Active Learning Applications
Accelerate discovery with machine learning
Accelerate discovery with machine learning
Active Learning Applications is a powerful tool that trains a machine learning (ML) model on physics-based data, such as FEP+ predicted affinities or Glide docking scores, iteratively sampled from a full library.
Trained models can rapidly generate predictions for new molecules and identify the highest-scoring compounds in ultra-large libraries at a fraction of the cost and speed of brute force methods.
Screen billions of compounds with Glide docking amplified by cutting-edge machine learning models in a fraction of the time. Use Active Learning to recover ~70% of the same top-scoring hits that would have been found from brute force docking of ultra-large libraries with Glide, for only 0.1% of the cost.
Explore tens of thousands to hundred of thousands of idea compounds with Active Learning FEP+, against multiple hypotheses simultaneously, to quickly identify compounds that maintain or improve potency while achieving other design objectives.
Rapidly generate accurate FEP protocols for systems that do not perform well with default settings. FEP Protocol Builder uses an Active Learning workflow to iteratively search the protocol parameter space to develop accurate FEP protocols.
Schrödinger’s De Novo Design Workflow is a fully-integrated, cloud-based design system for ultra-large scale chemical space exploration and refinement.
Starting from a hit molecule or lead series, the technology identifies synthetically tractable molecules that meet key project criteria by combining multiple compound enumeration strategies with an advanced filtering cascade (AutoDesigner) and rigorous potency scoring with free energy calculations (Active Learning FEP+).
Learn more about the related computational technologies available to progress your research projects.
Fully-integrated, cloud-based design system for ultra-large scale chemical space exploration and refinement
Browse the list of peer-reviewed publications using Schrödinger technology in related application areas.
Level up your skill set with hands-on, online molecular modeling courses. These self-paced courses cover a range of scientific topics and include access to Schrödinger software and support.
Learn how to deploy the technology and best practices of Schrödinger software for your project success. Find training resources, tutorials, quick start guides, videos, and more.