We provide the computational platform. You bring the scientific question. Together, we accelerate Alzheimer's research.
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.
Tell us about your target, your lab, and your research goals. We will set up a call to discuss how our platform can accelerate your work.