With Neurosnap you can
We model, screen, and optimize peptide binders against challenging targets entirely in silico.
Trusted by 50,000+ scientists across 5,000+ labs and organizations
Proudly used by top companies and institutions globally
Research capabilities
Move through the computational stages of discovery with specialized tools in one connected workspace.
State-of-the-art structure prediction for cyclic peptides and protein–peptide complexes from any sequence.
Scaffold motifs or design de novo cyclic peptides targeted to your protein of interest.
Run hundreds of thousands of protein–peptide structure predictions and calculate free energies for complexes.
Use physics-based simulations to explore binding modes, refine structures, and assess stability over time.
Built for scientists
Use proven tools, inspect results, and build repeatable workflows directly in your browser.
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.
Scientists globally
Curated tools
Jobs submitted
Security & privacy
Only you and your colleagues can access submitted data and generated results.
Secure infrastructure and platform controls protect sensitive research workloads.
Your results and intellectual property remain yours. No royalties or equity.
Teams, onboarding, and integration support help organizations scale confidently.
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.
Ready when you are
Start free, explore the platform, and upgrade when your research needs more scale.