SuperAPI AI Directory

Schrödinger

Schrödinger is a scientific leader in the field of chemical simulation software, developing advanced chemical simulation software for the pharmaceutical, biotechnology, and materials research fields. Its physics-driven computational platform is transforming the way therapeutics and materials are discovered, helping researchers discover and optimize better molecules faster. The platform can be used to discover, optimize, and formulate the materials of the future. Schrödinger also has a therapeutics business team that reduces the risk of drug discovery and development by selecting high-value targets with human genetics or clinical validation evidence. In addition, the platform provides educational resources developed by industry leaders, including hands-on learning of workflows using Schrödinger technology, step-by-step task and data analysis guidance, and learning the theory and applied science of using its software in the classroom. Its mission is to improve human health and quality of life by transforming the way therapeutics and materials are discovered.

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About this tool

Schrödinger is a scientific leader in developing advanced chemical simulation software, whose software is used in pharmaceuticals, biotechnology, and materials research.

Purpose Schrödinger's computational platform is driven by physics and is designed to transform the way therapeutics and materials are discovered, enabling future innovations to be realized today. The platform is aimed at the field of molecular discovery, helping users discover and optimize better molecules, and is used to discover, optimize, and formulate future materials.

Key Capabilities

  • Chemical simulation: Provides advanced chemical simulation software, serving pharmaceuticals, biotechnology, and materials research.
  • Molecular discovery and optimization: With its industry-leading platform, discover and optimize better molecules faster.
  • Materials R&D: Discover, optimize, and formulate future materials through a predictive computational platform.
  • Therapeutics R&D: Schrödinger's therapeutics team reduces the risk of drug discovery and development by selecting high-value targets with established human genetics or clinical validation, where these targets must present solvable design challenges and be considered likely to bring value to patients.

How to Use and Learning Resources Schrödinger provides educational resources developed by industry leaders to help users improve their skills, including: hands-on learning and practical application of workflows using Schrödinger technology; step-by-step instructions for performing tasks and analyzing data; and learning the theory and applied science of using industry-leading software in the classroom.

Event Information An upcoming webinar is listed in the materials: Schrödinger's medicinal chemists and computational chemists will demonstrate how to solve the EGFR triple mutant problem by combining industry-leading free energy perturbation technology (FEP+) with de novo design workflows, thereby effectively exploring new chemical space and identifying reversible inhibitor scaffolds. The time is October 22, 2026, 7:00 AM (Pacific Daylight Time) | 10:00 AM (US Eastern Daylight Time) | 3:00 PM (British Summer Time) | 4:00 PM (Central European Summer Time), and the format is online.

Applicable Scenarios Suitable for scientific research and industrial applications in the fields of pharmaceuticals, biotechnology, and materials research, as well as related education and training scenarios.

Limitations The materials do not provide information on pricing, fee models, specific platform support, or usage thresholds, and none is currently provided.