Schrödinger

Schrödinger builds a physics-based software platform for molecular discovery and design, and the physics-based description is the substance of its position rather than marketing language. Where much of this field now leans on statistical prediction from prior data, Schrödinger's tools compute molecular behaviour from physical principles, which is what allows them to make useful predictions about molecules that resemble nothing in an existing dataset. The platform serves two distinct markets from a shared foundation: life science and materials science.

On the life science side, Maestro is the modelling environment, Glide handles ligand docking, FEP+ performs free energy perturbation calculations for binding affinity prediction, BioLuminate covers biologics, and LiveDesign is the collaborative design platform where teams work on candidates together. The solutions mapped to these run across the discovery pipeline: structure prediction, target enablement, hit discovery, hit-to-lead, lead optimisation and drug formulation. Beyond small molecules it covers mixed modalities including antibody design, peptide discovery, enzyme engineering, bifunctional degraders and TCR modelling.

Materials science uses the same physics with different products. MS Maestro is the modelling interface, Desmond runs molecular dynamics, and Jaguar performs quantum chemistry calculations. Applications include polymeric materials, organic electronics, energy capture and storage, thin film processing, catalysis and reactivity, consumer packaged goods, metals, alloys and ceramics, and pharmaceutical formulations and delivery. Industries served span aerospace, automotive, oil and gas, semiconductors and specialty chemicals as well as pharma and biotech. Modelling services and collaborations are available where teams lack in-house computational chemistry capacity, and the company publishes online certification courses, teaching curricula, tutorials and a Python API. Pricing is not published.