What’s new in the Life Science Schrödinger Suite Release 2024-2
We release new platform usability and technological improvements quarterly.
- Quickly identify FEP+ model parameters that optimize FEP+ accuracy by using an automated, machine learning-driven workflow
- Accurately predict protein thermostability across multisite mutations with protein FEP
- New OPLS5 polarizable force field for improved relative binding FEP+ and Desmond model accuracy (Beta)
- More accurate identification of RNA binding sites (Beta)
- Improved Glide pose prediction and enrichment when docking small molecules into RNA receptors (Beta)
What’s new in the Materials Science Schrödinger Suite Release 2024-2
We release new platform usability and technological improvements quarterly.
- New solid electrolyte interphase (SEI) simulator
- New simulation module to predict thermal conductivity
- Analysis tool for solid-state NMR (ssNMR) predictions
- Machine learning prediction for oxidation and reduction potentials
- Improvements to Schrödinger Nanoreactor
- Improvements to machine learning for materials formulations
System Requirements
View all system requirements for Linux, Windows, Mac installations and supported GPU hardware.
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