About Schrodinger
A physics-based computational platform for molecular discovery and design. It provides chemical simulation software for pharmaceutical, biotechnology, and materials research, enabling predictive modeling, data analytics, and collaboration.
Schrödinger provides a physics-based computational platform for molecular discovery and design, serving researchers in pharmaceuticals, biotechnology, and materials science. The platform integrates predictive modeling, data analytics, and collaborative tools to accelerate the exploration of chemical space. Core products include Maestro for unified modeling, Glide for ligand docking, Desmond for molecular dynamics, and FEP+ for free energy calculations. The software is aimed at computational chemists, medicinal chemists, and structural biologists in both academic and commercial settings. Pricing is not publicly available and requires a sales inquiry. Support is offered through a customer portal with documentation, a knowledge base, and case submission, along with training resources like online courses and webinars.
Pros & Cons
- Offers a comprehensive suite of tools for molecular modeling, simulation, and drug discovery.
- Provides a powerful physics-based platform for accurate predictions.
- Supports both life sciences and materials science applications.
- Extensive documentation, training resources, and a Python API are available.
- Used by both academic and commercial researchers in biotech and pharmaceuticals.
- Pricing is not publicly available and requires contacting sales.
- The platform can be complex, likely requiring specialized knowledge to use effectively.
Features
Key features
Tools for structure prediction, target enablement, hit discovery, and lead optimization.
Capabilities for designing polymeric materials, organic electronics, and managing energy capture and storage.
High-performance MD engine (Desmond) for scalability, throughput, and scientific accuracy.
The Jaguar module provides rapid and accurate prediction of molecular structures and properties.
Glide offers an industry-leading solution for docking ligands to receptors.
High-performance calculations for both drug discovery and biologics.
A platform for teams to collaborate on molecular design projects.
Allows for automation of workflows and extension of the software's core functionality.
Additional features
Specialized tools for engineering and modeling antibodies.
Computational methods for designing and optimizing peptides.
Tools to engineer enzymes for specific functions.
Helps de-risk solid form selection by identifying stable polymorphs.
A cloud-based system for exploring and refining vast chemical spaces.
An automated solution for training and applying predictive machine learning models.
A rapid tool for predicting pKa values.
An efficient tool for optimizing custom torsion parameters in OPLS4.
Pricing
Countries & Languages
Interface languages
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About Schrodinger
A physics-based computational platform for molecular discovery and design. It provides chemical simulation software for pharmaceutical, biotechnology, and materials research, enabling predictive modeling, data analytics, and collaboration.
Schrodinger Details
Schrodinger's In-App Market Place
Does Schrodinger have an in-app market place?
Yes
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0
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Pricing Options
Accepted Payment Currencies
Pros & Cons
- Offers a comprehensive suite of tools for molecular modeling, simulation, and drug discovery.
- Provides a powerful physics-based platform for accurate predictions.
- Supports both life sciences and materials science applications.
- Extensive documentation, training resources, and a Python API are available.
- Used by both academic and commercial researchers in biotech and pharmaceuticals.
- Pricing is not publicly available and requires contacting sales.
- The platform can be complex, likely requiring specialized knowledge to use effectively.
Schrodinger's Support Options
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