Maestro

Streamlined portal for predictive computational modeling and machine learning in molecular discovery and materials design.

by Schrödinger · Drug Discovery AI

Executive Summary

Maestro is Schrödinger's flagship graphical user interface (GUI) and a unified portal for accessing its advanced physics-based computational modeling and machine learning workflows. It empowers users across various experience levels to gain novel molecular insights for both molecular discovery and materials design initiatives. The platform provides a comprehensive environment for state-of-the-art predictive modeling, supporting critical research and development activities. Beyond its intuitive interface, Maestro includes robust monitoring and analysis features, alongside powerful scripting capabilities and a Python API, enabling automation of complex or repetitive tasks and seamless integration into existing research pipelines.

Use Cases

  • Molecular Discovery
  • Materials Design
  • Drug Discovery Research
  • Materials Innovation with AI/ML
  • Atomic-scale Structural Visualization

Features

Visibility

  • Intuitive Graphical User Interface: Provides an advanced, user-friendly GUI for unified access to computational modeling and molecular insights, suitable for users of all experience levels.
  • Atomic-scale Structural Visualization: Enables detailed and interactive visualization of molecular and materials structures, aiding in the understanding of complex systems.

Intelligence

  • Predictive Computational Modeling: Utilizes state-of-the-art physics-based models for accurate predictions in molecular and materials science, accelerating discovery.
  • Machine Learning Workflows: Integrates advanced machine learning capabilities to enhance and accelerate discovery and design processes for novel molecules and materials.
  • Scripting and Automation: Offers powerful scripting capabilities and a comprehensive Python API to automate repetitive tasks, customize workflows, and integrate with other research tools.

Support

  • Knowledge Base & Support Articles: Access to a comprehensive online knowledge base with support articles, FAQs, and troubleshooting guides for common issues.
  • Molecular Modeling Training Resources: Provides curated training resources and educational materials from Schrödinger Education experts to help users master the platform.

Technical Specifications

Deployment
Hybrid
API Available
Yes

Integrations

  • KNIME

Pricing

Model
License-based subscription
Starting Price
Contact sales
Target Customer
Mid-Market,Enterprise,Academic
Free Trial
No

About Schrödinger

Schrödinger, Inc. is an international scientific software and biotechnology company that specializes in developing computational tools and software for drug discovery and materials science. They offer a physics-based computational platform that enables the rapid and accurate discovery of high-quality, novel molecules for drug development and materials applications.

Founded: 1990 · Headquarters: New York, United States · Employees: 501-1000 · Public