Compliance & Validation — Documented
ISO 27001, SOC 2 Type II
Physics-based computational platform for drug discovery and materials design, augmented by ML.
Schrodinger provides a comprehensive suite of physics-based simulation and machine learning tools for drug discovery. Their platform spans molecular dynamics, free energy perturbation calculations, and AI-driven lead optimization, used by major biopharma companies to reduce the time and cost of bringing new medicines to market.
100% — Complete coverage. Coverage score — how completely Atlas documents Schrodinger across 7 buyer-evaluation areas. Reflects available Atlas data, not solution quality.
ISO 27001, SOC 2 Type II
cloud, on premise, private cloud
Annual subscription by module
3–6 months
Mid-Size Biotech, Large Pharma, Top 20 Pharma, Drug Discovery
ADMET Prediction, Molecular Generation, Protein Structure Prediction
Public, $200M raised, 700+ employees, Founded 1990
Not captured in Atlas data — confirm directly. Excluded from the score above.
Who owns model outputs? Is our proprietary data used to train models others can access, and where does our data reside?
Can you share validation studies or benchmarks, explain how the model reaches its conclusions, and describe how bias and drift are monitored?
A selective TYK2 inhibitor discovered using Schrödinger's physics-based computational platform (developed by Nimbus Therapeutics) was acquired by Takeda for $4 billion upfront, demonstrating commercial validation of a computationally designed clinical asset.
press release (Nimbus Therapeutics) · 2022-12-13 — Partner: Nimbus Therapeutics / Takeda