Whether you're a researcher, a foundation, or a family touched by this disease — there's a way to contribute.
Access our open-source tools, join our partner lab program, or collaborate on publications.
Explore Lab PartnershipsConnect with us, stay informed, or help spread the word about open-source Alzheimer's research.
See How to HelpYou don't need a lab to make a difference. Here's how foundations, advocates, and families can support open-source Alzheimer's research.
Interested in a partnership? Reach out to discuss how your foundation can collaborate with our research team.
Send us an emailJoin our mailing list for monthly research updates, new publications, and milestones.
Subscribe to updatesInvite us to present our research and tools to your community, members, or research network.
Request a presentationFollow David Scott Lewis for research updates, conference recaps, and open-science advocacy.
View LinkedIn profileHelp spread the word about open-source Alzheimer's drug discovery. Every share reaches someone who might contribute.
Our partner lab program provides shared compute, co-authorship opportunities, and full platform access.
Access our GPU infrastructure for molecular docking, MD simulation, and virtual screening at no cost.
Joint publications on results generated using our platform. We contribute computational methodology; you contribute domain expertise.
Complete access to all 37+ modules, documentation, and training materials. Priority support from our development team.
Our platform is designed to integrate seamlessly with the open-source tools your lab already uses. Inputs and outputs follow standard chemical file formats (SDF, MOL2, PDB, SMILES), so you can pipe results directly into your existing workflows.
Standard Python API for all modules. Install via pip, configure your target, and run. Documentation includes step-by-step tutorials for every module, from basic screening to advanced MD simulation analysis.
Minimum requirements: Python 3.9+, 16GB RAM for basic screening, GPU recommended for MD simulation and structure prediction. All modules run on standard academic computing infrastructure -- no supercomputer or cloud GPU required for most workflows.
For pharmaceutical companies and large research organizations that need validated, GLP-compliant computational analysis, our commercial arm AIXC BioSciences offers full-service computational drug discovery with dedicated support, custom reporting, and regulatory documentation.
Whether you're a foundation exploring partnerships or a researcher ready to use our tools — we'd love to hear from you.