Academic Site License
Large scale, university-wide access to Schrödinger software
All campus access to:
- Small molecule drug discovery, biologics discovery, and materials science software suites
- Active learning technologies
- PyMOL 3 molecular visualization software
- Seats for Schrödinger online certification courses
- Teaching with Schrödinger course materials
What’s Included
Enable teaching and research across your entire institution with Schrödinger’s industry-leading molecular modeling and machine learning tools.
Perform cutting edge research and train the next generation of scientists at your university with Schrödinger’s most comprehensive set of large-scale software licenses, spanning life science and materials science applications.
Powering teaching and research at leading universities
Access leading molecular modeling software across your entire university
Academic Departments — Chemistry, Physics, Biology
Students and researchers in a variety of academic departments use Schrödinger software to:
- Accelerate molecular design and evaluate chemical stability of molecules
- Understand reaction mechanisms
- Use theory to enhance product yield and output
- Simulate IR, Raman, UV-Vis, and NMR spectroscopy
Health Sciences & Medical School
Students and researchers in medical schools and health science departments use Schrödinger software to:
- Perform structure prediction, protein-ligand docking, virtual screening, and more
- Computationally engineer antibodies, peptides, enzymes, antigens, and other biologics modalities
- Speed up pharmaceutical formulation development
School of Engineering
Students and researchers in engineering schools use Schrödinger software to:
- Model materials for batteries, fuel cells, hydrogen storage, and more
- Simulate and analyze critical properties of component materials and interfaces
- Build machine learning models with automated cheminformatics tools
- Enumerate and explore vast chemical space using streamlined workflows
How an Academic Site License is transforming research at Emory University
“The implementation of the Schrödinger Academic Site License at Emory has facilitated greater collaboration and research advancements across our chemistry and medical science departments within the Emory BDCI initiative. The campus-wide access to industry-leading computational chemistry tools and impact on our work has surpassed our expectations.”
— Callie Wigington, Program Director, Emory Center for New Medicines, Managing Director, Biological Discovery through Chemical Innovation (BDCI)
Solutions for diverse drug discovery and materials science applications
- Biologics Discovery
- Polymeric Materials
- Organic Electronics
- Catalysis & Reactivity
- Thin Film Processing
- Energy Capture & Storage
- Complex Formulations
Get more from your ideas by harnessing the power of large-scale chemical exploration and highly accurate, in silico property predictions
- Structure Prediction & Target Enablement
- Hit Discovery
- Hit-to-Lead & Lead Optimization
- Drug Formulation
Rationally design high-quality biologics with Schrödinger’s state-of-the-art computational modeling technologies
- Antibody Design
- Peptide Discovery
- Enzyme Engineering
Polymeric Materials
Understand and predict product performance through simulations of polymers at molecular and atomic scale.
- Accurately predict chemical reactivity, polymer morphology, and key physicochemical properties
- Design new polymers, screen formulations, and optimize manufacturing
- Leverage easy to use, automated workflows for discovery and optimization
Organic Electronics
Discover optimal organic electronic materials with good conductivity, mechanical and thermal stability, and suitable for fabrication.
- Accurately predict key optoelectronic properties
- Run high-throughput screening for rapid design and discovery of advanced materials
- Leverage easy-to-use, automated workflows backed by expert scientific support
Catalysis & Reactivity
Accelerate the discovery of the next generation of catalytic and non-catalytic processes.
- Run automated workflows for high-throughput discovery of novel catalysts and reactants
- Elucidate the details of reactivity, selectivity, and specificity
- Leverage a collaborative enterprise platform for novel materials discovery
Thin Film Processing
Optimize atomic level processing for the semiconductor industry and improve device performance.
- Accurately predict surface reactivity to optimize deposition or etch processes
- Validated prediction of precursor volatility by machine learning
- Leverage efficient simulation tools for the design of novel chemicals for materials processing
Energy Capture & Storage
Accelerate the development of cleaner, lighter, safer, and more energy-efficient materials for batteries, fuel cells, and photovoltaics.
- Predict key properties for batteries, fuel cells, photovoltaics, and hydrogen storage R&D
- Simulate and analyze critical properties of component materials and interfaces
- Enumerate and explore vast chemical space using streamlined workflows
Complex Formulations
Optimize the properties of end formulation products across the pharmaceutical, consumer product, plastic, composite, and petrochemical industries.
- Predict key properties with automated workflows
- Accelerate ingredients selection with high-throughput screening and machine learning
- Identify risks and predict performance in processing
Prepare your students to solve the chemistry challenges of tomorrow
Academic Site License includes access to:
- Schrödinger’s online certificate courses in life science and materials science to advance students’ career development and enhance their research skills
- Free curriculum and tutorials for educators to use with the software and enhance your courses