Schrodinger Suite 2023-1 (x64)

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Schrцdinger is a scientific leader in computational chemistry, providing software solutions and services for life sciences and materials research. Schrцdinger aims to provide integrated software solutions and services that truly meet its customers' needs. We want to empower researchers around the world to achieve their goals of improving human health and quality of life through advanced computational techniques that transform the way chemists design compounds and materials. By building and deploying breakthrough scientific software solutions and forming collaborations and partnerships, we help scientists accelerate their research and development activities, reduce costs, and make novel discoveries that might otherwise not be possible.

Schrцdinger software suite is a drug design software using both ligand and structure-based methods. Schrцdinger provides accurate, reliable, and high performance computational technology to solve real-world problems in life science research. It provides superior solutions and services for the design, selection, and optimization of novel drug candidates. Schrцdinger's predictive models will enable drug discovery scientists to assess properties of chemical compounds early in the discovery process and to select drug candidates that have optimal profiles. The predictive power of Schrцdinger's software allows scientists to accelerate their research and development activities, reduce research costs, and make novel discoveries that might not be possible with other computational or experimental approaches.

DRUG DISCOVERY
Comprehensive solutions to accelerate lead discovery and optimization, validated by our collaborators' success across a wide array of targets.

MATERIALS SCIENCE
Molecular simulations of chemical systems to design materials essential to modern life.

Make developable biomolecules with well-optimized properties
Design better quality biomolecules with predictive methods to optimize molecules from sequence to structure.

Leverage tractable physics-based workflows
Visualize structures and access cutting-edge predictive computational modeling workflows for biologics discovery within a streamlined portal.

System Requirements
OS:Windows 10, versions, 20H2, 21H1, 21H2/Windows 11, version 21H2.
CPU:x86_64 compatible processor
Memory:4 GB memory per core
Space:18 GB disk space for software installation; 400-500 GB if databases (PDB, BLAST, etc) are also installed
Network card with a configured network interface
16-bit color (for Maestro)


Homepage

https://www.schrodinger.com/

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