Aqemia applies generative AI and physics-based modeling through its proprietary QEMI platform to design novel drug candidates from first principles.
What it is
Aqemia is a drug invention platform that combines statistical mechanics, physics-based modeling, and generative AI to design entirely new molecular entities. Operating without reliance on prior experimental data, the system focuses on creating novel therapeutic candidates for major unmet medical needs in areas such as oncology and immunology.
Key features
- Proprietary QEMI platform combining physics-based modeling and generative AI
- End-to-end execution of virtual screening and hit expansion campaigns
- Structure selection and preparation based on target biology and binding sites
- Automated compound filtering, SMILES handling, and registration workflows
- Screening run retrospectives to support ongoing prioritization strategies
Who it's for
Computational chemists, machine learning engineers, and pharmaceutical research teams working on early-stage drug discovery and preclinical development programs.
Pricing
Check the official website for current pricing.
Use cases
- Run virtual screening campaigns for early drug discovery
- Select and prepare protein structures for binding site analysis
- Filter and register chemical compounds using SMILES and RDKit
- Analyze screening run performance to improve workflow reliability
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