Opening new worlds for molecular discovery
Schrödinger’s computational platform, powered by physics, is transforming the way therapeutics and materials are discovered to make innovations of the future achievable, today.
Life Science
Better therapeutics come from better molecules
Leverage the power of our industry-leading platform to discover and optimize better molecules, faster.
Materials Science
Material advances are made on the molecular level
Discover, optimize, and formulate the materials of the future with our predictive computational platform.
Pipeline
Advancing a pipeline of therapeutics built from our platform
Schrödinger’s therapeutics group strives to reduce risk in drug discovery and development by selecting high-value targets with established human genetics or clinical validation, where we can solve a design challenge, and where we believe we can deliver value for patients.
We deploy our platform to drive a pipeline of collaborative and proprietary drug discovery programs.
Explore our pipeline
Education
Join the digital chemistry revolution
Level up your skills with educational resources developed by industry leaders.
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Online certification courses
Practical learning and hands-on application of workflows using Schrödinger technology
Free learning resources
Step-by-step instructions for performing tasks and analyzing data
Teaching with Schrödinger
Industry-leading software in the classroom to learn theoretical and applied sciences
Company
Our Mission
Upcoming Events
- Life Science
- Webinar
Advanced chemical space exploration for the discovery of mutant-selective EGFR inhibitors
In this webinar, Schrödinger’s medicinal and computational chemists will show how they tackled the EGFR triple-mutant problem by coupling industry-leading free energy perturbation technology (FEP+) with de novo design workflows to effectively explore novel chemical space and identify reversible inhibitor scaffolds.
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Date & Time:
Oct 22nd, 2026 | 7:00 AM PDT | 10:00 AM EDT | 3:00 PM BST | 4:00 PM CEST
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Location:
Virtual
Date & Time: 
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