Your Guide to Common Inquiries

    Frequently Asked Questions

    Welcome to our comprehensive FAQ page. Here, you will find answers to some of the most commonly asked questions about our services, products, and policies. Whether you are a new customer, a returning user, or simply exploring what we offer, this guide is designed to provide clarity and guidance on a wide range of topics.

    What Scientists Most Want to Know

    Citing SynovAI

    How to Cite SynovAI

    If the SynovAI platform contributed to your research, our terms of use ask that you cite it. Please cite the platform along with the underlying method. Copy a ready-made citation below.

    Plain text
    SynovAI, Inc. SynovAI: AI-Powered Retrosynthesis Platform, 2026. https://synovai.net.

Shee, Y.; Li, H.; Zhang, P.; Nikolic, A. M.; Lu, W.; Kelly, H. R.; Manee, V.; Sreekumar, S.; Buono, F. G.; Song, J. J.; Newhouse, T. R.; Batista, V. S. Site-Specific Template Generative Approach for Retrosynthetic Planning. Nat. Commun. 2024.

Shee, Y.; Morgunov, A.; Li, H.; Batista, V. S. DirectMultiStep: Direct Route Generation for Multistep Retrosynthesis. J. Chem. Inf. Model. 2025.

Li, H.; Sarkar, S.; Lu, W.; Loftus, P. O.; Qiu, T.; Shee, Y.; Cuomo, A. E.; Webster, J.-P.; Kelly, H. R.; Manee, V.; Sreekumar, S.; Buono, F. G.; Crabtree, R. H.; Newhouse, T. R.; Batista, V. S. Collective intelligence for AI-assisted chemical synthesis. Nature 2026, 651, 107-115. https://doi.org/10.1038/s41586-026-10131-4.
    BibTeX
    @software{synovai_platform,
  author = {{SynovAI, Inc.}},
  title  = {{SynovAI: AI-Powered Retrosynthesis Platform}},
  year   = {2026},
  url    = {https://synovai.net}
}

@article{shee2024sitespecific,
  author  = {Shee, Yu and Li, Haote and Zhang, Pengpeng and Nikolic, Andrea M. and Lu, Wenxin and Kelly, H. Ray and Manee, Vidhyadhar and Sreekumar, Sanil and Buono, Frederic G. and Song, Jinhua J. and Newhouse, Timothy R. and Batista, Victor S.},
  title   = {{Site-Specific Template Generative Approach for Retrosynthetic Planning}},
  journal = {Nature Communications},
  year    = {2024}
}

@article{shee2025directmultistep,
  author  = {Shee, Yu and Morgunov, Anton and Li, Haote and Batista, Victor S.},
  title   = {{DirectMultiStep: Direct Route Generation for Multistep Retrosynthesis}},
  journal = {Journal of Chemical Information and Modeling},
  year    = {2025}
}

@article{li2026collective,
  author  = {Li, Haote and Sarkar, Sumon and Lu, Wenxin and Loftus, Patrick O. and Qiu, Tianyin and Shee, Yu and Cuomo, Abbigayle E. and Webster, John-Paul and Kelly, H. Ray and Manee, Vidhyadhar and Sreekumar, Sanil and Buono, Frederic G. and Crabtree, Robert H. and Newhouse, Timothy R. and Batista, Victor S.},
  title   = {{Collective intelligence for AI-assisted chemical synthesis}},
  journal = {Nature},
  volume  = {651},
  pages   = {107--115},
  year    = {2026},
  doi     = {10.1038/s41586-026-10131-4}
}

    Bibliography

    Peer-reviewed publications describing the methods behind the platform.

    Site-Specific Template Generative Approach for Retrosynthetic Planning

    Yu Shee, Haote Li, Pengpeng Zhang, Andrea M. Nikolic, Wenxin Lu, H. Ray Kelly, Vidhyadhar Manee, Sanil Sreekumar, Frederic G. Buono, Jinhua J. Song, Timothy R. Newhouse & Victor S. Batista

    Nature Communications · 2024

    DirectMultiStep: Direct Route Generation for Multistep Retrosynthesis

    Yu Shee, Anton Morgunov, Haote Li & Victor S. Batista

    Journal of Chemical Information and Modeling · 2025

    Collective intelligence for AI-assisted chemical synthesis

    Haote Li, Sumon Sarkar, Wenxin Lu, Patrick O. Loftus, Tianyin Qiu, Yu Shee, Abbigayle E. Cuomo, John-Paul Webster, H. Ray Kelly, Vidhyadhar Manee, Sanil Sreekumar, Frederic G. Buono, Robert H. Crabtree, Timothy R. Newhouse & Victor S. Batista

    Nature · 2026