Software

Schrödinger molecular modeling software

The best molecular modeling software for molecular design and discovery

  • Simulation

    Based on physicochemical molecular modeling

  • ML

    Powered by cutting-edge machine learning

  • Cooperation

    The best system for team collaboration

Introduction to key modules

The Schrödinger software includes more than 50 modules with different functions, which can be utilized to provide quick and accurate support for drug discovery research.

  • Glide

    Glide is a solution for reliable ligand-receptor docking that aids in structure-based drug design. It has many applications, from virtual screening and binding mode prediction to ligand design.

  • Phase

    Phase is an intuitive pharmacophore modeling tool that evaluates compounds based on the steric and electronic properties of biologically active molecules. Designed to be used for both lead optimization and virtual screening, this tool uses a unique common pharmacophore recognition algorithm, enabling screening even in the absence of a protein structure.

  • Prime

    Prime integrates homology modeling and fold recognition to provide a complete protein structure prediction solution. This solution is designed to guide users through the structural prediction process with an intuitive, step-by-step interface for each stage.

  • Desmond

    Desmond is a high-performance molecular dynamics (MD) solution that utilizes GPUs to enable the extremely fast and easy simulation of biological systems, including small molecules, protein-ligand complexes, small molecules in mixed solvents, organic solids, and synthetic macromolecular complexes.

  • FEP+

    FEP+ is Schrödinger's proprietary physics-based free energy perturbation technology that computationally predicts protein-ligand binding, achieving a level of precision comparable to experimental methods. FEP+ facilitates rapid virtual design cycles and helps you focus your experimental efforts on only the highest-quality ideas. This technology enhances the profile and development potential of small and large molecules by simultaneously optimizing for efficacy, selectivity, and solubility. FEP+ has demonstrated near-experimental prediction accuracy (1 kcal/mol) in large-scale validation studies, and has been validated across a wide range of ligands and protein classes.