With Neurosnap you can
We dock, simulate, and design small molecules to advance hits into optimized leads.
Trusted by 50,000+ scientists across 5,000+ labs and organizations
Proudly used by top companies and institutions globally
Compute protein–ligand affinities by docking to known sites or identifying pockets computationally.
Run physics-based simulations with absolute and relative free energy calculations across compound sets.
Design synthesizable molecules from libraries, binding pockets, or scaffold decoration workflows.
Explore structure–activity relationships to score substituent combinations and surface new chemotypes.
Access a vetted library of 100+ published, state-of-the-art models and workflows with demonstrated track records.
Run folding, docking, and simulations end-to-end in our web workspace to review, refine, and share results instantly.
Neurosnap pipelines let you chain tools, pass outputs downstream, and automate decisions with custom logic.
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Our tools and models utilize cutting edge optimization techniques as well as proprietary post-processing steps that ensure you get the highest quality results possible.
Only you and your colleagues will have access to the data submitted and produced by our platform. We firmly believe that your data is yours, and do not share data with any third parties.
Neurosnap employs state of the art cyber security measures used by both militaries and banks to ensure your data is always kept safe.
With Neurosnap, you get to keep all your IP. No royalties, no equity. The only thing you need to pay for is usage and users.
Our team of qualified experts are ready to guide and onboard you throughout the whole process.
Ajinomoto highlights how Neurosnap’s bioinformatics tools are well-organized and easy to discover, with tags and categories that make it simple to find exactly what they need.
Their teams values the user-friendly, browser-based interfaces—especially for scientists unfamiliar with command-line tools—so they can run workflows quickly without technical setup.
Rapid releases of state-of-the-art tools mean they can screen new methods immediately, avoid time-consuming local installations and dependency issues, and only install the tools that prove useful. This saves time on setup and literature checks while keeping their research moving fast.
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