, Anna Potapenko, Pascal Savy, Sukhdeep Singh, Adrian Stecula, Ashok Thillaisundaram, Catherine Tong, Sergei Yakneen, Ellen D. Zhong, Michal Zielinski, Augustin Žídek
### Senior Authors
Victor Bapst, Pushmeet Kohli, Max Jaderberg, Demis Hassabis, John M. Jumper
***
## What to Cite
You must cite AlphaFold 3 if you use any of the following:
### Source Code
* The AlphaFold 3 GitHub repository
* Any code derived from AlphaFold 3
* Modified versions of AlphaFold 3
### Model Parameters
* Pre-trained model weights
* Fine-tuned models based on AlphaFold 3
### Outputs
* Predicted structures (CIF files)
* Confidence scores
* Any analysis or findings derived from AlphaFold 3 predictions
### Methods
* If AlphaFold 3 was used in your methodology
* Even if results are not shown but informed the research
***
## Additional References
### Supplementary Information
For detailed method descriptions, please also refer to the Supplementary Information of the AlphaFold 3 paper:
* Detailed architecture descriptions
* Training procedures
* Validation benchmarks
* Limitations and caveats
### Related Work
If you also use AlphaFold 2, cite:
```bibtex theme={null}
@article{Jumper2021,
author = {Jumper, John and Evans, Richard and Pritzel, Alexander and Green, Tim and Figurnov, Michael and Ronneberger, Olaf and Tunyasuvunakool, Kathryn and Bates, Russ and Žídek, Augustin and Potapenko, Anna and Bridgland, Alex and Meyer, Clemens and Kohl, Simon A. A. and Ballard, Andrew J. and Cowie, Andrew and Romera-Paredes, Bernardino and Nikolov, Stanislav and Jain, Rishub and Adler, Jonas and Back, Trevor and Petersen, Stig and Reiman, David and Clancy, Ellen and Zielinski, Michal and Steinegger, Martin and Pacholska, Michalina and Berghammer, Tamas and Bodenstein, Sebastian and Silver, David and Vinyals, Oriol and Senior, Andrew W. and Kavukcuoglu, Koray and Kohli, Pushmeet and Hassabis, Demis},
journal = {Nature},
title = {Highly accurate protein structure prediction with AlphaFold},
year = {2021},
volume = {596},
number = {7873},
pages = {583--589},
doi = {10.1038/s41586-021-03819-2}
}
```
***
## License Information
AlphaFold 3 is licensed for **non-commercial use only**.
### Source Code License
The AlphaFold 3 source code is licensed under:
**Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC-BY-NC-SA 4.0)**
* **Attribution**: Must cite the paper
* **NonCommercial**: No commercial use
* **ShareAlike**: Derivative works must use the same license
License text: [https://github.com/google-deepmind/alphafold3/blob/main/LICENSE](https://github.com/google-deepmind/alphafold3/blob/main/LICENSE)
### Model Parameters License
The AlphaFold 3 model parameters are subject to separate terms:
**AlphaFold 3 Model Parameters Terms of Use**
* You may only use parameters received directly from Google
* Non-commercial use only
* Additional restrictions apply
Terms: [https://github.com/google-deepmind/alphafold3/blob/main/WEIGHTS\_TERMS\_OF\_USE.md](https://github.com/google-deepmind/alphafold3/blob/main/WEIGHTS_TERMS_OF_USE.md)
***
## Acknowledgments in Publications
### Suggested Acknowledgment Text
Consider including an acknowledgment like:
> "Structure predictions were performed using AlphaFold 3 (Abramson et al., Nature 2024). We thank Google DeepMind for making the AlphaFold 3 code and model parameters available for non-commercial use."
### Funding and Support
If appropriate, acknowledge:
* Google DeepMind and Isomorphic Labs for developing AlphaFold 3
* Computational resources used for running predictions
* Any grants or funding that supported the research
***
## Questions About Citation
If you have questions about how to cite AlphaFold 3 or licensing:
**Email**: [alphafold@google.com](mailto:alphafold@google.com)
***
## Disclaimer
AlphaFold 3 and its outputs are for theoretical modeling only. Not intended, validated, or approved for clinical use.
AlphaFold 3 outputs are predictions with varying confidence levels and should be interpreted carefully. Always:
* Validate predictions experimentally when possible
* Check confidence scores (pLDDT, ranking scores)
* Use discretion before relying on predictions
* Do not use for clinical or medical decisions
* Clearly communicate prediction uncertainty in publications